From 2c908c3d4612fd37ce019cc6e39d9ab81f0471aa Mon Sep 17 00:00:00 2001 From: KSkwarczynski Date: Sat, 13 Jul 2024 02:41:29 +0000 Subject: [PATCH] deploy: 45ab28364d44721e4d11f0d9697df4e50054a279 --- FDMCStruct_8h.html | 1 + FDMCStruct_8h_source.html | 12 +- FitterBase_8cpp_source.html | 2 +- FitterBase_8h_source.html | 2 +- MaCh3Logger_8h.html | 43 +- MaCh3Logger_8h_source.html | 43 +- PSO_8cpp_source.html | 56 +-- PSO_8h_source.html | 431 +++++++++-------- SampleSummary_8cpp_source.html | 8 +- SampleSummary_8h_source.html | 2 +- ShiftFunctors_8h_source.html | 2 +- SplineMonolith_8cpp_source.html | 2 +- SplineMonolith_8h_source.html | 2 +- SplineStructs_8h.html | 3 +- SplineStructs_8h_source.html | 230 ++++----- Structs_8cpp.html | 3 +- Structs_8cpp_source.html | 2 +- Structs_8h.html | 4 +- Structs_8h_source.html | 5 +- ThrowParms_8cpp_source.html | 10 +- ThrowParms_8h.html | 1 + ThrowParms_8h_source.html | 58 +-- annotated.html | 10 +- classFitterBase.html | 2 +- classPSO.html | 196 ++++---- classSMonolith.html | 24 +- classSampleSummary.html | 6 +- classTF1__red.html | 166 +++---- classTSpline3__red.html | 6 +- classThrowParms.html | 37 +- classTruncated__Spline.html | 7 +- classcovarianceBase.html | 634 ++++++++++++++----------- classcovarianceOsc.html | 27 +- classcovarianceXsec.html | 54 ++- classparticle.html | 114 ++--- classsamplePDFBase.html | 175 ++++--- classsamplePDFFDBase.html | 38 +- classsplineFDBase.html | 2 +- covarianceBase_8cpp_source.html | 118 ++--- covarianceBase_8h_source.html | 787 +++++++++++++++---------------- covarianceOsc_8cpp_source.html | 18 +- covarianceXsec_8cpp_source.html | 46 +- covarianceXsec_8h_source.html | 10 +- hierarchy.html | 10 +- namespaceMaCh3Utils.html | 3 + samplePDFBase_8cpp_source.html | 40 +- samplePDFBase_8h.html | 1 + samplePDFBase_8h_source.html | 274 ++++++----- samplePDFFDBase_8cpp_source.html | 30 +- samplePDFFDBase_8h_source.html | 7 +- splineFDBase_8cpp_source.html | 2 +- structXsecNorms4.html | 5 +- structfdmc__base.html | 15 +- 53 files changed, 1971 insertions(+), 1815 deletions(-) diff --git a/FDMCStruct_8h.html b/FDMCStruct_8h.html index aeecdbb6..3954c86f 100644 --- a/FDMCStruct_8h.html +++ b/FDMCStruct_8h.html @@ -86,6 +86,7 @@

Classes

struct  fdmc_base + constructors are same for all three so put in here More...
  diff --git a/FDMCStruct_8h_source.html b/FDMCStruct_8h_source.html index f8dbb033..4d6ee887 100644 --- a/FDMCStruct_8h_source.html +++ b/FDMCStruct_8h_source.html @@ -86,7 +86,6 @@ Go to the documentation of this file.
1#pragma once
2
3
-
4//constructors are same for all three so put in here
5struct fdmc_base {
6 int nutype; // 2 = numu/signue | -2 = numub | 1 = nue | -1 = nueb
@@ -106,10 +105,8 @@
20 double** y_var;
21 double **rw_etru;
22
-
23 // xsec bins
24 std::list< int > *xsec_norms_bins;
25
-
26 //DB Speedup bits
27 double Unity;
28
29 int* nxsec_norm_pointers;
@@ -140,7 +137,6 @@
54
55 int **mode;
56
-
57 // DB Atmospheric Parameters
58 const double **osc_w_pointer;
59 double *rw_truecz;
60
@@ -161,11 +157,11 @@
GetFromManager
Type GetFromManager(const YAML::Node &node, Type defval)
Get content of config file if node is not found take default value specified.
Definition YamlHelper.h:18
splineFDBase
Bin-by-bin class calculating response for spline parameters.
Definition splineFDBase.h:11
-
fdmc_base
Definition FDMCStruct.h:5
+
fdmc_base
constructors are same for all three so put in here
Definition FDMCStruct.h:5
fdmc_base::flavourName
std::string flavourName
Definition FDMCStruct.h:12
fdmc_base::ntotal_weight_pointers
int * ntotal_weight_pointers
Definition FDMCStruct.h:38
fdmc_base::skdet_pointer
const double ** skdet_pointer
Definition FDMCStruct.h:35
-
fdmc_base::Unity
double Unity
Definition FDMCStruct.h:27
+
fdmc_base::Unity
double Unity
DB Speedup bits.
Definition FDMCStruct.h:27
fdmc_base::xsec_spline_pointers
const double *** xsec_spline_pointers
Definition FDMCStruct.h:33
fdmc_base::ProbType
cudaprob3::ProbType ProbType
Definition FDMCStruct.h:71
fdmc_base::nupdgUnosc
int nupdgUnosc
Definition FDMCStruct.h:9
@@ -182,7 +178,7 @@
fdmc_base::NeutrinoType
cudaprob3::NeutrinoType NeutrinoType
Definition FDMCStruct.h:72
fdmc_base::xsec_norm_pointers
const double *** xsec_norm_pointers
Definition FDMCStruct.h:30
fdmc_base::nxsec_spline_pointers
int * nxsec_spline_pointers
Definition FDMCStruct.h:32
-
fdmc_base::xsec_norms_bins
std::list< int > * xsec_norms_bins
Definition FDMCStruct.h:24
+
fdmc_base::xsec_norms_bins
std::list< int > * xsec_norms_bins
xsec bins
Definition FDMCStruct.h:24
fdmc_base::mode
int ** mode
Definition FDMCStruct.h:55
fdmc_base::oscnutype
int oscnutype
Definition FDMCStruct.h:7
fdmc_base::XBin
int * XBin
Definition FDMCStruct.h:42
@@ -191,7 +187,7 @@
fdmc_base::rw_etru
double ** rw_etru
Definition FDMCStruct.h:21
fdmc_base::rw_lower_lower_xbinedge
double * rw_lower_lower_xbinedge
Definition FDMCStruct.h:51
fdmc_base::YBin
int * YBin
Definition FDMCStruct.h:43
-
fdmc_base::osc_w_pointer
const double ** osc_w_pointer
Definition FDMCStruct.h:58
+
fdmc_base::osc_w_pointer
const double ** osc_w_pointer
DB Atmospheric Parameters.
Definition FDMCStruct.h:58
fdmc_base::nEvents
int nEvents
Definition FDMCStruct.h:11
fdmc_base::NomYBin
int * NomYBin
Definition FDMCStruct.h:45
fdmc_base::SampleDetID
int SampleDetID
Definition FDMCStruct.h:16
diff --git a/FitterBase_8cpp_source.html b/FitterBase_8cpp_source.html index 77adde3d..0a66c1ac 100644 --- a/FitterBase_8cpp_source.html +++ b/FitterBase_8cpp_source.html @@ -1629,7 +1629,7 @@
manager::SaveSettings
void SaveSettings(TFile *const OutputFile)
Add manager useful information's to TFile, in most cases to Fitter.
Definition manager.cpp:58
manager::GetMaCh3Modes
MaCh3Modes * GetMaCh3Modes() const
Return pointer to MaCh3 modes.
Definition manager.h:50
manager::raw
YAML::Node const & raw()
Return config.
Definition manager.h:48
- +
samplePDFBase
Class responsible for handling implementation of samples used in analysis, reweighting and returning ...
Definition samplePDFBase.h:28
MaCh3Utils::getValue
int getValue(std::string Type)
CW: Get info like RAM.
Definition Monitor.cpp:210
MaCh3Utils::PrintProgressBar
void PrintProgressBar(const int Done, const int All)
KS: Simply print progress bar.
Definition Monitor.cpp:186
diff --git a/FitterBase_8h_source.html b/FitterBase_8h_source.html index 1d3c49d8..01e9a098 100644 --- a/FitterBase_8h_source.html +++ b/FitterBase_8h_source.html @@ -241,7 +241,7 @@
covarianceBase
Base class responsible for handling of systematic error parameters. Capable of using PCA or using ada...
Definition covarianceBase.h:32
covarianceOsc
Class responsible for handling of neutrino oscillation parameters.
Definition covarianceOsc.h:8
manager
The manager class is responsible for managing configurations and settings.
Definition manager.h:28
-
samplePDFBase
Definition samplePDFBase.h:27
+
samplePDFBase
Class responsible for handling implementation of samples used in analysis, reweighting and returning ...
Definition samplePDFBase.h:28
covarianceBase.h
covarianceOsc.h
manager.h
diff --git a/MaCh3Logger_8h.html b/MaCh3Logger_8h.html index 72f43426..128c43d1 100644 --- a/MaCh3Logger_8h.html +++ b/MaCh3Logger_8h.html @@ -306,25 +306,30 @@

Definition at line 57 of file MaCh3Logger.h.

58{
-
59 std::stringstream sss;
-
60 std::streambuf* coutBuf = std::cout.rdbuf();
-
61 std::streambuf* cerrBuf = std::cerr.rdbuf();
-
62
-
63 std::cout.rdbuf(sss.rdbuf());
-
64 std::cerr.rdbuf(sss.rdbuf());
-
65
-
66 func(std::forward<Args>(args)...);
-
67
-
68 std::cout.rdbuf(coutBuf);
-
69 std::cerr.rdbuf(cerrBuf);
-
70
-
71 std::string line;
-
72 while (std::getline(sss, line))
-
73 {
-
74 auto formatted_message = fmt::format("[{}] {}", LibName, line);
-
75 logFunction(formatted_message);
-
76 }
-
77}
+
59 // Create a stringstream to capture the output
+
60 std::stringstream sss;
+
61 // Save the original stream buffers
+
62 std::streambuf* coutBuf = std::cout.rdbuf();
+
63 std::streambuf* cerrBuf = std::cerr.rdbuf();
+
64
+
65 // Redirect std::cout and std::cerr to the stringstream buffer
+
66 std::cout.rdbuf(sss.rdbuf());
+
67 std::cerr.rdbuf(sss.rdbuf());
+
68
+
69 // Call the provided function
+
70 func(std::forward<Args>(args)...);
+
71
+
72 // Restore the original stream buffers
+
73 std::cout.rdbuf(coutBuf);
+
74 std::cerr.rdbuf(cerrBuf);
+
75
+
76 std::string line;
+
77 while (std::getline(sss, line))
+
78 {
+
79 auto formatted_message = fmt::format("[{}] {}", LibName, line);
+
80 logFunction(formatted_message);
+
81 }
+
82}
diff --git a/MaCh3Logger_8h_source.html b/MaCh3Logger_8h_source.html index 21efffee..891ea51a 100644 --- a/MaCh3Logger_8h_source.html +++ b/MaCh3Logger_8h_source.html @@ -120,25 +120,30 @@
57void LoggerPrint(const std::string& LibName, LogFunc logFunction, Func&& func, Args&&... args)
58{
-
59 std::stringstream sss;
-
60 std::streambuf* coutBuf = std::cout.rdbuf();
-
61 std::streambuf* cerrBuf = std::cerr.rdbuf();
-
62
-
63 std::cout.rdbuf(sss.rdbuf());
-
64 std::cerr.rdbuf(sss.rdbuf());
-
65
-
66 func(std::forward<Args>(args)...);
-
67
-
68 std::cout.rdbuf(coutBuf);
-
69 std::cerr.rdbuf(cerrBuf);
-
70
-
71 std::string line;
-
72 while (std::getline(sss, line))
-
73 {
-
74 auto formatted_message = fmt::format("[{}] {}", LibName, line);
-
75 logFunction(formatted_message);
-
76 }
-
77}
+
59 // Create a stringstream to capture the output
+
60 std::stringstream sss;
+
61 // Save the original stream buffers
+
62 std::streambuf* coutBuf = std::cout.rdbuf();
+
63 std::streambuf* cerrBuf = std::cerr.rdbuf();
+
64
+
65 // Redirect std::cout and std::cerr to the stringstream buffer
+
66 std::cout.rdbuf(sss.rdbuf());
+
67 std::cerr.rdbuf(sss.rdbuf());
+
68
+
69 // Call the provided function
+
70 func(std::forward<Args>(args)...);
+
71
+
72 // Restore the original stream buffers
+
73 std::cout.rdbuf(coutBuf);
+
74 std::cerr.rdbuf(cerrBuf);
+
75
+
76 std::string line;
+
77 while (std::getline(sss, line))
+
78 {
+
79 auto formatted_message = fmt::format("[{}] {}", LibName, line);
+
80 logFunction(formatted_message);
+
81 }
+
82}
SetMaCh3LoggerFormat
void SetMaCh3LoggerFormat()
Set messaging format of the logger.
Definition MaCh3Logger.h:20
LoggerPrint
void LoggerPrint(const std::string &LibName, LogFunc logFunction, Func &&func, Args &&... args)
KS: This is bit convoluted but this is to allow redirecting cout and errors from external library int...
Definition MaCh3Logger.h:57
diff --git a/PSO_8cpp_source.html b/PSO_8cpp_source.html index a01dfba5..1d738a15 100644 --- a/PSO_8cpp_source.html +++ b/PSO_8cpp_source.html @@ -674,47 +674,47 @@
LikelihoodFit
Implementation of base Likelihood Fit class, it is mostly responsible for likelihood calculation whil...
Definition LikelihoodFit.h:6
LikelihoodFit::PrepareFit
void PrepareFit()
prepare output and perform sanity checks
Definition LikelihoodFit.cpp:21
LikelihoodFit::CalcChi2
virtual double CalcChi2(const double *x)
Chi2 calculation over all included samples and syst objects.
Definition LikelihoodFit.cpp:44
-
PSO::vector_add
std::vector< double > vector_add(std::vector< double > v1, std::vector< double > v2)
Definition PSO.h:111
+
PSO::vector_add
std::vector< double > vector_add(std::vector< double > v1, std::vector< double > v2)
Definition PSO.h:104
PSO::PSO
PSO(manager *const fitMan)
constructor
Definition PSO.cpp:3
-
PSO::vector_subtract
std::vector< double > vector_subtract(std::vector< double > v1, std::vector< double > v2)
Definition PSO.h:116
-
PSO::ranges_max
std::vector< double > ranges_max
Definition PSO.h:146
-
PSO::fConstriction
double fConstriction
Definition PSO.h:154
+
PSO::vector_subtract
std::vector< double > vector_subtract(std::vector< double > v1, std::vector< double > v2)
Definition PSO.h:109
+
PSO::ranges_max
std::vector< double > ranges_max
Definition PSO.h:139
+
PSO::fConstriction
double fConstriction
Definition PSO.h:147
PSO::init
void init()
Definition PSO.cpp:43
-
PSO::vector_multiply
std::vector< double > vector_multiply(std::vector< double > velocity, double mul)
Definition PSO.h:106
+
PSO::vector_multiply
std::vector< double > vector_multiply(std::vector< double > velocity, double mul)
Definition PSO.h:99
PSO::CalcChi2
double CalcChi2(const double *x)
Chi2 calculation over all included samples and syst objects.
Definition PSO.cpp:516
-
PSO::three_vector_addition
std::vector< double > three_vector_addition(std::vector< double > vec1, std::vector< double > vec2, std::vector< double > vec3)
Definition PSO.h:121
-
PSO::fTwo
double fTwo
Definition PSO.h:151
-
PSO::fixed
std::vector< bool > fixed
Definition PSO.h:145
-
PSO::fInertia
double fInertia
Definition PSO.h:149
-
PSO::get_best_particle
particle * get_best_particle()
Definition PSO.h:88
-
PSO::fParticles
int fParticles
Definition PSO.h:157
-
PSO::fOne
double fOne
Definition PSO.h:150
-
PSO::fIterations
int fIterations
Definition PSO.h:153
+
PSO::three_vector_addition
std::vector< double > three_vector_addition(std::vector< double > vec1, std::vector< double > vec2, std::vector< double > vec3)
Definition PSO.h:114
+
PSO::fTwo
double fTwo
Definition PSO.h:144
+
PSO::fixed
std::vector< bool > fixed
Definition PSO.h:138
+
PSO::fInertia
double fInertia
Definition PSO.h:142
+
PSO::get_best_particle
particle * get_best_particle()
Definition PSO.h:81
+
PSO::fParticles
int fParticles
Definition PSO.h:150
+
PSO::fOne
double fOne
Definition PSO.h:143
+
PSO::fIterations
int fIterations
Definition PSO.h:146
PSO::uncertainty_check
void uncertainty_check(std::vector< double > previous_pos)
Definition PSO.cpp:285
-
PSO::set_best_particle
void set_best_particle(particle *n)
Definition PSO.h:91
-
PSO::paramlist
std::vector< double * > paramlist
Definition PSO.h:159
-
PSO::system
std::vector< particle * > system
Definition PSO.h:148
-
PSO::vel
double vel[kMaxParticles]
Definition PSO.h:160
-
PSO::fConvergence
double fConvergence
Definition PSO.h:152
-
PSO::CalcChi
double CalcChi(std::vector< double > x)
Definition PSO.h:134
-
PSO::fBestValue
double fBestValue
Definition PSO.h:143
-
PSO::uncertainties
std::vector< std::vector< double > > uncertainties
Definition PSO.h:155
-
PSO::ranges_min
std::vector< double > ranges_min
Definition PSO.h:147
-
PSO::par
double * par
Definition PSO.h:161
-
PSO::fDim
int fDim
Definition PSO.h:163
+
PSO::set_best_particle
void set_best_particle(particle *n)
Definition PSO.h:84
+
PSO::paramlist
std::vector< double * > paramlist
Definition PSO.h:152
+
PSO::system
std::vector< particle * > system
Definition PSO.h:141
+
PSO::vel
double vel[kMaxParticles]
Definition PSO.h:153
+
PSO::fConvergence
double fConvergence
Definition PSO.h:145
+
PSO::CalcChi
double CalcChi(std::vector< double > x)
Definition PSO.h:127
+
PSO::fBestValue
double fBestValue
Definition PSO.h:136
+
PSO::uncertainties
std::vector< std::vector< double > > uncertainties
Definition PSO.h:148
+
PSO::ranges_min
std::vector< double > ranges_min
Definition PSO.h:140
+
PSO::par
double * par
Definition PSO.h:154
+
PSO::fDim
int fDim
Definition PSO.h:156
PSO::calc_uncertainty
std::vector< std::vector< double > > calc_uncertainty(std::vector< double >position, double minimum)
Definition PSO.cpp:222
PSO::run
void run()
Definition PSO.cpp:381
PSO::WriteOutput
void WriteOutput()
Definition PSO.cpp:427
PSO::bisection
std::vector< std::vector< double > > bisection(std::vector< double >position, double minimum, double range, double precision)
Definition PSO.cpp:144
PSO::swarmIterate
double swarmIterate()
Definition PSO.cpp:321
PSO::rastriginFunc
double rastriginFunc(const double *x)
Definition PSO.cpp:531
-
PSO::prior
std::vector< double > prior
Definition PSO.h:144
+
PSO::prior
std::vector< double > prior
Definition PSO.h:137
PSO::runMCMC
void runMCMC() override
Implementation of fitting algorithm.
Definition PSO.cpp:21
manager
The manager class is responsible for managing configurations and settings.
Definition manager.h:28
manager::raw
YAML::Node const & raw()
Return config.
Definition manager.h:48
-
particle
Class particle - stores the position, velocity and personal best With functions which move particle a...
Definition PSO.h:18
-
particle::get_personal_best_position
std::vector< double > get_personal_best_position()
Definition PSO.h:39
-
particle::get_personal_best_value
double get_personal_best_value()
Definition PSO.h:47
+
particle
Class particle - stores the position, velocity and personal best With functions which move particle a...
Definition PSO.h:17
+
particle::get_personal_best_position
std::vector< double > get_personal_best_position()
Definition PSO.h:36
+
particle::get_personal_best_value
double get_personal_best_value()
Definition PSO.h:44
diff --git a/PSO_8h_source.html b/PSO_8h_source.html index eff81629..38948ead 100644 --- a/PSO_8h_source.html +++ b/PSO_8h_source.html @@ -87,264 +87,257 @@
2//
3// Created by Emily Ip on 24/2/2023.
4//
-
5//
-
6// Created by Emily Ip on 26/1/2023.
-
7//
-
8#include <algorithm>
-
9#include <functional>
-
10#include <numeric>
-
11
-
12// MaCh3 includes
-
13#include "mcmc/LikelihoodFit.h"
+
5// Created by Emily Ip on 26/1/2023.
+
6//
+
7#include <algorithm>
+
8#include <functional>
+
9#include <numeric>
+
10
+
11// MaCh3 includes
+
12#include "mcmc/LikelihoodFit.h"
+
13
14
-
15
-
-
18class particle{
-
19
-
20 public:
-
21
-
22 particle(){};
-
23 particle(std::vector<double> pos, std::vector<double> vel) : position(pos), velocity(vel){};
-
25 virtual ~particle() {};
-
26
-
-
27 void set_position(std::vector<double> new_position) {
-
28 position = new_position;
-
29 };
+
+
17class particle{
+
18 public:
+
19 particle(){};
+
20 particle(std::vector<double> pos, std::vector<double> vel) : position(pos), velocity(vel){};
+
22 virtual ~particle() {};
+
23
+
+
24 void set_position(std::vector<double> new_position) {
+
25 position = new_position;
+
26 };
-
30
-
-
31 std::vector<double> get_position() {
-
32 return position;
-
33 };
+
27
+
+
28 std::vector<double> get_position() {
+
29 return position;
+
30 };
-
34
-
-
35 void set_personal_best_position(std::vector<double> new_pos){
-
36 personal_best_position = new_pos;
-
37 };
+
31
+
+
32 void set_personal_best_position(std::vector<double> new_pos){
+
33 personal_best_position = new_pos;
+
34 };
-
38
-
-
39 std::vector<double> get_personal_best_position(){
-
40 return personal_best_position;
-
41 };
+
35
+
+
36 std::vector<double> get_personal_best_position(){
+
37 return personal_best_position;
+
38 };
-
42
-
-
43 void set_personal_best_value(double new_val){
-
44 personal_best_value = new_val;
-
45 };
+
39
+ -
46
-
-
47 double get_personal_best_value(){
-
48 return personal_best_value;
-
49 };
+
43
+
+
44 double get_personal_best_value(){
+
45 return personal_best_value;
+
46 };
-
50
-
-
51 std::vector<double> get_velocity(){
-
52 return velocity;
-
53 };
+
47
+
+
48 std::vector<double> get_velocity(){
+
49 return velocity;
+
50 };
-
54
-
-
55 void set_velocity(std::vector<double> new_velocity){
-
56 velocity = new_velocity;
-
57 };
+
51
+
+
52 void set_velocity(std::vector<double> new_velocity){
+
53 velocity = new_velocity;
+
54 };
+
+
55
+
+
56 double get_value(){
+
57 return curr_value;
+
58 };
-
58
-
59 double get_value(){
-
60 return curr_value;
+
59 void set_value(double val){
+
60 curr_value = val;
61 };
-
-
62 void set_value(double val){
-
63 curr_value = val;
-
64 };
+
62
+
63 private:
+
64 std::vector<double> position;
+
65 std::vector<double> velocity;
+
66 double personal_best_value;
+
67 double curr_value;
+
68 std::vector<double> personal_best_position;
+
69};
-
65
-
66 private:
-
67 std::vector<double> position;
-
68 std::vector<double> velocity;
-
69 double personal_best_value;
-
70 double curr_value;
-
71 std::vector<double> personal_best_position;
-
72
-
73
-
74};
+
70
+
+
74class PSO : public LikelihoodFit {
+
75 public:
+
77 PSO(manager * const fitMan);
+
79 virtual ~PSO() {};
+
80
+
+
81 particle* get_best_particle(){
+
82 return best_particle;
+
83 }
-
75
-
76
-
-
80class PSO : public LikelihoodFit {
-
81
-
82 public:
-
84 PSO(manager * const fitMan);
-
86 virtual ~PSO() {};
-
87
-
-
88 particle* get_best_particle(){
-
89 return best_particle;
-
90 }
+
+
84 void set_best_particle(particle* n){
+
85 best_particle = n;
+
86 }
-
-
91 void set_best_particle(particle* n){
-
92 best_particle = n;
-
93 }
+
87
+
88 std::vector<std::vector<double>> bisection(std::vector<double>position,double minimum, double range, double precision);
+
89 std::vector<std::vector<double>> calc_uncertainty(std::vector<double>position,double minimum);
+
90 void init();
+
91 void uncertainty_check(std::vector<double> previous_pos);
+
92 void run();
+
93 void WriteOutput();
+
94 void runMCMC() override;
+
95 double CalcChi2(const double* x);
+
96 double rastriginFunc(const double* x);
+
97 double swarmIterate();
+
98
+
+
99 std::vector<double> vector_multiply(std::vector<double> velocity, double mul){
+
100 transform(velocity.begin(),velocity.end(),velocity.begin(),std::bind1st(std::multiplies<double>(),mul));
+
101 return velocity;
+
102 };
-
94
-
95 std::vector<std::vector<double>> bisection(std::vector<double>position,double minimum, double range, double precision);
-
96 std::vector<std::vector<double>> calc_uncertainty(std::vector<double>position,double minimum);
-
97 void init();
-
98 void uncertainty_check(std::vector<double> previous_pos);
-
99 void run();
-
100 void WriteOutput();
-
101 void runMCMC() override;
-
102 double CalcChi2(const double* x);
-
103 double rastriginFunc(const double* x);
-
104 double swarmIterate();
-
105
-
-
106 std::vector<double> vector_multiply(std::vector<double> velocity, double mul){
-
107 transform(velocity.begin(),velocity.end(),velocity.begin(),std::bind1st(std::multiplies<double>(),mul));
-
108 return velocity;
-
109 };
+
103
+
+
104 std::vector<double> vector_add(std::vector<double> v1, std::vector<double> v2){
+
105 std::vector<double> v3;
+
106 transform(v1.begin(), v1.end(), v2.begin(), back_inserter(v3), std::plus<double>());
+
107 return v3;
+
108 };
-
110
-
-
111 std::vector<double> vector_add(std::vector<double> v1, std::vector<double> v2){
-
112 std::vector<double> v3;
-
113 transform(v1.begin(), v1.end(), v2.begin(), back_inserter(v3), std::plus<double>());
-
114 return v3;
-
115 };
+
+
109 std::vector<double> vector_subtract(std::vector<double> v1, std::vector<double> v2){
+
110 std::vector<double> v3 ;
+
111 transform(v1.begin(), v1.end(), v2.begin(), back_inserter(v3), std::minus<double>());
+
112 return v3;
+
113 };
-
-
116 std::vector<double> vector_subtract(std::vector<double> v1, std::vector<double> v2){
-
117 std::vector<double> v3 ;
-
118 transform(v1.begin(), v1.end(), v2.begin(), back_inserter(v3), std::minus<double>());
-
119 return v3;
-
120 };
+
+
114 std::vector<double> three_vector_addition(std::vector<double> vec1, std::vector<double> vec2,std::vector<double> vec3){
+
115 for (size_t i = 0; i < vec1.size(); ++i) {
+
116 vec1[i] += vec2[i] + vec3[i];
+
117 }
+
118 return vec1;
+
119 };
-
-
121 std::vector<double> three_vector_addition(std::vector<double> vec1, std::vector<double> vec2,std::vector<double> vec3){
-
122 for (size_t i = 0; i < vec1.size(); ++i) {
-
123 vec1[i] += vec2[i] + vec3[i];
-
124 }
-
125 return vec1;
-
126 };
+
+
120 std::vector<double> four_vector_addition(std::vector<double> vec1, std::vector<double> vec2,std::vector<double> vec3,std::vector<double> vec4){
+
121 for (size_t i = 0; i < vec1.size(); ++i) {
+
122 vec1[i] += vec2[i] + vec3[i] + vec4[i];
+
123 }
+
124 return vec1;
+
125 };
+
126
-
127 std::vector<double> four_vector_addition(std::vector<double> vec1, std::vector<double> vec2,std::vector<double> vec3,std::vector<double> vec4){
-
128 for (size_t i = 0; i < vec1.size(); ++i) {
-
129 vec1[i] += vec2[i] + vec3[i] + vec4[i];
-
130 }
-
131 return vec1;
-
132 };
+
127 double CalcChi(std::vector<double> x){
+
128 double* a = &x[0];
+
129 return CalcChi2(a);
+
130 };
+
131
+
132 inline std::string GetName()const {return "PSO";};
133
-
-
134 double CalcChi(std::vector<double> x){
-
135 double* a = &x[0];
-
136 return CalcChi2(a);
-
137 };
-
-
138
-
139 inline std::string GetName()const {return "PSO";};
-
140
-
141 private:
-
142 particle* best_particle;
-
143 double fBestValue;
-
144 std::vector<double> prior;
-
145 std::vector<bool> fixed;
-
146 std::vector<double> ranges_max;
-
147 std::vector<double> ranges_min;
-
148 std::vector<particle*> system;
-
149 double fInertia;
-
150 double fOne;
-
151 double fTwo;
-
152 double fConvergence;
-
153 int fIterations;
-
154 double fConstriction;
-
155 std::vector<std::vector<double> > uncertainties;
-
156
-
157 int fParticles;
-
158 static const int kMaxParticles = 10000;
-
159 std::vector<double*> paramlist;
-
160 double vel[kMaxParticles];
-
161 double* par;
-
162
-
163 int fDim;
-
164};
+
134 private:
+
135 particle* best_particle;
+
136 double fBestValue;
+
137 std::vector<double> prior;
+
138 std::vector<bool> fixed;
+
139 std::vector<double> ranges_max;
+
140 std::vector<double> ranges_min;
+
141 std::vector<particle*> system;
+
142 double fInertia;
+
143 double fOne;
+
144 double fTwo;
+
145 double fConvergence;
+
146 int fIterations;
+
147 double fConstriction;
+
148 std::vector<std::vector<double> > uncertainties;
+
149
+
150 int fParticles;
+
151 static const int kMaxParticles = 10000;
+
152 std::vector<double*> paramlist;
+
153 double vel[kMaxParticles];
+
154 double* par;
+
155
+
156 int fDim;
+
157};
-
165
+
158
GetFromManager
Type GetFromManager(const YAML::Node &node, Type defval)
Get content of config file if node is not found take default value specified.
Definition YamlHelper.h:18
FitterBase::fitMan
manager * fitMan
The manager.
Definition FitterBase.h:92
LikelihoodFit
Implementation of base Likelihood Fit class, it is mostly responsible for likelihood calculation whil...
Definition LikelihoodFit.h:6
-
PSO
Class PSO, consist of a vector of object Class Particle and global best Takes in the size (number of ...
Definition PSO.h:80
-
PSO::vector_add
std::vector< double > vector_add(std::vector< double > v1, std::vector< double > v2)
Definition PSO.h:111
-
PSO::kMaxParticles
static const int kMaxParticles
Definition PSO.h:158
-
PSO::~PSO
virtual ~PSO()
Destructor.
Definition PSO.h:86
-
PSO::vector_subtract
std::vector< double > vector_subtract(std::vector< double > v1, std::vector< double > v2)
Definition PSO.h:116
-
PSO::ranges_max
std::vector< double > ranges_max
Definition PSO.h:146
-
PSO::fConstriction
double fConstriction
Definition PSO.h:154
+
PSO
Class PSO, consist of a vector of object Class Particle and global best Takes in the size (number of ...
Definition PSO.h:74
+
PSO::vector_add
std::vector< double > vector_add(std::vector< double > v1, std::vector< double > v2)
Definition PSO.h:104
+
PSO::kMaxParticles
static const int kMaxParticles
Definition PSO.h:151
+
PSO::~PSO
virtual ~PSO()
Destructor.
Definition PSO.h:79
+
PSO::vector_subtract
std::vector< double > vector_subtract(std::vector< double > v1, std::vector< double > v2)
Definition PSO.h:109
+
PSO::ranges_max
std::vector< double > ranges_max
Definition PSO.h:139
+
PSO::fConstriction
double fConstriction
Definition PSO.h:147
PSO::init
void init()
Definition PSO.cpp:43
-
PSO::vector_multiply
std::vector< double > vector_multiply(std::vector< double > velocity, double mul)
Definition PSO.h:106
+
PSO::vector_multiply
std::vector< double > vector_multiply(std::vector< double > velocity, double mul)
Definition PSO.h:99
PSO::CalcChi2
double CalcChi2(const double *x)
Chi2 calculation over all included samples and syst objects.
Definition PSO.cpp:516
-
PSO::three_vector_addition
std::vector< double > three_vector_addition(std::vector< double > vec1, std::vector< double > vec2, std::vector< double > vec3)
Definition PSO.h:121
-
PSO::fTwo
double fTwo
Definition PSO.h:151
-
PSO::fixed
std::vector< bool > fixed
Definition PSO.h:145
-
PSO::GetName
std::string GetName() const
Get name of class.
Definition PSO.h:139
-
PSO::fInertia
double fInertia
Definition PSO.h:149
-
PSO::get_best_particle
particle * get_best_particle()
Definition PSO.h:88
-
PSO::fParticles
int fParticles
Definition PSO.h:157
-
PSO::fOne
double fOne
Definition PSO.h:150
-
PSO::fIterations
int fIterations
Definition PSO.h:153
+
PSO::three_vector_addition
std::vector< double > three_vector_addition(std::vector< double > vec1, std::vector< double > vec2, std::vector< double > vec3)
Definition PSO.h:114
+
PSO::fTwo
double fTwo
Definition PSO.h:144
+
PSO::fixed
std::vector< bool > fixed
Definition PSO.h:138
+
PSO::GetName
std::string GetName() const
Get name of class.
Definition PSO.h:132
+
PSO::fInertia
double fInertia
Definition PSO.h:142
+
PSO::get_best_particle
particle * get_best_particle()
Definition PSO.h:81
+
PSO::fParticles
int fParticles
Definition PSO.h:150
+
PSO::fOne
double fOne
Definition PSO.h:143
+
PSO::fIterations
int fIterations
Definition PSO.h:146
PSO::uncertainty_check
void uncertainty_check(std::vector< double > previous_pos)
Definition PSO.cpp:285
-
PSO::best_particle
particle * best_particle
Definition PSO.h:142
-
PSO::set_best_particle
void set_best_particle(particle *n)
Definition PSO.h:91
-
PSO::paramlist
std::vector< double * > paramlist
Definition PSO.h:159
-
PSO::system
std::vector< particle * > system
Definition PSO.h:148
-
PSO::vel
double vel[kMaxParticles]
Definition PSO.h:160
-
PSO::four_vector_addition
std::vector< double > four_vector_addition(std::vector< double > vec1, std::vector< double > vec2, std::vector< double > vec3, std::vector< double > vec4)
Definition PSO.h:127
-
PSO::fConvergence
double fConvergence
Definition PSO.h:152
-
PSO::CalcChi
double CalcChi(std::vector< double > x)
Definition PSO.h:134
-
PSO::fBestValue
double fBestValue
Definition PSO.h:143
-
PSO::uncertainties
std::vector< std::vector< double > > uncertainties
Definition PSO.h:155
-
PSO::ranges_min
std::vector< double > ranges_min
Definition PSO.h:147
-
PSO::par
double * par
Definition PSO.h:161
-
PSO::fDim
int fDim
Definition PSO.h:163
+
PSO::best_particle
particle * best_particle
Definition PSO.h:135
+
PSO::set_best_particle
void set_best_particle(particle *n)
Definition PSO.h:84
+
PSO::paramlist
std::vector< double * > paramlist
Definition PSO.h:152
+
PSO::system
std::vector< particle * > system
Definition PSO.h:141
+
PSO::vel
double vel[kMaxParticles]
Definition PSO.h:153
+
PSO::four_vector_addition
std::vector< double > four_vector_addition(std::vector< double > vec1, std::vector< double > vec2, std::vector< double > vec3, std::vector< double > vec4)
Definition PSO.h:120
+
PSO::fConvergence
double fConvergence
Definition PSO.h:145
+
PSO::CalcChi
double CalcChi(std::vector< double > x)
Definition PSO.h:127
+
PSO::fBestValue
double fBestValue
Definition PSO.h:136
+
PSO::uncertainties
std::vector< std::vector< double > > uncertainties
Definition PSO.h:148
+
PSO::ranges_min
std::vector< double > ranges_min
Definition PSO.h:140
+
PSO::par
double * par
Definition PSO.h:154
+
PSO::fDim
int fDim
Definition PSO.h:156
PSO::calc_uncertainty
std::vector< std::vector< double > > calc_uncertainty(std::vector< double >position, double minimum)
Definition PSO.cpp:222
PSO::run
void run()
Definition PSO.cpp:381
PSO::WriteOutput
void WriteOutput()
Definition PSO.cpp:427
PSO::bisection
std::vector< std::vector< double > > bisection(std::vector< double >position, double minimum, double range, double precision)
Definition PSO.cpp:144
PSO::swarmIterate
double swarmIterate()
Definition PSO.cpp:321
PSO::rastriginFunc
double rastriginFunc(const double *x)
Definition PSO.cpp:531
-
PSO::prior
std::vector< double > prior
Definition PSO.h:144
+
PSO::prior
std::vector< double > prior
Definition PSO.h:137
PSO::runMCMC
void runMCMC() override
Implementation of fitting algorithm.
Definition PSO.cpp:21
manager
The manager class is responsible for managing configurations and settings.
Definition manager.h:28
-
particle
Class particle - stores the position, velocity and personal best With functions which move particle a...
Definition PSO.h:18
-
particle::position
std::vector< double > position
Definition PSO.h:67
-
particle::particle
particle()
Definition PSO.h:22
-
particle::curr_value
double curr_value
Definition PSO.h:70
-
particle::particle
particle(std::vector< double > pos, std::vector< double > vel)
Definition PSO.h:23
-
particle::~particle
virtual ~particle()
Destructor.
Definition PSO.h:25
-
particle::get_personal_best_position
std::vector< double > get_personal_best_position()
Definition PSO.h:39
-
particle::get_personal_best_value
double get_personal_best_value()
Definition PSO.h:47
-
particle::set_personal_best_position
void set_personal_best_position(std::vector< double > new_pos)
Definition PSO.h:35
-
particle::velocity
std::vector< double > velocity
Definition PSO.h:68
-
particle::get_position
std::vector< double > get_position()
Definition PSO.h:31
-
particle::personal_best_position
std::vector< double > personal_best_position
Definition PSO.h:71
-
particle::set_personal_best_value
void set_personal_best_value(double new_val)
Definition PSO.h:43
-
particle::get_value
double get_value()
Definition PSO.h:59
-
particle::set_value
void set_value(double val)
Definition PSO.h:62
-
particle::get_velocity
std::vector< double > get_velocity()
Definition PSO.h:51
-
particle::set_velocity
void set_velocity(std::vector< double > new_velocity)
Definition PSO.h:55
-
particle::personal_best_value
double personal_best_value
Definition PSO.h:69
-
particle::set_position
void set_position(std::vector< double > new_position)
Definition PSO.h:27
+
particle
Class particle - stores the position, velocity and personal best With functions which move particle a...
Definition PSO.h:17
+
particle::position
std::vector< double > position
Definition PSO.h:64
+
particle::particle
particle()
Definition PSO.h:19
+
particle::curr_value
double curr_value
Definition PSO.h:67
+
particle::particle
particle(std::vector< double > pos, std::vector< double > vel)
Definition PSO.h:20
+
particle::~particle
virtual ~particle()
Destructor.
Definition PSO.h:22
+
particle::get_personal_best_position
std::vector< double > get_personal_best_position()
Definition PSO.h:36
+
particle::get_personal_best_value
double get_personal_best_value()
Definition PSO.h:44
+
particle::set_personal_best_position
void set_personal_best_position(std::vector< double > new_pos)
Definition PSO.h:32
+
particle::velocity
std::vector< double > velocity
Definition PSO.h:65
+
particle::get_position
std::vector< double > get_position()
Definition PSO.h:28
+
particle::personal_best_position
std::vector< double > personal_best_position
Definition PSO.h:68
+
particle::set_personal_best_value
void set_personal_best_value(double new_val)
Definition PSO.h:40
+
particle::get_value
double get_value()
Definition PSO.h:56
+
particle::set_value
void set_value(double val)
Definition PSO.h:59
+
particle::get_velocity
std::vector< double > get_velocity()
Definition PSO.h:48
+
particle::set_velocity
void set_velocity(std::vector< double > new_velocity)
Definition PSO.h:52
+
particle::personal_best_value
double personal_best_value
Definition PSO.h:66
+
particle::set_position
void set_position(std::vector< double > new_position)
Definition PSO.h:24
diff --git a/SampleSummary_8cpp_source.html b/SampleSummary_8cpp_source.html index e9eb4fe7..3e7105bd 100644 --- a/SampleSummary_8cpp_source.html +++ b/SampleSummary_8cpp_source.html @@ -2976,12 +2976,12 @@
SampleSummary::StudyKinematicCorrelations
void StudyKinematicCorrelations()
KS: Study how correlated are sample or kinematic bins.
Definition SampleSummary.cpp:1900
SampleSummary::SampleSummary
SampleSummary(const int n_Samples, const std::string &Filename, samplePDFBase *const sample, const int nSteps)
Constructor.
Definition SampleSummary.cpp:5
SampleSummary::llh_drawfluc_draw
double * llh_drawfluc_draw
Fluctuated Draw vs Draw.
Definition SampleSummary.h:256
- -
samplePDFBase::GetKinVarLabel
virtual std::string GetKinVarLabel(const int sample, const int Dimension)
Definition samplePDFBase.h:81
+
samplePDFBase
Class responsible for handling implementation of samples used in analysis, reweighting and returning ...
Definition samplePDFBase.h:28
+
samplePDFBase::GetKinVarLabel
virtual std::string GetKinVarLabel(const int sample, const int Dimension)
Definition samplePDFBase.h:82
samplePDFBase::GetSampleName
virtual std::string GetSampleName(int Sample)
Definition samplePDFBase.cpp:407
-
samplePDFBase::SetupBinning
virtual void SetupBinning(const _int_ Selection, std::vector< double > &BinningX, std::vector< double > &BinningY)
Definition samplePDFBase.h:74
+
samplePDFBase::SetupBinning
virtual void SetupBinning(const _int_ Selection, std::vector< double > &BinningX, std::vector< double > &BinningY)
Definition samplePDFBase.h:75
samplePDFBase::getTestStatLLH
double getTestStatLLH(double data, double mc)
Definition samplePDFBase.cpp:205
-
samplePDFBase::GetMaCh3Modes
MaCh3Modes * GetMaCh3Modes() const
Return pointer to MaCh3 modes.
Definition samplePDFBase.h:42
+
samplePDFBase::GetMaCh3Modes
MaCh3Modes * GetMaCh3Modes() const
Return pointer to MaCh3 modes.
Definition samplePDFBase.h:43
diff --git a/SampleSummary_8h_source.html b/SampleSummary_8h_source.html index c88928f0..5c926d62 100644 --- a/SampleSummary_8h_source.html +++ b/SampleSummary_8h_source.html @@ -436,7 +436,7 @@
SampleSummary::total_llh_datafluc_draw
double total_llh_datafluc_draw
Fluctuated Data vs Draw.
Definition SampleSummary.h:311
SampleSummary::StudyKinematicCorrelations
void StudyKinematicCorrelations()
KS: Study how correlated are sample or kinematic bins.
Definition SampleSummary.cpp:1900
SampleSummary::llh_drawfluc_draw
double * llh_drawfluc_draw
Fluctuated Draw vs Draw.
Definition SampleSummary.h:256
- +
samplePDFBase
Class responsible for handling implementation of samples used in analysis, reweighting and returning ...
Definition samplePDFBase.h:28
diff --git a/ShiftFunctors_8h_source.html b/ShiftFunctors_8h_source.html index 753dbe6a..c6165db6 100644 --- a/ShiftFunctors_8h_source.html +++ b/ShiftFunctors_8h_source.html @@ -146,7 +146,7 @@
SKEScale::Apply
void Apply()
Definition ShiftFunctors.h:26
-
fdmc_base
Definition FDMCStruct.h:5
+
fdmc_base
constructors are same for all three so put in here
Definition FDMCStruct.h:5
diff --git a/SplineMonolith_8cpp_source.html b/SplineMonolith_8cpp_source.html index 4bc25fb8..f536c473 100644 --- a/SplineMonolith_8cpp_source.html +++ b/SplineMonolith_8cpp_source.html @@ -1980,7 +1980,7 @@
SMonolith::splineParsPointer
std::vector< const double * > splineParsPointer
This holds pointer to parameter position which we later copy paste it to GPU.
Definition SplineMonolith.h:141
SMonolith::nKnots
unsigned int nKnots
Sum of all knots over all splines.
Definition SplineMonolith.h:161
SplineBase
Base class for calculating weight from spline.
Definition SplineBase.h:28
-
TF1_red
Definition SplineStructs.h:145
+
TF1_red
CW: A reduced TF1 class only. Only saves parameters for each TF1 and how many parameters each paramet...
Definition SplineStructs.h:144
TSpline3_red
CW: Reduced TSpline3 class.
Definition SplineStructs.h:260
FastSplineInfo
CW: Add a struct to hold info about the splinified xsec parameters and help with FindSplineSegment.
Definition SplineStructs.h:9
FastSplineInfo::nPts
_int_ nPts
Number of points in spline.
Definition SplineStructs.h:12
diff --git a/SplineMonolith_8h_source.html b/SplineMonolith_8h_source.html index cc74528a..8801f3ce 100644 --- a/SplineMonolith_8h_source.html +++ b/SplineMonolith_8h_source.html @@ -252,7 +252,7 @@
SMonolith::splineParsPointer
std::vector< const double * > splineParsPointer
This holds pointer to parameter position which we later copy paste it to GPU.
Definition SplineMonolith.h:141
SMonolith::nKnots
unsigned int nKnots
Sum of all knots over all splines.
Definition SplineMonolith.h:161
SplineBase
Base class for calculating weight from spline.
Definition SplineBase.h:28
-
TF1_red
Definition SplineStructs.h:145
+
TF1_red
CW: A reduced TF1 class only. Only saves parameters for each TF1 and how many parameters each paramet...
Definition SplineStructs.h:144
TSpline3_red
CW: Reduced TSpline3 class.
Definition SplineStructs.h:260
FastSplineInfo
CW: Add a struct to hold info about the splinified xsec parameters and help with FindSplineSegment.
Definition SplineStructs.h:9
diff --git a/SplineStructs_8h.html b/SplineStructs_8h.html index 7c098883..a82b0117 100644 --- a/SplineStructs_8h.html +++ b/SplineStructs_8h.html @@ -95,6 +95,7 @@  CW: Generic xsec class. Can use TF1 or TSpline3 or TSpline5 here, tjoho. More...
  class  TF1_red + CW: A reduced TF1 class only. Only saves parameters for each TF1 and how many parameters each parameter set has. More...
  class  TSpline3_red  CW: Reduced TSpline3 class. More...
@@ -205,7 +206,7 @@

MACH3LOG_ERROR
#define MACH3LOG_ERROR
Definition MaCh3Logger.h:15

GetFromManager
Type GetFromManager(const YAML::Node &node, Type defval)
Get content of config file if node is not found take default value specified.
Definition YamlHelper.h:18
MaCh3Exception
Custom exception class for MaCh3 errors.
Definition MaCh3Exception.h:10
-
covarianceBase::GetParFancyName
std::string GetParFancyName(const int i)
Get fancy name of the Parameter.
Definition covarianceBase.h:145
+
covarianceBase::GetParFancyName
std::string GetParFancyName(const int i)
Get fancy name of the Parameter.
Definition covarianceBase.h:152
covarianceXsec::GetParSplineKnotLowerBound
double GetParSplineKnotLowerBound(const int i)
EM: value at which we cap spline knot weight.
Definition covarianceXsec.h:60
covarianceXsec::GetParSplineKnotUpperBound
double GetParSplineKnotUpperBound(const int i)
EM: value at which we cap spline knot weight.
Definition covarianceXsec.h:57
diff --git a/SplineStructs_8h_source.html b/SplineStructs_8h_source.html index d7115284..2cfd84df 100644 --- a/SplineStructs_8h_source.html +++ b/SplineStructs_8h_source.html @@ -225,105 +225,105 @@
141
142// ************************
-
-
145class TF1_red {
-
146// ************************
-
147public:
-
-
149 TF1_red() {
-
150 length = 0;
-
151 Par = NULL;
-
152 }
-
-
153
-
-
155 ~TF1_red() {
-
156 if (Par != NULL) {
-
157 delete[] Par;
-
158 Par = NULL;
-
159 }
-
160 }
-
-
161
-
-
163 TF1_red(_int_ nSize, _float_* Array, _int_ Parameter) {
-
164 length = nSize;
-
165 for (int i = 0; i < length; ++i) {
-
166 Par[i] = Array[i];
-
167 }
-
168 ParamNo = Parameter;
-
169 }
-
-
170
-
-
172 TF1_red(TF1* &Function, int Param = -1) {
-
173 Par = NULL;
-
174 SetFunc(Function, Param);
-
175 }
-
-
176
-
-
178 inline std::string GetName() {
-
179 std::stringstream ss;
-
180 ss << ParamNo;
-
181 return ss.str();
-
182 }
-
-
183
-
-
185 inline void SetFunc(TF1* &Func, int Param = -1) {
-
186 length = Func->GetNpar();
-
187 if (Par != NULL) delete[] Par;
-
188 Par = new _float_[length];
-
189 for (int i = 0; i < length; ++i) {
-
190 Par[i] = Func->GetParameter(i);
-
191 }
-
192 ParamNo = Param;
-
193 delete Func;
-
194 Func = NULL;
-
195 }
-
-
196
-
-
198 inline double Eval(_float_ var) {
-
200 if (length == 5) {
-
201 return 1+Par[0]*var+Par[1]*var*var+Par[2]*var*var*var+Par[3]*var*var*var*var+Par[4]*var*var*var*var*var;
-
203 } else if (length == 2) {
-
204 return (var<=0)*(1+Par[0]*var)+(var>0)*(1+Par[1]*var);
-
205 } else {
-
206 std::cerr << "*** Error in reduced TF1 class!" << std::endl;
-
207 std::cerr << " Class only knows about 5th order polynomial and two superposed linear function" << std::endl;
-
208 std::cerr << " You have tried something else than this, which remains unimplemented" << std::endl;
-
209 std::cerr << __FILE__ << ":" << __LINE__ << std::endl;
-
210 throw;
-
211 }
-
212 }
-
-
213
-
-
215 inline void SetParameter(_int_ Parameter, _float_ Value) {
-
216 Par[Parameter] = Value;
-
217 }
-
-
218
-
-
220 double GetParameter(_int_ Parameter) {
-
221 if (Parameter > length) {
-
222 std::cerr << "Error: you requested parameter number " << Parameter << " but length is " << length << " parameters" << std::endl;
-
223 throw;
-
224 return -999.999;
-
225 }
-
226 return Par[Parameter];
-
227 }
-
-
228
-
-
230 inline void SetSize(_int_ nSpline) {
-
231 length = nSpline;
-
232 Par = new _float_[length];
-
233 }
-
-
235 inline int GetSize() { return length; }
+
+
144class TF1_red {
+
145// ************************
+
146public:
+
+
148 TF1_red() {
+
149 length = 0;
+
150 Par = NULL;
+
151 }
+
+
152
+
+
154 ~TF1_red() {
+
155 if (Par != NULL) {
+
156 delete[] Par;
+
157 Par = NULL;
+
158 }
+
159 }
+
+
160
+
+
162 TF1_red(_int_ nSize, _float_* Array, _int_ Parameter) {
+
163 length = nSize;
+
164 for (int i = 0; i < length; ++i) {
+
165 Par[i] = Array[i];
+
166 }
+
167 ParamNo = Parameter;
+
168 }
+
+
169
+
+
171 TF1_red(TF1* &Function, int Param = -1) {
+
172 Par = NULL;
+
173 SetFunc(Function, Param);
+
174 }
+
+
175
+
+
177 inline std::string GetName() {
+
178 std::stringstream ss;
+
179 ss << ParamNo;
+
180 return ss.str();
+
181 }
+
+
182
+
+
184 inline void SetFunc(TF1* &Func, int Param = -1) {
+
185 length = Func->GetNpar();
+
186 if (Par != NULL) delete[] Par;
+
187 Par = new _float_[length];
+
188 for (int i = 0; i < length; ++i) {
+
189 Par[i] = Func->GetParameter(i);
+
190 }
+
191 ParamNo = Param;
+
192 delete Func;
+
193 Func = NULL;
+
194 }
+
+
195
+
+
197 inline double Eval(_float_ var) {
+
199 if (length == 5) {
+
200 return 1+Par[0]*var+Par[1]*var*var+Par[2]*var*var*var+Par[3]*var*var*var*var+Par[4]*var*var*var*var*var;
+
202 } else if (length == 2) {
+
203 return (var<=0)*(1+Par[0]*var)+(var>0)*(1+Par[1]*var);
+
204 } else {
+
205 std::cerr << "*** Error in reduced TF1 class!" << std::endl;
+
206 std::cerr << " Class only knows about 5th order polynomial and two superposed linear function" << std::endl;
+
207 std::cerr << " You have tried something else than this, which remains unimplemented" << std::endl;
+
208 std::cerr << __FILE__ << ":" << __LINE__ << std::endl;
+
209 throw;
+
210 }
+
211 }
+
+
212
+
+
214 inline void SetParameter(_int_ Parameter, _float_ Value) {
+
215 Par[Parameter] = Value;
+
216 }
+
+
217
+
+
219 double GetParameter(_int_ Parameter) {
+
220 if (Parameter > length) {
+
221 std::cerr << "Error: you requested parameter number " << Parameter << " but length is " << length << " parameters" << std::endl;
+
222 throw;
+
223 return -999.999;
+
224 }
+
225 return Par[Parameter];
+
226 }
+
+
227
+
+
229 inline void SetSize(_int_ nSpline) {
+
230 length = nSpline;
+
231 Par = new _float_[length];
+
232 }
+
+
234 inline int GetSize() { return length; }
236 inline void Print() {
237 std::cout << "Printing TF1_red: " << std::endl;
@@ -865,27 +865,27 @@
kAkima
@ kAkima
Definition Structs.h:115
GetFromManager
Type GetFromManager(const YAML::Node &node, Type defval)
Get content of config file if node is not found take default value specified.
Definition YamlHelper.h:18
MaCh3Exception
Custom exception class for MaCh3 errors.
Definition MaCh3Exception.h:10
-
TF1_red
Definition SplineStructs.h:145
-
TF1_red::~TF1_red
~TF1_red()
Empty destructor.
Definition SplineStructs.h:155
+
TF1_red
CW: A reduced TF1 class only. Only saves parameters for each TF1 and how many parameters each paramet...
Definition SplineStructs.h:144
+
TF1_red::~TF1_red
~TF1_red()
Empty destructor.
Definition SplineStructs.h:154
TF1_red::Par
_float_ * Par
The parameters.
Definition SplineStructs.h:251
-
TF1_red::TF1_red
TF1_red()
Empty constructor.
Definition SplineStructs.h:149
-
TF1_red::Print
void Print()
Definition SplineStructs.h:236
-
TF1_red::Eval
double Eval(_float_ var)
Evaluate a variation.
Definition SplineStructs.h:198
+
TF1_red::TF1_red
TF1_red()
Empty constructor.
Definition SplineStructs.h:148
+
TF1_red::Print
void Print()
Print detailed info.
Definition SplineStructs.h:236
+
TF1_red::Eval
double Eval(_float_ var)
Evaluate a variation.
Definition SplineStructs.h:197
TF1_red::length
_int_ length
Definition SplineStructs.h:252
-
TF1_red::GetName
std::string GetName()
Get the number.
Definition SplineStructs.h:178
-
TF1_red::TF1_red
TF1_red(_int_ nSize, _float_ *Array, _int_ Parameter)
The useful constructor with deep copy.
Definition SplineStructs.h:163
-
TF1_red::SetFunc
void SetFunc(TF1 *&Func, int Param=-1)
Set the function.
Definition SplineStructs.h:185
+
TF1_red::GetName
std::string GetName()
Get the number.
Definition SplineStructs.h:177
+
TF1_red::TF1_red
TF1_red(_int_ nSize, _float_ *Array, _int_ Parameter)
The useful constructor with deep copy.
Definition SplineStructs.h:162
+
TF1_red::SetFunc
void SetFunc(TF1 *&Func, int Param=-1)
Set the function.
Definition SplineStructs.h:184
TF1_red::ParamNo
_int_ ParamNo
Save the parameter number this spline applies to.
Definition SplineStructs.h:254
-
TF1_red::GetParameter
double GetParameter(_int_ Parameter)
Get a parameter value.
Definition SplineStructs.h:220
-
TF1_red::SetParameter
void SetParameter(_int_ Parameter, _float_ Value)
Set a parameter to a value.
Definition SplineStructs.h:215
-
TF1_red::TF1_red
TF1_red(TF1 *&Function, int Param=-1)
The TF1 constructor with deep copy.
Definition SplineStructs.h:172
-
TF1_red::SetSize
void SetSize(_int_ nSpline)
Set the size.
Definition SplineStructs.h:230
-
TF1_red::GetSize
int GetSize()
Get the size.
Definition SplineStructs.h:235
+
TF1_red::GetParameter
double GetParameter(_int_ Parameter)
Get a parameter value.
Definition SplineStructs.h:219
+
TF1_red::SetParameter
void SetParameter(_int_ Parameter, _float_ Value)
Set a parameter to a value.
Definition SplineStructs.h:214
+
TF1_red::TF1_red
TF1_red(TF1 *&Function, int Param=-1)
The TF1 constructor with deep copy.
Definition SplineStructs.h:171
+
TF1_red::SetSize
void SetSize(_int_ nSpline)
Set the size.
Definition SplineStructs.h:229
+
TF1_red::GetSize
int GetSize()
Get the size.
Definition SplineStructs.h:234
TSpline3_red
CW: Reduced TSpline3 class.
Definition SplineStructs.h:260
TSpline3_red::nPoints
_int_ nPoints
Number of points/knot in TSpline3.
Definition SplineStructs.h:654
TSpline3_red::~TSpline3_red
~TSpline3_red()
Empty destructor.
Definition SplineStructs.h:567
TSpline3_red::YResp
_float_ * YResp
y-value for each knot
Definition SplineStructs.h:660
-
TSpline3_red::FindX
int FindX(double x)
Definition SplineStructs.h:582
+
TSpline3_red::FindX
int FindX(double x)
Find the segment relevant to this variation in x See root/hist/hist/src/TSpline3FindX(double) or samp...
Definition SplineStructs.h:582
TSpline3_red::TSpline3_red
TSpline3_red(TSpline3 *&spline, int Param=-1, SplineInterpolation InterPolation=kTSpline3)
The constructor that takes a TSpline3 pointer and copies in to memory.
Definition SplineStructs.h:272
TSpline3_red::Par
_float_ ** Par
Always uses a third order polynomial, so hard-code the number of coefficients in implementation.
Definition SplineStructs.h:656
TSpline3_red::TSpline3_red
TSpline3_red(_float_ *X, _float_ *Y, _int_ N, _float_ **P, _int_ parNo)
constructor taking parameters
Definition SplineStructs.h:280
@@ -899,7 +899,7 @@
TSpline3_red::ParamNo
_int_ ParamNo
Parameter number (which parameter is this spline for)
Definition SplineStructs.h:662
TSpline3_red::XPos
_float_ * XPos
Positions of each x for each knot.
Definition SplineStructs.h:658
Truncated_Spline
CW: Truncated spline class.
Definition SplineStructs.h:667
-
Truncated_Spline::FindX
int FindX(double x)
Definition SplineStructs.h:690
+
Truncated_Spline::FindX
int FindX(double x)
Find the segment relevant to this variation in x See root/hist/hist/src/TSpline3FindX(double) or samp...
Definition SplineStructs.h:690
Truncated_Spline::~Truncated_Spline
~Truncated_Spline()
Empty destructor.
Definition SplineStructs.h:684
Truncated_Spline::Truncated_Spline
Truncated_Spline(TSpline3 *&spline, int Param=-1)
The constructor that takes a TSpline3 pointer and copies in to memory.
Definition SplineStructs.h:678
Truncated_Spline::Truncated_Spline
Truncated_Spline()
Empty constructor.
Definition SplineStructs.h:672
@@ -916,7 +916,7 @@
XSecStruct::Func
T * Func
The function.
Definition SplineStructs.h:87
XSecStruct::Eval
double Eval(const _int_ nSpline, const _float_ variation)
CW: Eval the current variation.
Definition SplineStructs.h:75
XSecStruct::~XSecStruct
~XSecStruct()
CW: The light destructor.
Definition SplineStructs.h:46
-
covarianceBase::GetParFancyName
std::string GetParFancyName(const int i)
Get fancy name of the Parameter.
Definition covarianceBase.h:145
+
covarianceBase::GetParFancyName
std::string GetParFancyName(const int i)
Get fancy name of the Parameter.
Definition covarianceBase.h:152
covarianceXsec
Class responsible for handling of systematic error parameters with different types defined in the con...
Definition covarianceXsec.h:15
covarianceXsec::GetParSplineKnotLowerBound
double GetParSplineKnotLowerBound(const int i)
EM: value at which we cap spline knot weight.
Definition covarianceXsec.h:60
covarianceXsec::GetParSplineKnotUpperBound
double GetParSplineKnotUpperBound(const int i)
EM: value at which we cap spline knot weight.
Definition covarianceXsec.h:57
diff --git a/Structs_8cpp.html b/Structs_8cpp.html index d20ab910..4f330979 100644 --- a/Structs_8cpp.html +++ b/Structs_8cpp.html @@ -96,6 +96,7 @@

Functions

double MaCh3Utils::GetMassFromPDG (int PDG) + Return mass for given PDG.
  std::unordered_map< int, int > MaCh3Utils::KnownDetIDsMap ({ {0, 1}, {1, 8}, {2, 16}, {3, 32}, {4, 64}, {5, 128}, {6, 256}, {7, 512}, })   @@ -931,7 +932,7 @@

453 double momentumThreshold = mass/sqrt(refractiveIndex*refractiveIndex-1.);

454 return momentumThreshold;
455}
-
MaCh3Utils::GetMassFromPDG
double GetMassFromPDG(int PDG)
Definition Structs.cpp:11
+
MaCh3Utils::GetMassFromPDG
double GetMassFromPDG(int PDG)
Return mass for given PDG.
Definition Structs.cpp:11
diff --git a/Structs_8cpp_source.html b/Structs_8cpp_source.html index 5ac694e7..da2b9b80 100644 --- a/Structs_8cpp_source.html +++ b/Structs_8cpp_source.html @@ -629,7 +629,7 @@
GetFromManager
Type GetFromManager(const YAML::Node &node, Type defval)
Get content of config file if node is not found take default value specified.
Definition YamlHelper.h:18
MaCh3Utils::nKnownDetIDs
int nKnownDetIDs
Definition Structs.cpp:90
-
MaCh3Utils::GetMassFromPDG
double GetMassFromPDG(int PDG)
Definition Structs.cpp:11
+
MaCh3Utils::GetMassFromPDG
double GetMassFromPDG(int PDG)
Return mass for given PDG.
Definition Structs.cpp:11
MaCh3Utils::KnownDetIDsMap
std::unordered_map< int, int > KnownDetIDsMap
diff --git a/Structs_8h.html b/Structs_8h.html index 4acc26a3..631bc45f 100644 --- a/Structs_8h.html +++ b/Structs_8h.html @@ -105,6 +105,7 @@

Classes

struct  XsecNorms4 + ETA - Normalisations for cross-section parameters Carrier for whether you want to apply a systematic to an event or not. More...
  + @@ -1774,7 +1776,7 @@

453 double momentumThreshold = mass/sqrt(refractiveIndex*refractiveIndex-1.);
454 return momentumThreshold;
455}
-
MaCh3Utils::GetMassFromPDG
double GetMassFromPDG(int PDG)
Definition Structs.cpp:11
+
MaCh3Utils::GetMassFromPDG
double GetMassFromPDG(int PDG)
Return mass for given PDG.
Definition Structs.cpp:11
diff --git a/Structs_8h_source.html b/Structs_8h_source.html index 627e302f..02cc22f1 100644 --- a/Structs_8h_source.html +++ b/Structs_8h_source.html @@ -254,7 +254,6 @@
184 // ***************************
185
186 // ***************************
-
187 // Return mass for given PDG
188 double GetMassFromPDG(int PDG);
189 // ***************************
190
@@ -647,9 +646,9 @@
GetFromManager
Type GetFromManager(const YAML::Node &node, Type defval)
Get content of config file if node is not found take default value specified.
Definition YamlHelper.h:18
MaCh3Utils::nKnownDetIDs
int nKnownDetIDs
Definition Structs.cpp:90
-
MaCh3Utils::GetMassFromPDG
double GetMassFromPDG(int PDG)
Definition Structs.cpp:11
+
MaCh3Utils::GetMassFromPDG
double GetMassFromPDG(int PDG)
Return mass for given PDG.
Definition Structs.cpp:11
MaCh3Utils::KnownDetIDsMap
std::unordered_map< int, int > KnownDetIDsMap
- +
XsecNorms4
ETA - Normalisations for cross-section parameters Carrier for whether you want to apply a systematic ...
Definition Structs.h:80
XsecNorms4::targets
std::vector< int > targets
Targets which parameter applies to.
Definition Structs.h:93
XsecNorms4::Selection
std::vector< std::vector< double > > Selection
Definition Structs.h:98
XsecNorms4::KinematicVarStr
std::vector< std::string > KinematicVarStr
Definition Structs.h:104
diff --git a/ThrowParms_8cpp_source.html b/ThrowParms_8cpp_source.html index 7135db65..d784fd0f 100644 --- a/ThrowParms_8cpp_source.html +++ b/ThrowParms_8cpp_source.html @@ -199,15 +199,15 @@
104
GetFromManager
Type GetFromManager(const YAML::Node &node, Type defval)
Get content of config file if node is not found take default value specified.
Definition YamlHelper.h:18
- +
ThrowParms::ThrowSet
void ThrowSet(std::vector< double > &parms)
Definition ThrowParms.cpp:38
-
ThrowParms::pvals
TVectorD * pvals
Definition ThrowParms.h:19
-
ThrowParms::rand
TRandom3 rand
Definition ThrowParms.h:23
-
ThrowParms::chel_dec
TMatrixD * chel_dec
Definition ThrowParms.h:21
+
ThrowParms::pvals
TVectorD * pvals
Definition ThrowParms.h:21
+
ThrowParms::rand
TRandom3 rand
Definition ThrowParms.h:25
+
ThrowParms::chel_dec
TMatrixD * chel_dec
Definition ThrowParms.h:23
ThrowParms::ThrowParms
ThrowParms(TVectorD &parms, TMatrixDSym &covm)
Definition ThrowParms.cpp:7
ThrowParms::CheloskyDecomp
void CheloskyDecomp(TMatrixD &chel_mat)
Definition ThrowParms.cpp:80
-
ThrowParms::covar
TMatrixDSym * covar
Definition ThrowParms.h:20
+
ThrowParms::covar
TMatrixDSym * covar
Definition ThrowParms.h:22
ThrowParms::StdNormRand
void StdNormRand(double *z)
Definition ThrowParms.cpp:62
diff --git a/ThrowParms_8h.html b/ThrowParms_8h.html index 6b581472..ca78af6f 100644 --- a/ThrowParms_8h.html +++ b/ThrowParms_8h.html @@ -98,6 +98,7 @@

+

@@ -241,6 +242,7 @@

 Convert a Syst type type to a string.
 
double MaCh3Utils::GetMassFromPDG (int PDG)
 Return mass for given PDG.
 
std::string TargetMat_ToString (const TargetMat i)
 Converted the Target Mat to a string.

Classes

class  ThrowParms
 No idea really... More...
 
diff --git a/ThrowParms_8h_source.html b/ThrowParms_8h_source.html index 6af5f08a..208367c2 100644 --- a/ThrowParms_8h_source.html +++ b/ThrowParms_8h_source.html @@ -99,40 +99,40 @@
14#include <TVectorT.h>
15#include <TDecompChol.h>
16
-
-
17class ThrowParms {
-
18 private:
-
19 TVectorD *pvals;
-
20 TMatrixDSym *covar;
-
21 TMatrixD *chel_dec;
-
22 int npars;
-
23 TRandom3 rand;
-
24
-
25 void CheloskyDecomp(TMatrixD &chel_mat);
-
26 void StdNormRand(double *z);
-
27
-
28 public:
-
29 ThrowParms(TVectorD &parms, TMatrixDSym &covm);
-
30 ~ThrowParms();
-
31
-
32 void SetSeed (int seed = 0) {rand.SetSeed(seed);};
-
33 int GetSize() {return npars;};
-
34 void ThrowSet(std::vector<double> &parms);
-
35
-
36};
+
+
19class ThrowParms {
+
20 private:
+
21 TVectorD *pvals;
+
22 TMatrixDSym *covar;
+
23 TMatrixD *chel_dec;
+
24 int npars;
+
25 TRandom3 rand;
+
26
+
27 void CheloskyDecomp(TMatrixD &chel_mat);
+
28 void StdNormRand(double *z);
+
29
+
30 public:
+
31 ThrowParms(TVectorD &parms, TMatrixDSym &covm);
+
32 ~ThrowParms();
+
33
+
34 void SetSeed (int seed = 0) {rand.SetSeed(seed);};
+
35 int GetSize() {return npars;};
+
36 void ThrowSet(std::vector<double> &parms);
+
37
+
38};
GetFromManager
Type GetFromManager(const YAML::Node &node, Type defval)
Get content of config file if node is not found take default value specified.
Definition YamlHelper.h:18
- - -
ThrowParms::GetSize
int GetSize()
Definition ThrowParms.h:33
-
ThrowParms::SetSeed
void SetSeed(int seed=0)
Definition ThrowParms.h:32
+
ThrowParms
No idea really...
Definition ThrowParms.h:19
+ +
ThrowParms::GetSize
int GetSize()
Definition ThrowParms.h:35
+
ThrowParms::SetSeed
void SetSeed(int seed=0)
Definition ThrowParms.h:34
ThrowParms::ThrowSet
void ThrowSet(std::vector< double > &parms)
Definition ThrowParms.cpp:38
-
ThrowParms::pvals
TVectorD * pvals
Definition ThrowParms.h:19
-
ThrowParms::rand
TRandom3 rand
Definition ThrowParms.h:23
-
ThrowParms::chel_dec
TMatrixD * chel_dec
Definition ThrowParms.h:21
+
ThrowParms::pvals
TVectorD * pvals
Definition ThrowParms.h:21
+
ThrowParms::rand
TRandom3 rand
Definition ThrowParms.h:25
+
ThrowParms::chel_dec
TMatrixD * chel_dec
Definition ThrowParms.h:23
ThrowParms::CheloskyDecomp
void CheloskyDecomp(TMatrixD &chel_mat)
Definition ThrowParms.cpp:80
-
ThrowParms::covar
TMatrixDSym * covar
Definition ThrowParms.h:20
+
ThrowParms::covar
TMatrixDSym * covar
Definition ThrowParms.h:22
ThrowParms::StdNormRand
void StdNormRand(double *z)
Definition ThrowParms.cpp:62
diff --git a/annotated.html b/annotated.html index 1f58a9cb..7349c3ff 100644 --- a/annotated.html +++ b/annotated.html @@ -84,7 +84,7 @@  CcovarianceXsecClass responsible for handling of systematic error parameters with different types defined in the config. Like spline, normalisation parameters etc  CEnergyScale  CFastSplineInfoCW: Add a struct to hold info about the splinified xsec parameters and help with FindSplineSegment - Cfdmc_base + Cfdmc_baseConstructors are same for all three so put in here  CFitterBaseBase class for implementing fitting algorithms  CLikelihoodFitImplementation of base Likelihood Fit class, it is mostly responsible for likelihood calculation while actual use depend on classes which inherits  CMaCh3ExceptionCustom exception class for MaCh3 errors @@ -97,18 +97,18 @@  COscillator  CparticleClass particle - stores the position, velocity and personal best With functions which move particle and update velocity  CPSOClass PSO, consist of a vector of object Class Particle and global best Takes in the size (number of particle) and number of iteration functions includes: finding global best, updating velocity, actual minimisation function - CsamplePDFBase + CsamplePDFBaseClass responsible for handling implementation of samples used in analysis, reweighting and returning LLH  CsamplePDFFDBase  CSampleSummaryClass to calculate pvalue produce posterior predictive and many fancy Bayesian stuff  CSKEScale  CSMonolithEven-by-event class calculating response for spline parameters. It is possible to use GPU acceleration  CSplineBaseBase class for calculating weight from spline  CsplineFDBaseBin-by-bin class calculating response for spline parameters - CTF1_red - CThrowParms + CTF1_redCW: A reduced TF1 class only. Only saves parameters for each TF1 and how many parameters each parameter set has + CThrowParmsNo idea really..  CTruncated_SplineCW: Truncated spline class  CTSpline3_redCW: Reduced TSpline3 class - CXsecNorms4 + CXsecNorms4ETA - Normalisations for cross-section parameters Carrier for whether you want to apply a systematic to an event or not  CXSecStructCW: Generic xsec class. Can use TF1 or TSpline3 or TSpline5 here, tjoho diff --git a/classFitterBase.html b/classFitterBase.html index ff9b25d3..cd217557 100644 --- a/classFitterBase.html +++ b/classFitterBase.html @@ -571,7 +571,7 @@

Parameters
- +
sampleA pointer to a sample PDF object derived from samplePDFBase.
sampleA pointer to a sample PDF object derived from samplePDFBase.
diff --git a/classPSO.html b/classPSO.html index f9c647e5..538e1269 100644 --- a/classPSO.html +++ b/classPSO.html @@ -358,7 +358,7 @@

Detailed Description

Class PSO, consist of a vector of object Class Particle and global best Takes in the size (number of particle) and number of iteration functions includes: finding global best, updating velocity, actual minimisation function.

-

Definition at line 80 of file PSO.h.

+

Definition at line 74 of file PSO.h.

Constructor & Destructor Documentation

◆ PSO()

@@ -400,14 +400,14 @@

FitterBase::fitMan
manager * fitMan
The manager.
Definition FitterBase.h:92
FitterBase::fTestLikelihood
bool fTestLikelihood
Necessary for some fitting algorithms like PSO.
Definition FitterBase.h:149
LikelihoodFit
Implementation of base Likelihood Fit class, it is mostly responsible for likelihood calculation whil...
Definition LikelihoodFit.h:6
-
PSO::fConstriction
double fConstriction
Definition PSO.h:154
-
PSO::fTwo
double fTwo
Definition PSO.h:151
-
PSO::fInertia
double fInertia
Definition PSO.h:149
-
PSO::fParticles
int fParticles
Definition PSO.h:157
-
PSO::fOne
double fOne
Definition PSO.h:150
-
PSO::fIterations
int fIterations
Definition PSO.h:153
-
PSO::fConvergence
double fConvergence
Definition PSO.h:152
-
PSO::fDim
int fDim
Definition PSO.h:163
+
PSO::fConstriction
double fConstriction
Definition PSO.h:147
+
PSO::fTwo
double fTwo
Definition PSO.h:144
+
PSO::fInertia
double fInertia
Definition PSO.h:142
+
PSO::fParticles
int fParticles
Definition PSO.h:150
+
PSO::fOne
double fOne
Definition PSO.h:143
+
PSO::fIterations
int fIterations
Definition PSO.h:146
+
PSO::fConvergence
double fConvergence
Definition PSO.h:145
+
PSO::fDim
int fDim
Definition PSO.h:156
manager::raw
YAML::Node const & raw()
Return config.
Definition manager.h:48
@@ -437,8 +437,8 @@

Definition at line 86 of file PSO.h.

-
86{};
+

Definition at line 79 of file PSO.h.

+
79{};
@@ -559,7 +559,7 @@

218 }
219 return uncertainties_list;
220}
-
PSO::CalcChi
double CalcChi(std::vector< double > x)
Definition PSO.h:134
+
PSO::CalcChi
double CalcChi(std::vector< double > x)
Definition PSO.h:127
@@ -679,11 +679,11 @@

-

Definition at line 134 of file PSO.h.

-
134 {
-
135 double* a = &x[0];
-
136 return CalcChi2(a);
-
137 };
+

Definition at line 127 of file PSO.h.

+
127 {
+
128 double* a = &x[0];
+
129 return CalcChi2(a);
+
130 };
PSO::CalcChi2
double CalcChi2(const double *x)
Chi2 calculation over all included samples and syst objects.
Definition PSO.cpp:516
@@ -780,13 +780,13 @@

-

Definition at line 127 of file PSO.h.

-
127 {
-
128 for (size_t i = 0; i < vec1.size(); ++i) {
-
129 vec1[i] += vec2[i] + vec3[i] + vec4[i];
-
130 }
-
131 return vec1;
-
132 };
+

Definition at line 120 of file PSO.h.

+
120 {
+
121 for (size_t i = 0; i < vec1.size(); ++i) {
+
122 vec1[i] += vec2[i] + vec3[i] + vec4[i];
+
123 }
+
124 return vec1;
+
125 };
@@ -813,11 +813,11 @@

-

Definition at line 88 of file PSO.h.

-
88 {
-
89 return best_particle;
-
90 }
-
PSO::best_particle
particle * best_particle
Definition PSO.h:142
+

Definition at line 81 of file PSO.h.

+
81 {
+
82 return best_particle;
+
83 }
+
PSO::best_particle
particle * best_particle
Definition PSO.h:135
@@ -848,8 +848,8 @@

LikelihoodFit.

-

Definition at line 139 of file PSO.h.

-
139{return "PSO";};
+

Definition at line 132 of file PSO.h.

+
132{return "PSO";};
@@ -971,14 +971,14 @@

142}
FitterBase::random
TRandom3 * random
Random number.
Definition FitterBase.h:137
FitterBase::systematics
std::vector< covarianceBase * > systematics
Systematic holder.
Definition FitterBase.h:122
-
PSO::ranges_max
std::vector< double > ranges_max
Definition PSO.h:146
-
PSO::fixed
std::vector< bool > fixed
Definition PSO.h:145
-
PSO::set_best_particle
void set_best_particle(particle *n)
Definition PSO.h:91
-
PSO::system
std::vector< particle * > system
Definition PSO.h:148
-
PSO::fBestValue
double fBestValue
Definition PSO.h:143
-
PSO::ranges_min
std::vector< double > ranges_min
Definition PSO.h:147
-
PSO::prior
std::vector< double > prior
Definition PSO.h:144
-
particle
Class particle - stores the position, velocity and personal best With functions which move particle a...
Definition PSO.h:18
+
PSO::ranges_max
std::vector< double > ranges_max
Definition PSO.h:139
+
PSO::fixed
std::vector< bool > fixed
Definition PSO.h:138
+
PSO::set_best_particle
void set_best_particle(particle *n)
Definition PSO.h:84
+
PSO::system
std::vector< particle * > system
Definition PSO.h:141
+
PSO::fBestValue
double fBestValue
Definition PSO.h:136
+
PSO::ranges_min
std::vector< double > ranges_min
Definition PSO.h:140
+
PSO::prior
std::vector< double > prior
Definition PSO.h:137
+
particle
Class particle - stores the position, velocity and personal best With functions which move particle a...
Definition PSO.h:17
@@ -1091,12 +1091,12 @@

FitterBase::logLCurr
double logLCurr
current likelihood
Definition FitterBase.h:100
FitterBase::auto_save
int auto_save
auto save every N steps
Definition FitterBase.h:146
FitterBase::outTree
TTree * outTree
Output tree with posteriors.
Definition FitterBase.h:144
-
PSO::get_best_particle
particle * get_best_particle()
Definition PSO.h:88
-
PSO::uncertainties
std::vector< std::vector< double > > uncertainties
Definition PSO.h:155
+
PSO::get_best_particle
particle * get_best_particle()
Definition PSO.h:81
+
PSO::uncertainties
std::vector< std::vector< double > > uncertainties
Definition PSO.h:148
PSO::bisection
std::vector< std::vector< double > > bisection(std::vector< double >position, double minimum, double range, double precision)
Definition PSO.cpp:144
PSO::swarmIterate
double swarmIterate()
Definition PSO.cpp:321
-
particle::get_personal_best_position
std::vector< double > get_personal_best_position()
Definition PSO.h:39
-
particle::get_personal_best_value
double get_personal_best_value()
Definition PSO.h:47
+
particle::get_personal_best_position
std::vector< double > get_personal_best_position()
Definition PSO.h:36
+
particle::get_personal_best_value
double get_personal_best_value()
Definition PSO.h:44
@@ -1150,9 +1150,9 @@

40}
LikelihoodFit::PrepareFit
void PrepareFit()
prepare output and perform sanity checks
Definition LikelihoodFit.cpp:21
PSO::init
void init()
Definition PSO.cpp:43
-
PSO::paramlist
std::vector< double * > paramlist
Definition PSO.h:159
-
PSO::vel
double vel[kMaxParticles]
Definition PSO.h:160
-
PSO::par
double * par
Definition PSO.h:161
+
PSO::paramlist
std::vector< double * > paramlist
Definition PSO.h:152
+
PSO::vel
double vel[kMaxParticles]
Definition PSO.h:153
+
PSO::par
double * par
Definition PSO.h:154
PSO::run
void run()
Definition PSO.cpp:381
PSO::WriteOutput
void WriteOutput()
Definition PSO.cpp:427
@@ -1182,10 +1182,10 @@

-

Definition at line 91 of file PSO.h.

-
91 {
-
92 best_particle = n;
-
93 }
+

Definition at line 84 of file PSO.h.

+
84 {
+
85 best_particle = n;
+
86 }
@@ -1264,10 +1264,10 @@

377
378 return mean_dist_sq;
379}
-
PSO::vector_add
std::vector< double > vector_add(std::vector< double > v1, std::vector< double > v2)
Definition PSO.h:111
-
PSO::vector_subtract
std::vector< double > vector_subtract(std::vector< double > v1, std::vector< double > v2)
Definition PSO.h:116
-
PSO::vector_multiply
std::vector< double > vector_multiply(std::vector< double > velocity, double mul)
Definition PSO.h:106
-
PSO::three_vector_addition
std::vector< double > three_vector_addition(std::vector< double > vec1, std::vector< double > vec2, std::vector< double > vec3)
Definition PSO.h:121
+
PSO::vector_add
std::vector< double > vector_add(std::vector< double > v1, std::vector< double > v2)
Definition PSO.h:104
+
PSO::vector_subtract
std::vector< double > vector_subtract(std::vector< double > v1, std::vector< double > v2)
Definition PSO.h:109
+
PSO::vector_multiply
std::vector< double > vector_multiply(std::vector< double > velocity, double mul)
Definition PSO.h:99
+
PSO::three_vector_addition
std::vector< double > three_vector_addition(std::vector< double > vec1, std::vector< double > vec2, std::vector< double > vec3)
Definition PSO.h:114
@@ -1311,13 +1311,13 @@

-

Definition at line 121 of file PSO.h.

-
121 {
-
122 for (size_t i = 0; i < vec1.size(); ++i) {
-
123 vec1[i] += vec2[i] + vec3[i];
-
124 }
-
125 return vec1;
-
126 };
+

Definition at line 114 of file PSO.h.

+
114 {
+
115 for (size_t i = 0; i < vec1.size(); ++i) {
+
116 vec1[i] += vec2[i] + vec3[i];
+
117 }
+
118 return vec1;
+
119 };
@@ -1410,12 +1410,12 @@

-

Definition at line 111 of file PSO.h.

-
111 {
-
112 std::vector<double> v3;
-
113 transform(v1.begin(), v1.end(), v2.begin(), back_inserter(v3), std::plus<double>());
-
114 return v3;
-
115 };
+

Definition at line 104 of file PSO.h.

+
104 {
+
105 std::vector<double> v3;
+
106 transform(v1.begin(), v1.end(), v2.begin(), back_inserter(v3), std::plus<double>());
+
107 return v3;
+
108 };
@@ -1453,11 +1453,11 @@

-

Definition at line 106 of file PSO.h.

-
106 {
-
107 transform(velocity.begin(),velocity.end(),velocity.begin(),std::bind1st(std::multiplies<double>(),mul));
-
108 return velocity;
-
109 };
+

Definition at line 99 of file PSO.h.

+
99 {
+
100 transform(velocity.begin(),velocity.end(),velocity.begin(),std::bind1st(std::multiplies<double>(),mul));
+
101 return velocity;
+
102 };
@@ -1495,12 +1495,12 @@

-

Definition at line 116 of file PSO.h.

-
116 {
-
117 std::vector<double> v3 ;
-
118 transform(v1.begin(), v1.end(), v2.begin(), back_inserter(v3), std::minus<double>());
-
119 return v3;
-
120 };
+

Definition at line 109 of file PSO.h.

+
109 {
+
110 std::vector<double> v3 ;
+
111 transform(v1.begin(), v1.end(), v2.begin(), back_inserter(v3), std::minus<double>());
+
112 return v3;
+
113 };
@@ -1631,7 +1631,7 @@

-

Definition at line 142 of file PSO.h.

+

Definition at line 135 of file PSO.h.

@@ -1655,7 +1655,7 @@

-

Definition at line 143 of file PSO.h.

+

Definition at line 136 of file PSO.h.

@@ -1679,7 +1679,7 @@

-

Definition at line 154 of file PSO.h.

+

Definition at line 147 of file PSO.h.

@@ -1703,7 +1703,7 @@

-

Definition at line 152 of file PSO.h.

+

Definition at line 145 of file PSO.h.

@@ -1727,7 +1727,7 @@

-

Definition at line 163 of file PSO.h.

+

Definition at line 156 of file PSO.h.

@@ -1751,7 +1751,7 @@

-

Definition at line 149 of file PSO.h.

+

Definition at line 142 of file PSO.h.

@@ -1775,7 +1775,7 @@

-

Definition at line 153 of file PSO.h.

+

Definition at line 146 of file PSO.h.

@@ -1799,7 +1799,7 @@

-

Definition at line 145 of file PSO.h.

+

Definition at line 138 of file PSO.h.

@@ -1823,7 +1823,7 @@

-

Definition at line 150 of file PSO.h.

+

Definition at line 143 of file PSO.h.

@@ -1847,7 +1847,7 @@

-

Definition at line 157 of file PSO.h.

+

Definition at line 150 of file PSO.h.

@@ -1871,7 +1871,7 @@

-

Definition at line 151 of file PSO.h.

+

Definition at line 144 of file PSO.h.

@@ -1895,7 +1895,7 @@

-

Definition at line 158 of file PSO.h.

+

Definition at line 151 of file PSO.h.

@@ -1919,7 +1919,7 @@

-

Definition at line 161 of file PSO.h.

+

Definition at line 154 of file PSO.h.

@@ -1943,7 +1943,7 @@

-

Definition at line 159 of file PSO.h.

+

Definition at line 152 of file PSO.h.

@@ -1967,7 +1967,7 @@

-

Definition at line 144 of file PSO.h.

+

Definition at line 137 of file PSO.h.

@@ -1991,7 +1991,7 @@

-

Definition at line 146 of file PSO.h.

+

Definition at line 139 of file PSO.h.

@@ -2015,7 +2015,7 @@

-

Definition at line 147 of file PSO.h.

+

Definition at line 140 of file PSO.h.

@@ -2039,7 +2039,7 @@

-

Definition at line 148 of file PSO.h.

+

Definition at line 141 of file PSO.h.

@@ -2063,7 +2063,7 @@

-

Definition at line 155 of file PSO.h.

+

Definition at line 148 of file PSO.h.

@@ -2087,7 +2087,7 @@

-

Definition at line 160 of file PSO.h.

+

Definition at line 153 of file PSO.h.

diff --git a/classSMonolith.html b/classSMonolith.html index 2102e452..9c47127c 100644 --- a/classSMonolith.html +++ b/classSMonolith.html @@ -168,16 +168,16 @@  CW: The shared initialiser from constructors of TSpline3 and TSpline3_red.
  void PrepareForGPU (std::vector< std::vector< TF1_red * > > &MasterSpline) - CW: Prepare the TF1_red objects for the GPU.
+ CW: Prepare the TF1_red objects for the GPU.
  void PrepareForGPU_TF1 () - CW: The shared initialiser from constructors of TF1 and TF1_red.
+ CW: The shared initialiser from constructors of TF1 and TF1_red.
  std::vector< std::vector< TSpline3_red * > > ReduceTSpline3 (std::vector< std::vector< TSpline3 * > > &MasterSpline)  CW: Reduced the TSpline3 to TSpline3_red.
  std::vector< std::vector< TF1_red * > > ReduceTF1 (std::vector< std::vector< TF1 * > > &MasterSpline) - CW: Reduced the TF1 to TF1_red.
+ CW: Reduced the TF1 to TF1_red.
  void getSplineCoeff_SepMany (TSpline3_red *&spl, int &nPoints, float *&xArray, float *&manyArray)  CW: This loads up coefficients into two arrays: one x array and one yabcd array.
@@ -439,7 +439,7 @@

Parameters
- +
MasterSplineVector of TF1_red pointers which we strip back
MasterSplineVector of TF1_red pointers which we strip back
@@ -1119,7 +1119,7 @@

Parameters
- +
splpointer to TF1_red that will be checked
splpointer to TF1_red that will be checked
nPointsnumber of knots
coeffsArray holding coefficients for each knot
@@ -1578,10 +1578,10 @@

-

CW: Prepare the TF1_red objects for the GPU.

+

CW: Prepare the TF1_red objects for the GPU.

Parameters
- +
MasterSplineVector of TF1_red pointers which we strip back
MasterSplineVector of TF1_red pointers which we strip back
@@ -1788,7 +1788,7 @@

SMonolith::getTF1Coeff
void getTF1Coeff(TF1_red *&spl, int &nPoints, float *&coeffs)
CW: Gets the polynomial coefficients for TF1.
Definition SplineMonolith.cpp:1428
SMonolith::ScanMasterSpline
void ScanMasterSpline(std::vector< std::vector< TSpline3_red * > > &MasterSpline, unsigned int &NEvents, int &MaxPoints, short int &numParams, int &nSplines, unsigned int &numKnots)
CW: Function to scan through the MasterSpline of TSpline3.
Definition SplineMonolith.cpp:1090
SMonolith::PrepareForGPU_TF1
void PrepareForGPU_TF1()
CW: The shared initialiser from constructors of TF1 and TF1_red.
Definition SplineMonolith.cpp:1020
-
TF1_red
Definition SplineStructs.h:145
+
TF1_red
CW: A reduced TF1 class only. Only saves parameters for each TF1 and how many parameters each paramet...
Definition SplineStructs.h:144
@@ -2085,7 +2085,7 @@

-

CW: The shared initialiser from constructors of TF1 and TF1_red.

+

CW: The shared initialiser from constructors of TF1 and TF1_red.

Definition at line 1020 of file SplineMonolith.cpp.

1020 {
@@ -2429,10 +2429,10 @@

-

CW: Reduced the TF1 to TF1_red.

+

CW: Reduced the TF1 to TF1_red.

Parameters
- +
MasterSplineVector of TF1_red pointers which we strip back
MasterSplineVector of TF1_red pointers which we strip back
@@ -2632,7 +2632,7 @@

Parameters
- + diff --git a/classSampleSummary.html b/classSampleSummary.html index fcb03879..e673b14f 100644 --- a/classSampleSummary.html +++ b/classSampleSummary.html @@ -759,8 +759,8 @@

SampleSummary::nChainSteps
unsigned int nChainSteps
Number of throws by user.
Definition SampleSummary.h:227
SampleSummary::NominalHist
TH2Poly ** NominalHist
The nominal histogram for the selection.
Definition SampleSummary.h:167
SampleSummary::llh_drawfluc_draw
double * llh_drawfluc_draw
Fluctuated Draw vs Draw.
Definition SampleSummary.h:256
-
samplePDFBase::GetKinVarLabel
virtual std::string GetKinVarLabel(const int sample, const int Dimension)
Definition samplePDFBase.h:81
-
samplePDFBase::GetMaCh3Modes
MaCh3Modes * GetMaCh3Modes() const
Return pointer to MaCh3 modes.
Definition samplePDFBase.h:42
+
samplePDFBase::GetKinVarLabel
virtual std::string GetKinVarLabel(const int sample, const int Dimension)
Definition samplePDFBase.h:82
+
samplePDFBase::GetMaCh3Modes
MaCh3Modes * GetMaCh3Modes() const
Return pointer to MaCh3 modes.
Definition samplePDFBase.h:43
@@ -1133,7 +1133,7 @@

487 }
488}
NoOverflowIntegral
double NoOverflowIntegral(TH2Poly *poly)
WP: Helper function for calculating binned Integral of TH2Poly i.e not including overflow.
Definition Structs.cpp:140
-
samplePDFBase::SetupBinning
virtual void SetupBinning(const _int_ Selection, std::vector< double > &BinningX, std::vector< double > &BinningY)
Definition samplePDFBase.h:74
+
samplePDFBase::SetupBinning
virtual void SetupBinning(const _int_ Selection, std::vector< double > &BinningX, std::vector< double > &BinningY)
Definition samplePDFBase.h:75
diff --git a/classTF1__red.html b/classTF1__red.html index ddcfe66f..bfc260e5 100644 --- a/classTF1__red.html +++ b/classTF1__red.html @@ -79,6 +79,9 @@
+

CW: A reduced TF1 class only. Only saves parameters for each TF1 and how many parameters each parameter set has. + More...

+

#include <SplineStructs.h>

MasterSplineVector of TF1_red pointers which we strip back
MasterSplineVector of TF1_red pointers which we strip back
NEventsNumber of MC events
MaxPointsMaximal number of knots per splines
numParamsTotal number of parameters
+

@@ -117,6 +120,7 @@

 Get the size.
 
void Print ()
 Print detailed info.
 

@@ -131,9 +135,9 @@

 

Detailed Description

-

CW: A reduced TF1 class only Only saves parameters for each TF1 and how many parameters each parameter set has

+

CW: A reduced TF1 class only. Only saves parameters for each TF1 and how many parameters each parameter set has.

-

Definition at line 145 of file SplineStructs.h.

+

Definition at line 144 of file SplineStructs.h.

Constructor & Destructor Documentation

◆ TF1_red() [1/3]

@@ -160,11 +164,11 @@

Definition at line 149 of file SplineStructs.h.

-
149 {
-
150 length = 0;
-
151 Par = NULL;
-
152 }
+

Definition at line 148 of file SplineStructs.h.

+
148 {
+
149 length = 0;
+
150 Par = NULL;
+
151 }
GetFromManager
Type GetFromManager(const YAML::Node &node, Type defval)
Get content of config file if node is not found take default value specified.
Definition YamlHelper.h:18
TF1_red::Par
_float_ * Par
The parameters.
Definition SplineStructs.h:251
TF1_red::length
_int_ length
Definition SplineStructs.h:252
@@ -196,13 +200,13 @@

Definition at line 155 of file SplineStructs.h.

-
155 {
-
156 if (Par != NULL) {
-
157 delete[] Par;
-
158 Par = NULL;
-
159 }
-
160 }
+

Definition at line 154 of file SplineStructs.h.

+
154 {
+
155 if (Par != NULL) {
+
156 delete[] Par;
+
157 Par = NULL;
+
158 }
+
159 }

@@ -248,14 +252,14 @@

Definition at line 163 of file SplineStructs.h.

-
163 {
-
164 length = nSize;
-
165 for (int i = 0; i < length; ++i) {
-
166 Par[i] = Array[i];
-
167 }
-
168 ParamNo = Parameter;
-
169 }
+

Definition at line 162 of file SplineStructs.h.

+
162 {
+
163 length = nSize;
+
164 for (int i = 0; i < length; ++i) {
+
165 Par[i] = Array[i];
+
166 }
+
167 ParamNo = Parameter;
+
168 }
TF1_red::ParamNo
_int_ ParamNo
Save the parameter number this spline applies to.
Definition SplineStructs.h:254
@@ -296,12 +300,12 @@

Definition at line 172 of file SplineStructs.h.

-
172 {
-
173 Par = NULL;
-
174 SetFunc(Function, Param);
-
175 }
-
TF1_red::SetFunc
void SetFunc(TF1 *&Func, int Param=-1)
Set the function.
Definition SplineStructs.h:185
+

Definition at line 171 of file SplineStructs.h.

+
171 {
+
172 Par = NULL;
+
173 SetFunc(Function, Param);
+
174 }
+
TF1_red::SetFunc
void SetFunc(TF1 *&Func, int Param=-1)
Set the function.
Definition SplineStructs.h:184

@@ -334,20 +338,20 @@

Definition at line 198 of file SplineStructs.h.

-
198 {
-
200 if (length == 5) {
-
201 return 1+Par[0]*var+Par[1]*var*var+Par[2]*var*var*var+Par[3]*var*var*var*var+Par[4]*var*var*var*var*var;
-
203 } else if (length == 2) {
-
204 return (var<=0)*(1+Par[0]*var)+(var>0)*(1+Par[1]*var);
-
205 } else {
-
206 std::cerr << "*** Error in reduced TF1 class!" << std::endl;
-
207 std::cerr << " Class only knows about 5th order polynomial and two superposed linear function" << std::endl;
-
208 std::cerr << " You have tried something else than this, which remains unimplemented" << std::endl;
-
209 std::cerr << __FILE__ << ":" << __LINE__ << std::endl;
-
210 throw;
-
211 }
-
212 }
+

Definition at line 197 of file SplineStructs.h.

+
197 {
+
199 if (length == 5) {
+
200 return 1+Par[0]*var+Par[1]*var*var+Par[2]*var*var*var+Par[3]*var*var*var*var+Par[4]*var*var*var*var*var;
+
202 } else if (length == 2) {
+
203 return (var<=0)*(1+Par[0]*var)+(var>0)*(1+Par[1]*var);
+
204 } else {
+
205 std::cerr << "*** Error in reduced TF1 class!" << std::endl;
+
206 std::cerr << " Class only knows about 5th order polynomial and two superposed linear function" << std::endl;
+
207 std::cerr << " You have tried something else than this, which remains unimplemented" << std::endl;
+
208 std::cerr << __FILE__ << ":" << __LINE__ << std::endl;
+
209 throw;
+
210 }
+
211 }

@@ -376,12 +380,12 @@

Definition at line 178 of file SplineStructs.h.

-
178 {
-
179 std::stringstream ss;
-
180 ss << ParamNo;
-
181 return ss.str();
-
182 }
+

Definition at line 177 of file SplineStructs.h.

+
177 {
+
178 std::stringstream ss;
+
179 ss << ParamNo;
+
180 return ss.str();
+
181 }

@@ -411,15 +415,15 @@

Definition at line 220 of file SplineStructs.h.

-
220 {
-
221 if (Parameter > length) {
-
222 std::cerr << "Error: you requested parameter number " << Parameter << " but length is " << length << " parameters" << std::endl;
-
223 throw;
-
224 return -999.999;
-
225 }
-
226 return Par[Parameter];
-
227 }
+

Definition at line 219 of file SplineStructs.h.

+
219 {
+
220 if (Parameter > length) {
+
221 std::cerr << "Error: you requested parameter number " << Parameter << " but length is " << length << " parameters" << std::endl;
+
222 throw;
+
223 return -999.999;
+
224 }
+
225 return Par[Parameter];
+
226 }
@@ -448,8 +452,8 @@

Definition at line 235 of file SplineStructs.h.

-
235{ return length; }
+

Definition at line 234 of file SplineStructs.h.

+
234{ return length; }
@@ -476,6 +480,8 @@

+

Print detailed info.

+

Definition at line 236 of file SplineStructs.h.

236 {
237 std::cout << "Printing TF1_red: " << std::endl;
@@ -528,18 +534,18 @@

Definition at line 185 of file SplineStructs.h.

-
185 {
-
186 length = Func->GetNpar();
-
187 if (Par != NULL) delete[] Par;
-
188 Par = new _float_[length];
-
189 for (int i = 0; i < length; ++i) {
-
190 Par[i] = Func->GetParameter(i);
-
191 }
-
192 ParamNo = Param;
-
193 delete Func;
-
194 Func = NULL;
-
195 }
+

Definition at line 184 of file SplineStructs.h.

+
184 {
+
185 length = Func->GetNpar();
+
186 if (Par != NULL) delete[] Par;
+
187 Par = new _float_[length];
+
188 for (int i = 0; i < length; ++i) {
+
189 Par[i] = Func->GetParameter(i);
+
190 }
+
191 ParamNo = Param;
+
192 delete Func;
+
193 Func = NULL;
+
194 }
_float_
#define _float_
Definition Structs.h:11
@@ -580,10 +586,10 @@

Definition at line 215 of file SplineStructs.h.

-
215 {
-
216 Par[Parameter] = Value;
-
217 }
+

Definition at line 214 of file SplineStructs.h.

+
214 {
+
215 Par[Parameter] = Value;
+
216 }

@@ -613,11 +619,11 @@

Definition at line 230 of file SplineStructs.h.

-
230 {
-
231 length = nSpline;
-
232 Par = new _float_[length];
-
233 }
+

Definition at line 229 of file SplineStructs.h.

+
229 {
+
230 length = nSpline;
+
231 Par = new _float_[length];
+
232 }
diff --git a/classTSpline3__red.html b/classTSpline3__red.html index e8a76e82..63abb478 100644 --- a/classTSpline3__red.html +++ b/classTSpline3__red.html @@ -111,6 +111,7 @@  Empty destructor.
  int FindX (double x) + Find the segment relevant to this variation in x See root/hist/hist/src/TSpline3FindX(double) or samplePDFND....::FindSplineSegment.
  double Eval (double var)  CW: Evaluate the weight from a variation.
@@ -409,7 +410,7 @@

624 double weight = y+dx*(b+dx*(c+d*dx));
625 return weight;
626 }
-
TSpline3_red::FindX
int FindX(double x)
Definition SplineStructs.h:582
+
TSpline3_red::FindX
int FindX(double x)
Find the segment relevant to this variation in x See root/hist/hist/src/TSpline3FindX(double) or samp...
Definition SplineStructs.h:582
TSpline3_red::GetCoeff
void GetCoeff(int segment, _float_ &x, _float_ &y, _float_ &b, _float_ &c, _float_ &d)
CW: Get the coefficient of a given segment.
Definition SplineStructs.h:637
@@ -437,7 +438,8 @@

-

Find the segment relevant to this variation in x See root/hist/hist/src/TSpline3FindX(double) or samplePDFND....::FindSplineSegment

+ +

Find the segment relevant to this variation in x See root/hist/hist/src/TSpline3FindX(double) or samplePDFND....::FindSplineSegment.

Definition at line 582 of file SplineStructs.h.

582 {
diff --git a/classThrowParms.html b/classThrowParms.html index 952b2a82..c0faba18 100644 --- a/classThrowParms.html +++ b/classThrowParms.html @@ -80,6 +80,9 @@
+

No idea really... + More...

+

#include <ThrowParms.h>

@@ -116,8 +119,10 @@

 

Detailed Description

-
-

Definition at line 17 of file ThrowParms.h.

+

No idea really...

+
Warning
this is deprecated don't use it
+ +

Definition at line 19 of file ThrowParms.h.

Constructor & Destructor Documentation

◆ ThrowParms()

@@ -170,11 +175,11 @@

28 CheloskyDecomp((*chel_dec));

29}
GetFromManager
Type GetFromManager(const YAML::Node &node, Type defval)
Get content of config file if node is not found take default value specified.
Definition YamlHelper.h:18
- -
ThrowParms::pvals
TVectorD * pvals
Definition ThrowParms.h:19
-
ThrowParms::chel_dec
TMatrixD * chel_dec
Definition ThrowParms.h:21
+ +
ThrowParms::pvals
TVectorD * pvals
Definition ThrowParms.h:21
+
ThrowParms::chel_dec
TMatrixD * chel_dec
Definition ThrowParms.h:23
ThrowParms::CheloskyDecomp
void CheloskyDecomp(TMatrixD &chel_mat)
Definition ThrowParms.cpp:80
-
ThrowParms::covar
TMatrixDSym * covar
Definition ThrowParms.h:20
+
ThrowParms::covar
TMatrixDSym * covar
Definition ThrowParms.h:22
@@ -278,8 +283,8 @@

-

Definition at line 33 of file ThrowParms.h.

-
33{return npars;};
+

Definition at line 35 of file ThrowParms.h.

+
35{return npars;};
@@ -307,9 +312,9 @@

-

Definition at line 32 of file ThrowParms.h.

-
32{rand.SetSeed(seed);};
-
ThrowParms::rand
TRandom3 rand
Definition ThrowParms.h:23
+

Definition at line 34 of file ThrowParms.h.

+
34{rand.SetSeed(seed);};
+
ThrowParms::rand
TRandom3 rand
Definition ThrowParms.h:25
@@ -420,7 +425,7 @@

-

Definition at line 21 of file ThrowParms.h.

+

Definition at line 23 of file ThrowParms.h.

@@ -444,7 +449,7 @@

-

Definition at line 20 of file ThrowParms.h.

+

Definition at line 22 of file ThrowParms.h.

@@ -468,7 +473,7 @@

-

Definition at line 22 of file ThrowParms.h.

+

Definition at line 24 of file ThrowParms.h.

@@ -492,7 +497,7 @@

-

Definition at line 19 of file ThrowParms.h.

+

Definition at line 21 of file ThrowParms.h.

@@ -516,7 +521,7 @@

-

Definition at line 23 of file ThrowParms.h.

+

Definition at line 25 of file ThrowParms.h.

diff --git a/classTruncated__Spline.html b/classTruncated__Spline.html index aa0666cc..cc346a67 100644 --- a/classTruncated__Spline.html +++ b/classTruncated__Spline.html @@ -104,6 +104,7 @@  Empty destructor.
  int FindX (double x) + Find the segment relevant to this variation in x See root/hist/hist/src/TSpline3FindX(double) or samplePDFND....::FindSplineSegment.
  double Eval (double var)  Evaluate the weight from a variation.
@@ -125,6 +126,7 @@  Empty destructor.
  int FindX (double x) + Find the segment relevant to this variation in x See root/hist/hist/src/TSpline3FindX(double) or samplePDFND....::FindSplineSegment.
  double Eval (double var)  CW: Evaluate the weight from a variation.
@@ -334,7 +336,7 @@

TSpline3_red::nPoints
_int_ nPoints
Number of points/knot in TSpline3.
Definition SplineStructs.h:654
TSpline3_red::GetCoeff
void GetCoeff(int segment, _float_ &x, _float_ &y, _float_ &b, _float_ &c, _float_ &d)
CW: Get the coefficient of a given segment.
Definition SplineStructs.h:637
TSpline3_red::GetKnot
void GetKnot(int i, _float_ &xtmp, _float_ &ytmp)
Definition SplineStructs.h:631
-
Truncated_Spline::FindX
int FindX(double x)
Definition SplineStructs.h:690
+
Truncated_Spline::FindX
int FindX(double x)
Find the segment relevant to this variation in x See root/hist/hist/src/TSpline3FindX(double) or samp...
Definition SplineStructs.h:690
@@ -361,7 +363,8 @@

-

Find the segment relevant to this variation in x See root/hist/hist/src/TSpline3FindX(double) or samplePDFND....::FindSplineSegment

+ +

Find the segment relevant to this variation in x See root/hist/hist/src/TSpline3FindX(double) or samplePDFND....::FindSplineSegment.

Definition at line 690 of file SplineStructs.h.

690 {
diff --git a/classcovarianceBase.html b/classcovarianceBase.html index e9ed0e06..c532440d 100644 --- a/classcovarianceBase.html +++ b/classcovarianceBase.html @@ -252,6 +252,7 @@ std::vector< double > getGeneratedValues ()   std::vector< double > getProposed () const + Get vector of all proposed parameter values.
  double getParProp (const int i)  Get proposed parameter value.
@@ -263,8 +264,10 @@  Get prior parameter value.
  virtual double getNominal (const int i) + Return generated value, although is virtual so class inheriting might actual get nominal not generated.
  double GetGenerated (const int i) + Return generated value for a given parameter.
  double GetUpperBound (const int i)  Get upper parameter bound in which it is physically valid.
@@ -285,16 +288,22 @@  Is parameter fixed in PCA base or not.
  const TMatrixD getTransferMatrix () + Get transfer matrix allowing to go from PCA base to normal base.
  const TMatrixD getEigenVectors () + Get eigen vectors of covariance matrix, only works with PCA.
  const TVectorD getEigenValues () + Get eigen values for all parameters, if you want for decomposed only parameters use getEigenValuesMaster.
  const std::vector< double > getEigenValuesMaster () + Get eigen value of only decomposed parameters, if you want for all parameters use getEigenValues.
  void setParProp_PCA (const int i, const double value) + Set proposed value for parameter in PCA base.
  void setParCurr_PCA (const int i, const double value) + Set current value for parameter in PCA base.
  void setParameters_PCA (const std::vector< double > &pars)  Set values for PCA parameters in PCA base.
@@ -630,14 +639,14 @@

34}

MACH3LOG_INFO
#define MACH3LOG_INFO
Definition MaCh3Logger.h:13
GetFromManager
Type GetFromManager(const YAML::Node &node, Type defval)
Get content of config file if node is not found take default value specified.
Definition YamlHelper.h:18
-
covarianceBase::matrixName
const char * matrixName
Name of cov matrix.
Definition covarianceBase.h:403
-
covarianceBase::inputFile
const std::string inputFile
The input root file we read in.
Definition covarianceBase.h:398
-
covarianceBase::LastPCAdpar
int LastPCAdpar
Index of the last param that is being decomposed.
Definition covarianceBase.h:463
+
covarianceBase::matrixName
const char * matrixName
Name of cov matrix.
Definition covarianceBase.h:419
+
covarianceBase::inputFile
const std::string inputFile
The input root file we read in.
Definition covarianceBase.h:414
+
covarianceBase::LastPCAdpar
int LastPCAdpar
Index of the last param that is being decomposed.
Definition covarianceBase.h:479
covarianceBase::ConstructPCA
void ConstructPCA()
CW: Calculate eigen values, prepare transition matrices and remove param based on defined threshold.
Definition covarianceBase.cpp:118
-
covarianceBase::pca
bool pca
perform PCA or not
Definition covarianceBase.h:455
-
covarianceBase::FirstPCAdpar
int FirstPCAdpar
Index of the first param that is being decomposed.
Definition covarianceBase.h:461
+
covarianceBase::pca
bool pca
perform PCA or not
Definition covarianceBase.h:471
+
covarianceBase::FirstPCAdpar
int FirstPCAdpar
Index of the first param that is being decomposed.
Definition covarianceBase.h:477
covarianceBase::init
void init(const char *name, const char *file)
Initialisation of the class using matrix stored in the ROOT file.
Definition covarianceBase.cpp:252
-
covarianceBase::eigen_threshold
double eigen_threshold
CW: Threshold based on which we remove parameters in eigen base.
Definition covarianceBase.h:457
+
covarianceBase::eigen_threshold
double eigen_threshold
CW: Threshold based on which we remove parameters in eigen base.
Definition covarianceBase.h:473
@@ -807,6 +816,7 @@

nameMatrix name filePath to matrix root file + seedSeed for TRandom3 thresholdPCA threshold from 0 to 1. Default is -1 and means no PCA FirstPCAdparFirst PCA parameter that will be decomposed. LastPCAdparFirst PCA parameter that will be decomposed. @@ -901,24 +911,24 @@

113 delete[] random_number;
114 if (throwMatrix != NULL) delete throwMatrix;
115}
-
covarianceBase::_fPropVal
std::vector< double > _fPropVal
Proposed value of the parameter.
Definition covarianceBase.h:437
-
covarianceBase::_fUpBound
std::vector< double > _fUpBound
Upper physical bound, parameter will not be able to go beyond it.
Definition covarianceBase.h:445
-
covarianceBase::_fError
std::vector< double > _fError
Prior error on the parameter.
Definition covarianceBase.h:441
-
covarianceBase::invCovMatrix
TMatrixDSym * invCovMatrix
The inverse covariance matrix.
Definition covarianceBase.h:407
-
covarianceBase::_fIndivStepScale
std::vector< double > _fIndivStepScale
Individual step scale used by MCMC algorithm.
Definition covarianceBase.h:447
-
covarianceBase::InvertCovMatrix
double ** InvertCovMatrix
KS: Same as above but much faster as TMatrixDSym cache miss.
Definition covarianceBase.h:409
-
covarianceBase::random_number
TRandom3 ** random_number
KS: Set Random numbers for each thread so each thread has different seed.
Definition covarianceBase.h:412
-
covarianceBase::covMatrix
TMatrixDSym * covMatrix
The covariance matrix.
Definition covarianceBase.h:405
-
covarianceBase::throwMatrix
TMatrixDSym * throwMatrix
Definition covarianceBase.h:488
-
covarianceBase::randParams
double * randParams
Random number taken from gaussian around prior error used for corr_throw.
Definition covarianceBase.h:415
-
covarianceBase::_fPreFitValue
std::vector< double > _fPreFitValue
Parameter value dictated by the prior model. Based on it penalty term is calculated.
Definition covarianceBase.h:433
-
covarianceBase::corr_throw
double * corr_throw
Result of multiplication of Cholesky matrix and randParams.
Definition covarianceBase.h:417
-
covarianceBase::_fLowBound
std::vector< double > _fLowBound
Lowest physical bound, parameter will not be able to go beyond it.
Definition covarianceBase.h:443
-
covarianceBase::throwMatrix_CholDecomp
TMatrixD * throwMatrix_CholDecomp
Definition covarianceBase.h:489
-
covarianceBase::_fNumPar
int _fNumPar
Number of systematic parameters.
Definition covarianceBase.h:431
-
covarianceBase::throwMatrixCholDecomp
double ** throwMatrixCholDecomp
Throw matrix that is being used in the fit, much faster as TMatrixDSym cache miss.
Definition covarianceBase.h:491
-
covarianceBase::_fFlatPrior
std::vector< bool > _fFlatPrior
Whether to apply flat prior or not.
Definition covarianceBase.h:449
-
covarianceBase::_fCurrVal
std::vector< double > _fCurrVal
Current value of the parameter.
Definition covarianceBase.h:435
+
covarianceBase::_fPropVal
std::vector< double > _fPropVal
Proposed value of the parameter.
Definition covarianceBase.h:453
+
covarianceBase::_fUpBound
std::vector< double > _fUpBound
Upper physical bound, parameter will not be able to go beyond it.
Definition covarianceBase.h:461
+
covarianceBase::_fError
std::vector< double > _fError
Prior error on the parameter.
Definition covarianceBase.h:457
+
covarianceBase::invCovMatrix
TMatrixDSym * invCovMatrix
The inverse covariance matrix.
Definition covarianceBase.h:423
+
covarianceBase::_fIndivStepScale
std::vector< double > _fIndivStepScale
Individual step scale used by MCMC algorithm.
Definition covarianceBase.h:463
+
covarianceBase::InvertCovMatrix
double ** InvertCovMatrix
KS: Same as above but much faster as TMatrixDSym cache miss.
Definition covarianceBase.h:425
+
covarianceBase::random_number
TRandom3 ** random_number
KS: Set Random numbers for each thread so each thread has different seed.
Definition covarianceBase.h:428
+
covarianceBase::covMatrix
TMatrixDSym * covMatrix
The covariance matrix.
Definition covarianceBase.h:421
+
covarianceBase::throwMatrix
TMatrixDSym * throwMatrix
Definition covarianceBase.h:504
+
covarianceBase::randParams
double * randParams
Random number taken from gaussian around prior error used for corr_throw.
Definition covarianceBase.h:431
+
covarianceBase::_fPreFitValue
std::vector< double > _fPreFitValue
Parameter value dictated by the prior model. Based on it penalty term is calculated.
Definition covarianceBase.h:449
+
covarianceBase::corr_throw
double * corr_throw
Result of multiplication of Cholesky matrix and randParams.
Definition covarianceBase.h:433
+
covarianceBase::_fLowBound
std::vector< double > _fLowBound
Lowest physical bound, parameter will not be able to go beyond it.
Definition covarianceBase.h:459
+
covarianceBase::throwMatrix_CholDecomp
TMatrixD * throwMatrix_CholDecomp
Definition covarianceBase.h:505
+
covarianceBase::_fNumPar
int _fNumPar
Number of systematic parameters.
Definition covarianceBase.h:447
+
covarianceBase::throwMatrixCholDecomp
double ** throwMatrixCholDecomp
Throw matrix that is being used in the fit, much faster as TMatrixDSym cache miss.
Definition covarianceBase.h:507
+
covarianceBase::_fFlatPrior
std::vector< bool > _fFlatPrior
Whether to apply flat prior or not.
Definition covarianceBase.h:465
+
covarianceBase::_fCurrVal
std::vector< double > _fCurrVal
Current value of the parameter.
Definition covarianceBase.h:451
MaCh3Utils::GetNThreads
int GetNThreads()
number of threads which we need for example for TRandom3
Definition CovarianceUtils.h:32
@@ -963,10 +973,10 @@

908 TransferToParam();
909 }
910}
-
covarianceBase::fParProp_PCA
TVectorD fParProp_PCA
CW: Current parameter value in PCA base.
Definition covarianceBase.h:479
+
covarianceBase::fParProp_PCA
TVectorD fParProp_PCA
CW: Current parameter value in PCA base.
Definition covarianceBase.h:495
covarianceBase::TransferToParam
void TransferToParam()
Transfer param values from PCA base to normal base.
Definition covarianceBase.cpp:595
-
covarianceBase::fParCurr_PCA
TVectorD fParCurr_PCA
CW: Proposed parameter value in PCA base.
Definition covarianceBase.h:481
-
covarianceBase::_fNumParPCA
int _fNumParPCA
Number of parameters in PCA base.
Definition covarianceBase.h:459
+
covarianceBase::fParCurr_PCA
TVectorD fParCurr_PCA
CW: Proposed parameter value in PCA base.
Definition covarianceBase.h:497
+
covarianceBase::_fNumParPCA
int _fNumParPCA
Number of parameters in PCA base.
Definition covarianceBase.h:475
@@ -1039,19 +1049,25 @@

What parameter Gets reweighted by what amount according to MCMC.

+
Parameters
+ + +
binsimply parameter index
+
+
-

Definition at line 178 of file covarianceBase.h.

-
178 {
-
179 if (bin >= 0 && bin < _fNumPar) {
-
180 return _fPropVal[bin];
-
181 } else {
-
182 MACH3LOG_WARN("Specified bin is <= 0 OR bin > npar!");
-
183 MACH3LOG_WARN("bin = {}, npar = {}", bin, _fNumPar);
-
184 MACH3LOG_WARN("This won't ruin much that this step in the MCMC, but does indicate something wrong in memory!");
-
185 return 1.0;
-
186 }
-
187 return 1.0;
-
188 }
+

Definition at line 186 of file covarianceBase.h.

+
186 {
+
187 if (bin >= 0 && bin < _fNumPar) {
+
188 return _fPropVal[bin];
+
189 } else {
+
190 MACH3LOG_WARN("Specified bin is <= 0 OR bin > npar!");
+
191 MACH3LOG_WARN("bin = {}, npar = {}", bin, _fNumPar);
+
192 MACH3LOG_WARN("This won't ruin much that this step in the MCMC, but does indicate something wrong in memory!");
+
193 return 1.0;
+
194 }
+
195 return 1.0;
+
196 }
@@ -1252,16 +1268,16 @@

248 #endif
249}
MACH3LOG_ERROR
#define MACH3LOG_ERROR
Definition MaCh3Logger.h:15
-
covarianceBase::nKeptPCApars
int nKeptPCApars
Total number that remained after applying PCA Threshold.
Definition covarianceBase.h:465
-
covarianceBase::TransferMatT
TMatrixD TransferMatT
Matrix used to converting from normal base to PCA base.
Definition covarianceBase.h:477
-
covarianceBase::TransferMat
TMatrixD TransferMat
Matrix used to converting from PCA base to normal base.
Definition covarianceBase.h:475
-
covarianceBase::fParSigma_PCA
std::vector< double > fParSigma_PCA
Tells if parameter is fixed in PCA base or not.
Definition covarianceBase.h:483
-
covarianceBase::size
int size
Total number of parmas, deprecated, please don't use it.
Definition covarianceBase.h:401
-
covarianceBase::eigen_vectors
TMatrixD eigen_vectors
Eigen vectors only of params which are being decomposed.
Definition covarianceBase.h:469
-
covarianceBase::eigen_values
TVectorD eigen_values
Eigen value only of particles which are being decomposed.
Definition covarianceBase.h:467
-
covarianceBase::_fPreFitValue_PCA
std::vector< double > _fPreFitValue_PCA
Prefit value for PCA params.
Definition covarianceBase.h:473
-
covarianceBase::isDecomposed_PCA
std::vector< int > isDecomposed_PCA
If param is decomposed this will return -1, if not this will return enumerator to param in normal bas...
Definition covarianceBase.h:485
-
covarianceBase::eigen_values_master
std::vector< double > eigen_values_master
Eigen values which have dimension equal to _fNumParPCA, and can be used in CorrelateSteps.
Definition covarianceBase.h:471
+
covarianceBase::nKeptPCApars
int nKeptPCApars
Total number that remained after applying PCA Threshold.
Definition covarianceBase.h:481
+
covarianceBase::TransferMatT
TMatrixD TransferMatT
Matrix used to converting from normal base to PCA base.
Definition covarianceBase.h:493
+
covarianceBase::TransferMat
TMatrixD TransferMat
Matrix used to converting from PCA base to normal base.
Definition covarianceBase.h:491
+
covarianceBase::fParSigma_PCA
std::vector< double > fParSigma_PCA
Tells if parameter is fixed in PCA base or not.
Definition covarianceBase.h:499
+
covarianceBase::size
int size
Total number of parmas, deprecated, please don't use it.
Definition covarianceBase.h:417
+
covarianceBase::eigen_vectors
TMatrixD eigen_vectors
Eigen vectors only of params which are being decomposed.
Definition covarianceBase.h:485
+
covarianceBase::eigen_values
TVectorD eigen_values
Eigen value only of particles which are being decomposed.
Definition covarianceBase.h:483
+
covarianceBase::_fPreFitValue_PCA
std::vector< double > _fPreFitValue_PCA
Prefit value for PCA params.
Definition covarianceBase.h:489
+
covarianceBase::isDecomposed_PCA
std::vector< int > isDecomposed_PCA
If param is decomposed this will return -1, if not this will return enumerator to param in normal bas...
Definition covarianceBase.h:501
+
covarianceBase::eigen_values_master
std::vector< double > eigen_values_master
Eigen values which have dimension equal to _fNumParPCA, and can be used in CorrelateSteps.
Definition covarianceBase.h:487
@@ -1337,7 +1353,7 @@

885 TransferToParam();
886 }
887}
-
covarianceBase::_fGlobalStepScale
double _fGlobalStepScale
Global step scale applied ot all params in this class.
Definition covarianceBase.h:419
+
covarianceBase::_fGlobalStepScale
double _fGlobalStepScale
Global step scale applied ot all params in this class.
Definition covarianceBase.h:435
covarianceBase::MatrixVectorMulti
void MatrixVectorMulti(double *_restrict_ VecMulti, double **_restrict_ matrix, const double *_restrict_ vector, const int n)
KS: Custom function to perform multiplication of matrix and vector with multithreading.
Definition covarianceBase.cpp:1230
@@ -1368,17 +1384,17 @@

Definition at line 357 of file covarianceBase.h.

-
357 {
-
358 use_adaptive = enable;
-
359 total_steps = 0; //Set these to default values
-
360 lower_adapt = 10000;
-
361 upper_adapt = 10000000;
-
362 }
- - -
covarianceBase::use_adaptive
bool use_adaptive
HW: Do we use adaptive MCMC or not.
Definition covarianceBase.h:498
- +

Definition at line 373 of file covarianceBase.h.

+
373 {
+
374 use_adaptive = enable;
+
375 total_steps = 0; //Set these to default values
+
376 lower_adapt = 10000;
+
377 upper_adapt = 10000000;
+
378 }
+ + +
covarianceBase::use_adaptive
bool use_adaptive
HW: Do we use adaptive MCMC or not.
Definition covarianceBase.h:514
+
@@ -1426,9 +1442,9 @@

1602 }
1603 return hMatrix;
1604}
-
covarianceBase::getDiagonalError
double getDiagonalError(const int i)
Get diagonal error for ith parameter.
Definition covarianceBase.h:154
-
covarianceBase::GetParFancyName
std::string GetParFancyName(const int i)
Get fancy name of the Parameter.
Definition covarianceBase.h:145
-
covarianceBase::getName
const char * getName()
Get name of covariance.
Definition covarianceBase.h:136
+
covarianceBase::getDiagonalError
double getDiagonalError(const int i)
Get diagonal error for ith parameter.
Definition covarianceBase.h:161
+
covarianceBase::GetParFancyName
std::string GetParFancyName(const int i)
Get fancy name of the Parameter.
Definition covarianceBase.h:152
+
covarianceBase::getName
const char * getName()
Get name of covariance.
Definition covarianceBase.h:143
@@ -1457,8 +1473,8 @@

Definition at line 128 of file covarianceBase.h.

-
128{ return covMatrix; }
+

Definition at line 135 of file covarianceBase.h.

+
135{ return covMatrix; }
@@ -1494,8 +1510,8 @@

Definition at line 154 of file covarianceBase.h.

-
154{ return std::sqrt((*covMatrix)(i,i)); }
+

Definition at line 161 of file covarianceBase.h.

+
161{ return std::sqrt((*covMatrix)(i,i)); }
@@ -1522,11 +1538,13 @@

-

Definition at line 257 of file covarianceBase.h.

-
257 {
-
258 if (!pca) { MACH3LOG_ERROR("Am not running in PCA mode"); throw; }
-
259 return eigen_values;
-
260 }
+

Get eigen values for all parameters, if you want for decomposed only parameters use getEigenValuesMaster.

+ +

Definition at line 269 of file covarianceBase.h.

+
269 {
+
270 if (!pca) { MACH3LOG_ERROR("Am not running in PCA mode"); throw; }
+
271 return eigen_values;
+
272 }
@@ -1553,11 +1571,13 @@

-

Definition at line 262 of file covarianceBase.h.

-
262 {
-
263 if (!pca) { MACH3LOG_ERROR("Am not running in PCA mode"); throw; }
-
264 return eigen_values_master;
-
265 }
+

Get eigen value of only decomposed parameters, if you want for all parameters use getEigenValues.

+ +

Definition at line 274 of file covarianceBase.h.

+
274 {
+
275 if (!pca) { MACH3LOG_ERROR("Am not running in PCA mode"); throw; }
+
276 return eigen_values_master;
+
277 }
@@ -1584,11 +1604,13 @@

-

Definition at line 252 of file covarianceBase.h.

-
252 {
-
253 if (!pca) { MACH3LOG_ERROR("Am not running in PCA mode"); throw; }
-
254 return eigen_vectors;
-
255 }
+

Get eigen vectors of covariance matrix, only works with PCA.

+ +

Definition at line 264 of file covarianceBase.h.

+
264 {
+
265 if (!pca) { MACH3LOG_ERROR("Am not running in PCA mode"); throw; }
+
266 return eigen_vectors;
+
267 }
@@ -1624,8 +1646,8 @@

Definition at line 133 of file covarianceBase.h.

-
133{ return _fFlatPrior[i]; }
+

Definition at line 140 of file covarianceBase.h.

+
140{ return _fFlatPrior[i]; }
@@ -1653,9 +1675,17 @@

-

Definition at line 216 of file covarianceBase.h.

-
216{ return _fGenerated[i];}
-
covarianceBase::_fGenerated
std::vector< double > _fGenerated
Generated value of the parameter.
Definition covarianceBase.h:439
+

Return generated value for a given parameter.

+
Parameters
+ + +
iParameter index
+
+
+ +

Definition at line 228 of file covarianceBase.h.

+
228{ return _fGenerated[i];}
+
covarianceBase::_fGenerated
std::vector< double > _fGenerated
Generated value of the parameter.
Definition covarianceBase.h:455
@@ -1682,8 +1712,8 @@

-

Definition at line 203 of file covarianceBase.h.

-
203{return _fGenerated;}
+

Definition at line 211 of file covarianceBase.h.

+
211{return _fGenerated;}
@@ -1719,8 +1749,8 @@

Definition at line 225 of file covarianceBase.h.

-
225{return _fIndivStepScale.at(ParameterIndex); }
+

Definition at line 237 of file covarianceBase.h.

+
237{return _fIndivStepScale.at(ParameterIndex); }
@@ -1749,8 +1779,8 @@

Definition at line 150 of file covarianceBase.h.

-
150{ return inputFile; }
+

Definition at line 157 of file covarianceBase.h.

+
157{ return inputFile; }
@@ -1779,8 +1809,8 @@

Definition at line 130 of file covarianceBase.h.

-
130{ return invCovMatrix; }
+

Definition at line 137 of file covarianceBase.h.

+
137{ return invCovMatrix; }
@@ -1862,8 +1892,8 @@

Definition at line 222 of file covarianceBase.h.

-
222{ return _fLowBound[i]; }
+

Definition at line 234 of file covarianceBase.h.

+
234{ return _fLowBound[i]; }
@@ -1892,8 +1922,8 @@

Definition at line 136 of file covarianceBase.h.

-
136{ return matrixName; }
+

Definition at line 143 of file covarianceBase.h.

+
143{ return matrixName; }
@@ -1921,11 +1951,19 @@

+

Return generated value, although is virtual so class inheriting might actual get nominal not generated.

+
Parameters
+ + +
iParameter index
+
+
+

Reimplemented in covarianceXsec.

-

Definition at line 215 of file covarianceBase.h.

-
215{ return getParInit(i); }
-
covarianceBase::getParInit
double getParInit(const int i)
Get prior parameter value.
Definition covarianceBase.h:213
+

Definition at line 225 of file covarianceBase.h.

+
225{ return getParInit(i); }
+
covarianceBase::getParInit
double getParInit(const int i)
Get prior parameter value.
Definition covarianceBase.h:222
@@ -1994,11 +2032,11 @@

Definition at line 299 of file covarianceBase.h.

-
299 {
-
300 if (pca) return _fNumParPCA;
-
301 else return _fNumPar;
-
302 }
+

Definition at line 315 of file covarianceBase.h.

+
315 {
+
316 if (pca) return _fNumParPCA;
+
317 else return _fNumPar;
+
318 }
@@ -2027,8 +2065,8 @@

Definition at line 200 of file covarianceBase.h.

-
200{return _fNumPar;}
+

Definition at line 208 of file covarianceBase.h.

+
208{return _fNumPar;}
@@ -2055,9 +2093,9 @@

-

Definition at line 173 of file covarianceBase.h.

-
173{return par_means;}
-
covarianceBase::par_means
std::vector< double > par_means
Definition covarianceBase.h:502
+

Definition at line 180 of file covarianceBase.h.

+
180{return par_means;}
+
covarianceBase::par_means
std::vector< double > par_means
Definition covarianceBase.h:518
@@ -2093,8 +2131,8 @@

Definition at line 210 of file covarianceBase.h.

-
210{ return _fCurrVal[i]; }
+

Definition at line 219 of file covarianceBase.h.

+
219{ return _fCurrVal[i]; }
@@ -2130,11 +2168,11 @@

Definition at line 235 of file covarianceBase.h.

-
235 {
-
236 if (!pca) { MACH3LOG_ERROR("Am not running in PCA mode"); throw; }
-
237 return fParCurr_PCA(i);
-
238 }
+

Definition at line 247 of file covarianceBase.h.

+
247 {
+
248 if (!pca) { MACH3LOG_ERROR("Am not running in PCA mode"); throw; }
+
249 return fParCurr_PCA(i);
+
250 }
@@ -2170,9 +2208,9 @@

Definition at line 145 of file covarianceBase.h.

-
145{return _fFancyNames[i];}
-
covarianceBase::_fFancyNames
std::vector< std::string > _fFancyNames
Fancy name for example rather than xsec_0 it is MAQE, useful for human reading.
Definition covarianceBase.h:427
+

Definition at line 152 of file covarianceBase.h.

+
152{return _fFancyNames[i];}
+
covarianceBase::_fFancyNames
std::vector< std::string > _fFancyNames
Fancy name for example rather than xsec_0 it is MAQE, useful for human reading.
Definition covarianceBase.h:443
@@ -2208,8 +2246,8 @@

Definition at line 148 of file covarianceBase.h.

-
148{ return _fFancyNames[i].c_str(); }
+

Definition at line 155 of file covarianceBase.h.

+
155{ return _fFancyNames[i].c_str(); }
@@ -2245,8 +2283,8 @@

Definition at line 213 of file covarianceBase.h.

-
213{ return _fPreFitValue[i]; }
+

Definition at line 222 of file covarianceBase.h.

+
222{ return _fPreFitValue[i]; }
@@ -2282,9 +2320,9 @@

Definition at line 139 of file covarianceBase.h.

-
139{return _fNames[i];}
-
covarianceBase::_fNames
std::vector< std::string > _fNames
ETA _fNames is set automatically in the covariance class to be something like xsec_i,...
Definition covarianceBase.h:425
+

Definition at line 146 of file covarianceBase.h.

+
146{return _fNames[i];}
+
covarianceBase::_fNames
std::vector< std::string > _fNames
ETA _fNames is set automatically in the covariance class to be something like xsec_i,...
Definition covarianceBase.h:441
@@ -2320,8 +2358,8 @@

Definition at line 142 of file covarianceBase.h.

-
142{ return _fNames[i].c_str(); }
+

Definition at line 149 of file covarianceBase.h.

+
149{ return _fNames[i].c_str(); }
@@ -2357,8 +2395,8 @@

Definition at line 207 of file covarianceBase.h.

-
207{ return _fPropVal[i]; }
+

Definition at line 216 of file covarianceBase.h.

+
216{ return _fPropVal[i]; }
@@ -2394,11 +2432,11 @@

Definition at line 228 of file covarianceBase.h.

-
228 {
-
229 if (!pca) { MACH3LOG_ERROR("Am not running in PCA mode"); throw; }
-
230 return fParProp_PCA(i);
-
231 }
+

Definition at line 240 of file covarianceBase.h.

+
240 {
+
241 if (!pca) { MACH3LOG_ERROR("Am not running in PCA mode"); throw; }
+
242 return fParProp_PCA(i);
+
243 }
@@ -2425,8 +2463,8 @@

-

Definition at line 202 of file covarianceBase.h.

-
202{return _fPreFitValue;}
+

Definition at line 210 of file covarianceBase.h.

+
210{return _fPreFitValue;}
@@ -2445,6 +2483,8 @@

+

Get vector of all proposed parameter values.

+

Definition at line 614 of file covarianceBase.cpp.

614 {
615// ********************************************
@@ -2480,8 +2520,8 @@

getNpars()

-

Definition at line 297 of file covarianceBase.h.

-
297{ return _fNumPar; }
+

Definition at line 313 of file covarianceBase.h.

+
313{ return _fNumPar; }

@@ -2508,8 +2548,8 @@

-

Definition at line 171 of file covarianceBase.h.

-
171{return throwMatrix;}
+

Definition at line 178 of file covarianceBase.h.

+
178{return throwMatrix;}
@@ -2536,8 +2576,8 @@

-

Definition at line 172 of file covarianceBase.h.

-
172{return throwMatrix_CholDecomp;}
+

Definition at line 179 of file covarianceBase.h.

+
179{return throwMatrix_CholDecomp;}
@@ -2564,11 +2604,13 @@

-

Definition at line 247 of file covarianceBase.h.

-
247 {
-
248 if (!pca) { MACH3LOG_ERROR("Am not running in PCA mode"); throw; }
-
249 return TransferMat;
-
250 }
+

Get transfer matrix allowing to go from PCA base to normal base.

+ +

Definition at line 259 of file covarianceBase.h.

+
259 {
+
260 if (!pca) { MACH3LOG_ERROR("Am not running in PCA mode"); throw; }
+
261 return TransferMat;
+
262 }
@@ -2604,8 +2646,8 @@

Definition at line 219 of file covarianceBase.h.

-
219{ return _fUpBound[i];}
+

Definition at line 231 of file covarianceBase.h.

+
231{ return _fUpBound[i];}
@@ -2721,9 +2763,9 @@

324}
MACH3LOG_CRITICAL
#define MACH3LOG_CRITICAL
Definition MaCh3Logger.h:16
covarianceBase::setCovMatrix
void setCovMatrix(TMatrixDSym *cov)
Set covariance matrix.
Definition covarianceBase.cpp:504
-
covarianceBase::setName
void setName(const char *name)
Set matrix name.
Definition covarianceBase.h:66
+
covarianceBase::setName
void setName(const char *name)
Set matrix name.
Definition covarianceBase.h:67
covarianceBase::ReserveMemory
void ReserveMemory(const int size)
Initialise vectors with parameters information.
Definition covarianceBase.cpp:526
-
covarianceBase::PrintLength
unsigned int PrintLength
KS: This is used when printing parameters, sometimes we have super long parameters name,...
Definition covarianceBase.h:422
+
covarianceBase::PrintLength
unsigned int PrintLength
KS: This is used when printing parameters, sometimes we have super long parameters name,...
Definition covarianceBase.h:438
covarianceBase::MakePosDef
void MakePosDef(TMatrixDSym *cov=nullptr)
Make matrix positive definite by adding small values to diagonal, necessary for inverting matrix.
Definition covarianceBase.cpp:1290
@@ -2906,7 +2948,7 @@

473 return;
474}
MaCh3Exception
Custom exception class for MaCh3 errors.
Definition MaCh3Exception.h:10
-
covarianceBase::_fYAMLDoc
YAML::Node _fYAMLDoc
Stores config describing systematics.
Definition covarianceBase.h:429
+
covarianceBase::_fYAMLDoc
YAML::Node _fYAMLDoc
Stores config describing systematics.
Definition covarianceBase.h:445
@@ -3004,8 +3046,8 @@

1496 }
1497 }
1498}
-
covarianceBase::par_means_prev
std::vector< double > par_means_prev
Definition covarianceBase.h:503
-
covarianceBase::adaptiveCovariance
TMatrixDSym * adaptiveCovariance
Definition covarianceBase.h:504
+
covarianceBase::par_means_prev
std::vector< double > par_means_prev
Definition covarianceBase.h:519
+
covarianceBase::adaptiveCovariance
TMatrixDSym * adaptiveCovariance
Definition covarianceBase.h:520
@@ -3041,11 +3083,11 @@

Definition at line 328 of file covarianceBase.h.

-
328 {
-
329 if (_fError[i] < 0) { return true; }
-
330 else { return false; }
-
331 }
+

Definition at line 344 of file covarianceBase.h.

+
344 {
+
345 if (_fError[i] < 0) { return true; }
+
346 else { return false; }
+
347 }
@@ -3084,7 +3126,7 @@

1205 MACH3LOG_WARN("I couldn't find parameter with name {}, therefore will not fix it", name);
1206 return false;
1207}
-
covarianceBase::isParameterFixed
bool isParameterFixed(const int i)
Is parameter fixed or not.
Definition covarianceBase.h:328
+
covarianceBase::isParameterFixed
bool isParameterFixed(const int i)
Is parameter fixed or not.
Definition covarianceBase.h:344
@@ -3120,11 +3162,11 @@

Definition at line 242 of file covarianceBase.h.

-
242 {
-
243 if (fParSigma_PCA[i] < 0) { return true; }
-
244 else { return false; }
-
245 }
+

Definition at line 254 of file covarianceBase.h.

+
254 {
+
255 if (fParSigma_PCA[i] < 0) { return true; }
+
256 else { return false; }
+
257 }
@@ -3153,8 +3195,8 @@

Definition at line 345 of file covarianceBase.h.

-
345{ return pca; }
+

Definition at line 361 of file covarianceBase.h.

+
361{ return pca; }
@@ -3834,7 +3876,7 @@

1340 _fGlobalStepScale = 1.0;
1341 setIndivStepScale(stepScales);
1342}
-
covarianceBase::setIndivStepScale
void setIndivStepScale(const int ParameterIndex, const double StepScale)
DB Function to set fIndivStepScale from a vector (Can be used from execs and inside covariance constr...
Definition covarianceBase.h:98
+
covarianceBase::setIndivStepScale
void setIndivStepScale(const int ParameterIndex, const double StepScale)
DB Function to set fIndivStepScale from a vector (Can be used from execs and inside covariance constr...
Definition covarianceBase.h:105
@@ -3864,8 +3906,8 @@

Definition at line 196 of file covarianceBase.h.

-
196{return &(_fPropVal.data()[iParam]);}
+

Definition at line 204 of file covarianceBase.h.

+
204{return &(_fPropVal.data()[iParam]);}
@@ -3894,9 +3936,9 @@

Definition at line 395 of file covarianceBase.h.

-
395{return &Unity;}
-
covarianceBase::Unity
const double Unity
Unity for null systs to point back to.
Definition covarianceBase.h:452
+

Definition at line 411 of file covarianceBase.h.

+
411{return &Unity;}
+
covarianceBase::Unity
const double Unity
Unity for null systs to point back to.
Definition covarianceBase.h:468
@@ -4028,8 +4070,8 @@

Definition at line 169 of file covarianceBase.h.

-
169{lower_adapt=low_threshold; upper_adapt = up_threshold;}
+

Definition at line 176 of file covarianceBase.h.

+
176{lower_adapt=low_threshold; upper_adapt = up_threshold;}
@@ -4060,6 +4102,13 @@

set branches for output file

+
Parameters
+ + + +
treeTree to which we will save branches
SaveProposalNormally we only save parameter after is accepted, for debugging purpose it is helpful to see also proposed values. That's what this variable controls
+
+

Definition at line 1104 of file covarianceBase.cpp.

1104 {
@@ -4195,7 +4244,7 @@

1224 _fFlatPrior[i] = eL;

1225 }
1226}
-
covarianceBase::GetParName
std::string GetParName(const int i)
Get name of covariance.
Definition covarianceBase.h:139
+
covarianceBase::GetParName
std::string GetParName(const int i)
Get name of covariance.
Definition covarianceBase.h:146
@@ -4242,8 +4291,8 @@

Definition at line 98 of file covarianceBase.h.

-
98{ _fIndivStepScale.at(ParameterIndex) = StepScale; }
+

Definition at line 105 of file covarianceBase.h.

+
105{ _fIndivStepScale.at(ParameterIndex) = StepScale; }
@@ -4321,8 +4370,8 @@

Definition at line 66 of file covarianceBase.h.

-
66{ matrixName = name; }
+

Definition at line 67 of file covarianceBase.h.

+
67{ matrixName = name; }
@@ -4350,11 +4399,11 @@

-

Definition at line 164 of file covarianceBase.h.

-
164 {
-
165 total_steps = nsteps;
-
166 if(total_steps >= lower_adapt) resetIndivStepScale();
-
167 }
+

Definition at line 171 of file covarianceBase.h.

+
171 {
+
172 total_steps = nsteps;
+
173 if(total_steps >= lower_adapt) resetIndivStepScale();
+
174 }
@@ -4389,6 +4438,7 @@

Parameters
+
iParameter index
valnew value which will be set
@@ -4503,20 +4553,20 @@

Definition at line 283 of file covarianceBase.h.

-
283 {
-
284 if (!pca) { MACH3LOG_ERROR("Am not running in PCA mode"); throw; }
-
285 if (pars.size() != size_t(_fNumParPCA)) {
-
286 MACH3LOG_ERROR("Warning: parameter arrays of incompatible size! Not changing parameters! {} has size {} but was expecting {}", matrixName, pars.size(), _fNumPar);
-
287 throw;
-
288 }
-
289 unsigned int parsSize = pars.size();
-
290 for (unsigned int i = 0; i < parsSize; i++) {
-
291 fParProp_PCA(i) = pars[i];
-
292 }
-
293 //KS: Transfer to normal base
-
294 TransferToParam();
-
295 }
+

Definition at line 299 of file covarianceBase.h.

+
299 {
+
300 if (!pca) { MACH3LOG_ERROR("Am not running in PCA mode"); throw; }
+
301 if (pars.size() != size_t(_fNumParPCA)) {
+
302 MACH3LOG_ERROR("Warning: parameter arrays of incompatible size! Not changing parameters! {} has size {} but was expecting {}", matrixName, pars.size(), _fNumPar);
+
303 throw;
+
304 }
+
305 unsigned int parsSize = pars.size();
+
306 for (unsigned int i = 0; i < parsSize; i++) {
+
307 fParProp_PCA(i) = pars[i];
+
308 }
+
309 //KS: Transfer to normal base
+
310 TransferToParam();
+
311 }
@@ -4554,13 +4604,22 @@

-

Definition at line 274 of file covarianceBase.h.

-
274 {
-
275 if (!pca) { MACH3LOG_ERROR("Am not running in PCA mode"); throw; }
-
276 fParCurr_PCA(i) = value;
-
277 // And then transfer back to the parameter basis
-
278 TransferToParam();
-
279 }
+

Set current value for parameter in PCA base.

+
Parameters
+ + + +
iParameter index
valuenew value
+
+
+ +

Definition at line 290 of file covarianceBase.h.

+
290 {
+
291 if (!pca) { MACH3LOG_ERROR("Am not running in PCA mode"); throw; }
+
292 fParCurr_PCA(i) = value;
+
293 // And then transfer back to the parameter basis
+
294 TransferToParam();
+
295 }
@@ -4594,6 +4653,7 @@

Parameters
+
iParameter index
valnew value which will be set
@@ -4646,12 +4706,13 @@

Parameters
+
iParameter index
namenew name which will be set
-

Definition at line 69 of file covarianceBase.h.

-
69{ _fNames.at(i) = std::string(name); }
+

Definition at line 71 of file covarianceBase.h.

+
71{ _fNames.at(i) = std::string(name); }
@@ -4690,12 +4751,18 @@

Set proposed parameter value.

+
Parameters
+ + +
valnew value which will be set
+
+
-

Definition at line 78 of file covarianceBase.h.

-
78 {
-
79 _fPropVal[i] = val;
-
80 if (pca) TransferToPCA();
-
81 }
+

Definition at line 83 of file covarianceBase.h.

+
83 {
+
84 _fPropVal[i] = val;
+
85 if (pca) TransferToPCA();
+
86 }
@@ -4733,13 +4800,22 @@

-

Definition at line 267 of file covarianceBase.h.

-
267 {
-
268 if (!pca) { MACH3LOG_ERROR("Am not running in PCA mode"); throw; }
-
269 fParProp_PCA(i) = value;
-
270 // And then transfer back to the parameter basis
-
271 TransferToParam();
-
272 }
+

Set proposed value for parameter in PCA base.

+
Parameters
+ + + +
iParameter index
valuenew value
+
+
+ +

Definition at line 281 of file covarianceBase.h.

+
281 {
+
282 if (!pca) { MACH3LOG_ERROR("Am not running in PCA mode"); throw; }
+
283 fParProp_PCA(i) = value;
+
284 // And then transfer back to the parameter basis
+
285 TransferToParam();
+
286 }
@@ -4769,8 +4845,8 @@

Definition at line 103 of file covarianceBase.h.

-
103{ PrintLength = PriLen; }
+

Definition at line 110 of file covarianceBase.h.

+
110{ PrintLength = PriLen; }
@@ -4991,7 +5067,7 @@

668 delete nom_throws;
669 delete vec;
670}
- +
ThrowParms
No idea really...
Definition ThrowParms.h:19
covarianceBase::getNominalArray
virtual std::vector< double > getNominalArray()
Definition covarianceBase.cpp:1566
@@ -5593,7 +5669,7 @@

Definition at line 435 of file covarianceBase.h.

+

Definition at line 451 of file covarianceBase.h.

@@ -5619,7 +5695,7 @@

Definition at line 441 of file covarianceBase.h.

+

Definition at line 457 of file covarianceBase.h.

@@ -5645,7 +5721,7 @@

Definition at line 427 of file covarianceBase.h.

+

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@@ -5671,7 +5747,7 @@

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+

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@@ -5697,7 +5773,7 @@

Definition at line 439 of file covarianceBase.h.

+

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@@ -5723,7 +5799,7 @@

Definition at line 419 of file covarianceBase.h.

+

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@@ -5749,7 +5825,7 @@

Definition at line 447 of file covarianceBase.h.

+

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@@ -5775,7 +5851,7 @@

Definition at line 443 of file covarianceBase.h.

+

Definition at line 459 of file covarianceBase.h.

@@ -5801,7 +5877,7 @@

Definition at line 425 of file covarianceBase.h.

+

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@@ -5827,7 +5903,7 @@

Definition at line 431 of file covarianceBase.h.

+

Definition at line 447 of file covarianceBase.h.

@@ -5853,7 +5929,7 @@

Definition at line 459 of file covarianceBase.h.

+

Definition at line 475 of file covarianceBase.h.

@@ -5879,7 +5955,7 @@

Definition at line 433 of file covarianceBase.h.

+

Definition at line 449 of file covarianceBase.h.

@@ -5905,7 +5981,7 @@

Definition at line 473 of file covarianceBase.h.

+

Definition at line 489 of file covarianceBase.h.

@@ -5931,7 +6007,7 @@

Definition at line 437 of file covarianceBase.h.

+

Definition at line 453 of file covarianceBase.h.

@@ -5957,7 +6033,7 @@

Definition at line 445 of file covarianceBase.h.

+

Definition at line 461 of file covarianceBase.h.

@@ -5983,7 +6059,7 @@

Definition at line 429 of file covarianceBase.h.

+

Definition at line 445 of file covarianceBase.h.

@@ -6007,7 +6083,7 @@

-

Definition at line 504 of file covarianceBase.h.

+

Definition at line 520 of file covarianceBase.h.

@@ -6033,7 +6109,7 @@

Definition at line 417 of file covarianceBase.h.

+

Definition at line 433 of file covarianceBase.h.

@@ -6059,7 +6135,7 @@

Definition at line 405 of file covarianceBase.h.

+

Definition at line 421 of file covarianceBase.h.

@@ -6085,7 +6161,7 @@

Definition at line 457 of file covarianceBase.h.

+

Definition at line 473 of file covarianceBase.h.

@@ -6111,7 +6187,7 @@

Definition at line 467 of file covarianceBase.h.

+

Definition at line 483 of file covarianceBase.h.

@@ -6137,7 +6213,7 @@

Definition at line 471 of file covarianceBase.h.

+

Definition at line 487 of file covarianceBase.h.

@@ -6163,7 +6239,7 @@

Definition at line 469 of file covarianceBase.h.

+

Definition at line 485 of file covarianceBase.h.

@@ -6189,7 +6265,7 @@

Definition at line 461 of file covarianceBase.h.

+

Definition at line 477 of file covarianceBase.h.

@@ -6215,7 +6291,7 @@

Definition at line 481 of file covarianceBase.h.

+

Definition at line 497 of file covarianceBase.h.

@@ -6241,7 +6317,7 @@

Definition at line 479 of file covarianceBase.h.

+

Definition at line 495 of file covarianceBase.h.

@@ -6267,7 +6343,7 @@

Definition at line 483 of file covarianceBase.h.

+

Definition at line 499 of file covarianceBase.h.

@@ -6293,7 +6369,7 @@

Definition at line 398 of file covarianceBase.h.

+

Definition at line 414 of file covarianceBase.h.

@@ -6319,7 +6395,7 @@

Definition at line 407 of file covarianceBase.h.

+

Definition at line 423 of file covarianceBase.h.

@@ -6345,7 +6421,7 @@

Definition at line 409 of file covarianceBase.h.

+

Definition at line 425 of file covarianceBase.h.

@@ -6371,7 +6447,7 @@

Definition at line 485 of file covarianceBase.h.

+

Definition at line 501 of file covarianceBase.h.

@@ -6397,7 +6473,7 @@

Definition at line 463 of file covarianceBase.h.

+

Definition at line 479 of file covarianceBase.h.

@@ -6421,7 +6497,7 @@

-

Definition at line 500 of file covarianceBase.h.

+

Definition at line 516 of file covarianceBase.h.

@@ -6447,7 +6523,7 @@

Definition at line 403 of file covarianceBase.h.

+

Definition at line 419 of file covarianceBase.h.

@@ -6473,7 +6549,7 @@

Definition at line 465 of file covarianceBase.h.

+

Definition at line 481 of file covarianceBase.h.

@@ -6497,7 +6573,7 @@

-

Definition at line 502 of file covarianceBase.h.

+

Definition at line 518 of file covarianceBase.h.

@@ -6521,7 +6597,7 @@

-

Definition at line 503 of file covarianceBase.h.

+

Definition at line 519 of file covarianceBase.h.

@@ -6547,7 +6623,7 @@

Definition at line 455 of file covarianceBase.h.

+

Definition at line 471 of file covarianceBase.h.

@@ -6573,7 +6649,7 @@

Definition at line 422 of file covarianceBase.h.

+

Definition at line 438 of file covarianceBase.h.

@@ -6599,7 +6675,7 @@

Definition at line 412 of file covarianceBase.h.

+

Definition at line 428 of file covarianceBase.h.

@@ -6625,7 +6701,7 @@

Definition at line 415 of file covarianceBase.h.

+

Definition at line 431 of file covarianceBase.h.

@@ -6651,7 +6727,7 @@

Definition at line 401 of file covarianceBase.h.

+

Definition at line 417 of file covarianceBase.h.

@@ -6675,7 +6751,7 @@

-

Definition at line 488 of file covarianceBase.h.

+

Definition at line 504 of file covarianceBase.h.

@@ -6699,7 +6775,7 @@

-

Definition at line 489 of file covarianceBase.h.

+

Definition at line 505 of file covarianceBase.h.

@@ -6725,7 +6801,7 @@

Definition at line 491 of file covarianceBase.h.

+

Definition at line 507 of file covarianceBase.h.

@@ -6749,7 +6825,7 @@

-

Definition at line 499 of file covarianceBase.h.

+

Definition at line 515 of file covarianceBase.h.

@@ -6775,7 +6851,7 @@

Definition at line 475 of file covarianceBase.h.

+

Definition at line 491 of file covarianceBase.h.

@@ -6801,7 +6877,7 @@

Definition at line 477 of file covarianceBase.h.

+

Definition at line 493 of file covarianceBase.h.

@@ -6827,7 +6903,7 @@

Definition at line 452 of file covarianceBase.h.

+

Definition at line 468 of file covarianceBase.h.

@@ -6851,7 +6927,7 @@

-

Definition at line 500 of file covarianceBase.h.

+

Definition at line 516 of file covarianceBase.h.

@@ -6877,7 +6953,7 @@

Definition at line 498 of file covarianceBase.h.

+

Definition at line 514 of file covarianceBase.h.

diff --git a/classcovarianceOsc.html b/classcovarianceOsc.html index 13993037..2de6c9fe 100644 --- a/classcovarianceOsc.html +++ b/classcovarianceOsc.html @@ -290,6 +290,7 @@ std::vector< double > getGeneratedValues ()   std::vector< double > getProposed () const + Get vector of all proposed parameter values.
  double getParProp (const int i)  Get proposed parameter value.
@@ -301,8 +302,10 @@  Get prior parameter value.
  virtual double getNominal (const int i) + Return generated value, although is virtual so class inheriting might actual get nominal not generated.
  double GetGenerated (const int i) + Return generated value for a given parameter.
  double GetUpperBound (const int i)  Get upper parameter bound in which it is physically valid.
@@ -323,16 +326,22 @@  Is parameter fixed in PCA base or not.
  const TMatrixD getTransferMatrix () + Get transfer matrix allowing to go from PCA base to normal base.
  const TMatrixD getEigenVectors () + Get eigen vectors of covariance matrix, only works with PCA.
  const TVectorD getEigenValues () + Get eigen values for all parameters, if you want for decomposed only parameters use getEigenValuesMaster.
  const std::vector< double > getEigenValuesMaster () + Get eigen value of only decomposed parameters, if you want for all parameters use getEigenValues.
  void setParProp_PCA (const int i, const double value) + Set proposed value for parameter in PCA base.
  void setParCurr_PCA (const int i, const double value) + Set current value for parameter in PCA base.
  void setParameters_PCA (const std::vector< double > &pars)  Set values for PCA parameters in PCA base.
@@ -723,15 +732,15 @@

MACH3LOG_INFO
#define MACH3LOG_INFO
Definition MaCh3Logger.h:13
GetFromManager
Type GetFromManager(const YAML::Node &node, Type defval)
Get content of config file if node is not found take default value specified.
Definition YamlHelper.h:18
covarianceBase
Base class responsible for handling of systematic error parameters. Capable of using PCA or using ada...
Definition covarianceBase.h:32
-
covarianceBase::_fPropVal
std::vector< double > _fPropVal
Proposed value of the parameter.
Definition covarianceBase.h:437
+
covarianceBase::_fPropVal
std::vector< double > _fPropVal
Proposed value of the parameter.
Definition covarianceBase.h:453
covarianceBase::setFlatPrior
void setFlatPrior(const int i, const bool eL)
Set if parameter should have flat prior or not.
Definition covarianceBase.cpp:1210
covarianceBase::randomize
void randomize()
"Randomize" the parameters in the covariance class for the proposed step. Used the proposal kernel an...
Definition covarianceBase.cpp:797
-
covarianceBase::_fError
std::vector< double > _fError
Prior error on the parameter.
Definition covarianceBase.h:441
-
covarianceBase::_fIndivStepScale
std::vector< double > _fIndivStepScale
Individual step scale used by MCMC algorithm.
Definition covarianceBase.h:447
-
covarianceBase::_fNames
std::vector< std::string > _fNames
ETA _fNames is set automatically in the covariance class to be something like xsec_i,...
Definition covarianceBase.h:425
-
covarianceBase::_fPreFitValue
std::vector< double > _fPreFitValue
Parameter value dictated by the prior model. Based on it penalty term is calculated.
Definition covarianceBase.h:433
-
covarianceBase::_fNumPar
int _fNumPar
Number of systematic parameters.
Definition covarianceBase.h:431
-
covarianceBase::_fCurrVal
std::vector< double > _fCurrVal
Current value of the parameter.
Definition covarianceBase.h:435
+
covarianceBase::_fError
std::vector< double > _fError
Prior error on the parameter.
Definition covarianceBase.h:457
+
covarianceBase::_fIndivStepScale
std::vector< double > _fIndivStepScale
Individual step scale used by MCMC algorithm.
Definition covarianceBase.h:463
+
covarianceBase::_fNames
std::vector< std::string > _fNames
ETA _fNames is set automatically in the covariance class to be something like xsec_i,...
Definition covarianceBase.h:441
+
covarianceBase::_fPreFitValue
std::vector< double > _fPreFitValue
Parameter value dictated by the prior model. Based on it penalty term is calculated.
Definition covarianceBase.h:449
+
covarianceBase::_fNumPar
int _fNumPar
Number of systematic parameters.
Definition covarianceBase.h:447
+
covarianceBase::_fCurrVal
std::vector< double > _fCurrVal
Current value of the parameter.
Definition covarianceBase.h:451
covarianceOsc::flipBeta
bool flipBeta
Do we flip Beta or not.
Definition covarianceOsc.h:55
covarianceOsc::kDeltaM23
int kDeltaM23
There is special treatment for DeltaM23, therefore store enum keeping track when to apply special tre...
Definition covarianceOsc.h:64
covarianceOsc::L
double L
Value of baseline.
Definition covarianceOsc.h:47
@@ -1110,7 +1119,7 @@

235 MACH3LOG_INFO("Baseline: {}", L);
236 MACH3LOG_INFO("Earth Density: {}", density);
237}
-
covarianceBase::matrixName
const char * matrixName
Name of cov matrix.
Definition covarianceBase.h:403
+
covarianceBase::matrixName
const char * matrixName
Name of cov matrix.
Definition covarianceBase.h:419
@@ -1173,7 +1182,7 @@

193 if(random_number[0]->Uniform() < 0.5) _fPropVal[kBeta] = 1-_fCurrVal[kBeta];
194 }
195}
-
covarianceBase::random_number
TRandom3 ** random_number
KS: Set Random numbers for each thread so each thread has different seed.
Definition covarianceBase.h:412
+
covarianceBase::random_number
TRandom3 ** random_number
KS: Set Random numbers for each thread so each thread has different seed.
Definition covarianceBase.h:428
covarianceBase::proposeStep
virtual void proposeStep()
Generate a new proposed state.
Definition covarianceBase.cpp:786
diff --git a/classcovarianceXsec.html b/classcovarianceXsec.html index a3551e8a..84e1e4cc 100644 --- a/classcovarianceXsec.html +++ b/classcovarianceXsec.html @@ -345,6 +345,7 @@ std::vector< double > getGeneratedValues ()   std::vector< double > getProposed () const + Get vector of all proposed parameter values.
  double getParProp (const int i)  Get proposed parameter value.
@@ -356,6 +357,7 @@  Get prior parameter value.
  double GetGenerated (const int i) + Return generated value for a given parameter.
  double GetUpperBound (const int i)  Get upper parameter bound in which it is physically valid.
@@ -376,16 +378,22 @@  Is parameter fixed in PCA base or not.
  const TMatrixD getTransferMatrix () + Get transfer matrix allowing to go from PCA base to normal base.
  const TMatrixD getEigenVectors () + Get eigen vectors of covariance matrix, only works with PCA.
  const TVectorD getEigenValues () + Get eigen values for all parameters, if you want for decomposed only parameters use getEigenValuesMaster.
  const std::vector< double > getEigenValuesMaster () + Get eigen value of only decomposed parameters, if you want for all parameters use getEigenValues.
  void setParProp_PCA (const int i, const double value) + Set proposed value for parameter in PCA base.
  void setParCurr_PCA (const int i, const double value) + Set current value for parameter in PCA base.
  void setParameters_PCA (const std::vector< double > &pars)  Set values for PCA parameters in PCA base.
@@ -763,9 +771,9 @@

MACH3LOG_INFO
#define MACH3LOG_INFO
Definition MaCh3Logger.h:13
GetFromManager
Type GetFromManager(const YAML::Node &node, Type defval)
Get content of config file if node is not found take default value specified.
Definition YamlHelper.h:18
covarianceBase
Base class responsible for handling of systematic error parameters. Capable of using PCA or using ada...
Definition covarianceBase.h:32
-
covarianceBase::_fNames
std::vector< std::string > _fNames
ETA _fNames is set automatically in the covariance class to be something like xsec_i,...
Definition covarianceBase.h:425
-
covarianceBase::PrintLength
unsigned int PrintLength
KS: This is used when printing parameters, sometimes we have super long parameters name,...
Definition covarianceBase.h:422
-
covarianceBase::_fNumPar
int _fNumPar
Number of systematic parameters.
Definition covarianceBase.h:431
+
covarianceBase::_fNames
std::vector< std::string > _fNames
ETA _fNames is set automatically in the covariance class to be something like xsec_i,...
Definition covarianceBase.h:441
+
covarianceBase::PrintLength
unsigned int PrintLength
KS: This is used when printing parameters, sometimes we have super long parameters name,...
Definition covarianceBase.h:438
+
covarianceBase::_fNumPar
int _fNumPar
Number of systematic parameters.
Definition covarianceBase.h:447
covarianceXsec::initParams
void initParams(const double fScale)
Initialise CovarianceXsec.
Definition covarianceXsec.cpp:409
covarianceXsec::InitXsecFromConfig
void InitXsecFromConfig()
ETA - trying out the yaml parsing.
Definition covarianceXsec.cpp:28
covarianceXsec::Print
void Print()
Print information about the whole object once it is set.
Definition covarianceXsec.cpp:440
@@ -840,7 +848,7 @@

548}
MACH3LOG_CRITICAL
#define MACH3LOG_CRITICAL
Definition MaCh3Logger.h:16
MaCh3Exception
Custom exception class for MaCh3 errors.
Definition MaCh3Exception.h:10
-
covarianceBase::_fFancyNames
std::vector< std::string > _fFancyNames
Fancy name for example rather than xsec_0 it is MAQE, useful for human reading.
Definition covarianceBase.h:427
+
covarianceBase::_fFancyNames
std::vector< std::string > _fFancyNames
Fancy name for example rather than xsec_0 it is MAQE, useful for human reading.
Definition covarianceBase.h:443
covarianceXsec::_fFDSplineNames
std::vector< std::string > _fFDSplineNames
Definition covarianceXsec.h:142
covarianceXsec::_fNDSplineNames
std::vector< std::string > _fNDSplineNames
Definition covarianceXsec.h:141
@@ -1025,7 +1033,7 @@

Definition at line 110 of file covarianceXsec.h.

110{ return _fPreFitValue.at(i); };
-
covarianceBase::_fPreFitValue
std::vector< double > _fPreFitValue
Parameter value dictated by the prior model. Based on it penalty term is calculated.
Definition covarianceBase.h:433
+
covarianceBase::_fPreFitValue
std::vector< double > _fPreFitValue
Parameter value dictated by the prior model. Based on it penalty term is calculated.
Definition covarianceBase.h:449
@@ -1398,7 +1406,7 @@

388 }
389 return returnVec;
390}
-
covarianceBase::GetParFancyName
std::string GetParFancyName(const int i)
Get fancy name of the Parameter.
Definition covarianceBase.h:145
+
covarianceBase::GetParFancyName
std::string GetParFancyName(const int i)
Get fancy name of the Parameter.
Definition covarianceBase.h:152
@@ -1708,7 +1716,7 @@

190
191 return returnVec;
192}
-
covarianceBase::GetParName
std::string GetParName(const int i)
Get name of covariance.
Definition covarianceBase.h:139
+
covarianceBase::GetParName
std::string GetParName(const int i)
Get name of covariance.
Definition covarianceBase.h:146
@@ -1793,7 +1801,7 @@

covarianceXsec::_fTargetNuclei
std::vector< std::vector< int > > _fTargetNuclei
Definition covarianceXsec.h:136
covarianceXsec::_fNormModes
std::vector< std::vector< int > > _fNormModes
Definition covarianceXsec.h:135
covarianceXsec::_fNeutrinoFlavourUnosc
std::vector< std::vector< int > > _fNeutrinoFlavourUnosc
Definition covarianceXsec.h:138
- +
XsecNorms4
ETA - Normalisations for cross-section parameters Carrier for whether you want to apply a systematic ...
Definition Structs.h:80
XsecNorms4::name
std::string name
Name of parameters.
Definition Structs.h:83
@@ -1853,18 +1861,18 @@

434 }
435 CorrelateSteps();
436}
-
covarianceBase::_fPropVal
std::vector< double > _fPropVal
Proposed value of the parameter.
Definition covarianceBase.h:437
+
covarianceBase::_fPropVal
std::vector< double > _fPropVal
Proposed value of the parameter.
Definition covarianceBase.h:453
covarianceBase::randomize
void randomize()
"Randomize" the parameters in the covariance class for the proposed step. Used the proposal kernel an...
Definition covarianceBase.cpp:797
-
covarianceBase::_fIndivStepScale
std::vector< double > _fIndivStepScale
Individual step scale used by MCMC algorithm.
Definition covarianceBase.h:447
-
covarianceBase::LastPCAdpar
int LastPCAdpar
Index of the last param that is being decomposed.
Definition covarianceBase.h:463
+
covarianceBase::_fIndivStepScale
std::vector< double > _fIndivStepScale
Individual step scale used by MCMC algorithm.
Definition covarianceBase.h:463
+
covarianceBase::LastPCAdpar
int LastPCAdpar
Index of the last param that is being decomposed.
Definition covarianceBase.h:479
covarianceBase::TransferToPCA
void TransferToPCA()
Transfer param values from normal base to PCA base.
Definition covarianceBase.cpp:576
-
covarianceBase::fParCurr_PCA
TVectorD fParCurr_PCA
CW: Proposed parameter value in PCA base.
Definition covarianceBase.h:481
-
covarianceBase::pca
bool pca
perform PCA or not
Definition covarianceBase.h:455
+
covarianceBase::fParCurr_PCA
TVectorD fParCurr_PCA
CW: Proposed parameter value in PCA base.
Definition covarianceBase.h:497
+
covarianceBase::pca
bool pca
perform PCA or not
Definition covarianceBase.h:471
covarianceBase::CorrelateSteps
void CorrelateSteps()
Use Cholesky throw matrix for better step proposal.
Definition covarianceBase.cpp:842
-
covarianceBase::FirstPCAdpar
int FirstPCAdpar
Index of the first param that is being decomposed.
Definition covarianceBase.h:461
-
covarianceBase::_fNumParPCA
int _fNumParPCA
Number of parameters in PCA base.
Definition covarianceBase.h:459
-
covarianceBase::_fPreFitValue_PCA
std::vector< double > _fPreFitValue_PCA
Prefit value for PCA params.
Definition covarianceBase.h:473
-
covarianceBase::_fCurrVal
std::vector< double > _fCurrVal
Current value of the parameter.
Definition covarianceBase.h:435
+
covarianceBase::FirstPCAdpar
int FirstPCAdpar
Index of the first param that is being decomposed.
Definition covarianceBase.h:477
+
covarianceBase::_fNumParPCA
int _fNumParPCA
Number of parameters in PCA base.
Definition covarianceBase.h:475
+
covarianceBase::_fPreFitValue_PCA
std::vector< double > _fPreFitValue_PCA
Prefit value for PCA params.
Definition covarianceBase.h:489
+
covarianceBase::_fCurrVal
std::vector< double > _fCurrVal
Current value of the parameter.
Definition covarianceBase.h:451
@@ -2032,7 +2040,7 @@

SystType
SystType
Make an enum of systematic type recognised by covariance class.
Definition Structs.h:149
kNorm
@ kNorm
Definition Structs.h:150
kSystTypes
@ kSystTypes
Definition Structs.h:153
-
covarianceBase::_fYAMLDoc
YAML::Node _fYAMLDoc
Stores config describing systematics.
Definition covarianceBase.h:429
+
covarianceBase::_fYAMLDoc
YAML::Node _fYAMLDoc
Stores config describing systematics.
Definition covarianceBase.h:445
covarianceXsec::isFlux
std::vector< bool > isFlux
Definition covarianceXsec.h:127
@@ -2186,11 +2194,11 @@

522
523 CheckCorrectInitialisation();
524} // End
-
covarianceBase::_fUpBound
std::vector< double > _fUpBound
Upper physical bound, parameter will not be able to go beyond it.
Definition covarianceBase.h:445
-
covarianceBase::_fError
std::vector< double > _fError
Prior error on the parameter.
Definition covarianceBase.h:441
-
covarianceBase::GetNumParams
int GetNumParams()
Get total number of parameters.
Definition covarianceBase.h:200
-
covarianceBase::_fLowBound
std::vector< double > _fLowBound
Lowest physical bound, parameter will not be able to go beyond it.
Definition covarianceBase.h:443
-
covarianceBase::_fGenerated
std::vector< double > _fGenerated
Generated value of the parameter.
Definition covarianceBase.h:439
+
covarianceBase::_fUpBound
std::vector< double > _fUpBound
Upper physical bound, parameter will not be able to go beyond it.
Definition covarianceBase.h:461
+
covarianceBase::_fError
std::vector< double > _fError
Prior error on the parameter.
Definition covarianceBase.h:457
+
covarianceBase::GetNumParams
int GetNumParams()
Get total number of parameters.
Definition covarianceBase.h:208
+
covarianceBase::_fLowBound
std::vector< double > _fLowBound
Lowest physical bound, parameter will not be able to go beyond it.
Definition covarianceBase.h:459
+
covarianceBase::_fGenerated
std::vector< double > _fGenerated
Generated value of the parameter.
Definition covarianceBase.h:455
covarianceXsec::CheckCorrectInitialisation
void CheckCorrectInitialisation()
KS: Check if matrix is correctly initialised.
Definition covarianceXsec.cpp:528
covarianceXsec::NormParams
std::vector< XsecNorms4 > NormParams
Vector containing info for normalisation systematics.
Definition covarianceXsec.h:158
diff --git a/classparticle.html b/classparticle.html index eff58ebc..3f55bbc8 100644 --- a/classparticle.html +++ b/classparticle.html @@ -130,7 +130,7 @@

Detailed Description

Class particle - stores the position, velocity and personal best With functions which move particle and update velocity.

-

Definition at line 18 of file PSO.h.

+

Definition at line 17 of file PSO.h.

Constructor & Destructor Documentation

◆ particle() [1/2]

@@ -155,8 +155,8 @@

-

Definition at line 22 of file PSO.h.

-
22{};
+

Definition at line 19 of file PSO.h.

+
19{};
@@ -194,11 +194,11 @@

-

Definition at line 23 of file PSO.h.

-
23: position(pos), velocity(vel){};
+

Definition at line 20 of file PSO.h.

+
20: position(pos), velocity(vel){};
GetFromManager
Type GetFromManager(const YAML::Node &node, Type defval)
Get content of config file if node is not found take default value specified.
Definition YamlHelper.h:18
-
particle::position
std::vector< double > position
Definition PSO.h:67
-
particle::velocity
std::vector< double > velocity
Definition PSO.h:68
+
particle::position
std::vector< double > position
Definition PSO.h:64
+
particle::velocity
std::vector< double > velocity
Definition PSO.h:65
@@ -227,8 +227,8 @@

Definition at line 25 of file PSO.h.

-
25{};
+

Definition at line 22 of file PSO.h.

+
22{};
@@ -256,11 +256,11 @@

-

Definition at line 39 of file PSO.h.

-
39 {
-
40 return personal_best_position;
-
41 };
-
particle::personal_best_position
std::vector< double > personal_best_position
Definition PSO.h:71
+

Definition at line 36 of file PSO.h.

+
36 {
+
37 return personal_best_position;
+
38 };
+
particle::personal_best_position
std::vector< double > personal_best_position
Definition PSO.h:68
@@ -287,11 +287,11 @@

-

Definition at line 47 of file PSO.h.

-
47 {
-
48 return personal_best_value;
-
49 };
-
particle::personal_best_value
double personal_best_value
Definition PSO.h:69
+

Definition at line 44 of file PSO.h.

+
44 {
+
45 return personal_best_value;
+
46 };
+
particle::personal_best_value
double personal_best_value
Definition PSO.h:66
@@ -318,10 +318,10 @@

-

Definition at line 31 of file PSO.h.

-
31 {
-
32 return position;
-
33 };
+

Definition at line 28 of file PSO.h.

+
28 {
+
29 return position;
+
30 };
@@ -348,11 +348,11 @@

-

Definition at line 59 of file PSO.h.

-
59 {
-
60 return curr_value;
-
61 };
-
particle::curr_value
double curr_value
Definition PSO.h:70
+

Definition at line 56 of file PSO.h.

+
56 {
+
57 return curr_value;
+
58 };
+
particle::curr_value
double curr_value
Definition PSO.h:67
@@ -379,10 +379,10 @@

-

Definition at line 51 of file PSO.h.

-
51 {
-
52 return velocity;
-
53 };
+

Definition at line 48 of file PSO.h.

+
48 {
+
49 return velocity;
+
50 };
@@ -410,10 +410,10 @@

-

Definition at line 35 of file PSO.h.

-
35 {
-
36 personal_best_position = new_pos;
-
37 };
+

Definition at line 32 of file PSO.h.

+
32 {
+
33 personal_best_position = new_pos;
+
34 };
@@ -441,10 +441,10 @@

-

Definition at line 43 of file PSO.h.

-
43 {
-
44 personal_best_value = new_val;
-
45 };
+

Definition at line 40 of file PSO.h.

+
40 {
+
41 personal_best_value = new_val;
+
42 };
@@ -472,10 +472,10 @@

-

Definition at line 27 of file PSO.h.

-
27 {
-
28 position = new_position;
-
29 };
+

Definition at line 24 of file PSO.h.

+
24 {
+
25 position = new_position;
+
26 };
@@ -503,10 +503,10 @@

-

Definition at line 62 of file PSO.h.

-
62 {
-
63 curr_value = val;
-
64 };
+

Definition at line 59 of file PSO.h.

+
59 {
+
60 curr_value = val;
+
61 };
@@ -534,10 +534,10 @@

-

Definition at line 55 of file PSO.h.

-
55 {
-
56 velocity = new_velocity;
-
57 };
+

Definition at line 52 of file PSO.h.

+
52 {
+
53 velocity = new_velocity;
+
54 };
@@ -562,7 +562,7 @@

-

Definition at line 70 of file PSO.h.

+

Definition at line 67 of file PSO.h.

@@ -586,7 +586,7 @@

-

Definition at line 71 of file PSO.h.

+

Definition at line 68 of file PSO.h.

@@ -610,7 +610,7 @@

-

Definition at line 69 of file PSO.h.

+

Definition at line 66 of file PSO.h.

@@ -634,7 +634,7 @@

-

Definition at line 67 of file PSO.h.

+

Definition at line 64 of file PSO.h.

@@ -658,7 +658,7 @@

-

Definition at line 68 of file PSO.h.

+

Definition at line 65 of file PSO.h.

diff --git a/classsamplePDFBase.html b/classsamplePDFBase.html index c79bfab6..6ab0bef0 100644 --- a/classsamplePDFBase.html +++ b/classsamplePDFBase.html @@ -80,6 +80,9 @@
+

Class responsible for handling implementation of samples used in analysis, reweighting and returning LLH. + More...

+

#include <samplePDFBase.h>

Inheritance diagram for samplePDFBase:
@@ -98,6 +101,7 @@  samplePDFBase (double pot)   virtual ~samplePDFBase () + destructor
  virtual _int_ GetNsamples ()   @@ -173,6 +177,7 @@ double getTestStatLLH (double data, double mc)   double getTestStatLLH (const double data, const double mc, const double w2) + Calculate test statistic for a single bin. Calculation depends on setting of fTestStatistic.
  virtual void fill1DHist ()=0   @@ -208,10 +213,13 @@ std::vector< std::vector< double > > * dataSample2D   _int_ nSamples + Contains how many samples we've got.
  int nDims + KS: number of dimension for this sample.
  std::vector< std::string > SampleName + Name of Sample.
  MaCh3Modes * Modes   @@ -229,8 +237,9 @@  

Detailed Description

-
-

Definition at line 26 of file samplePDFBase.h.

+

Class responsible for handling implementation of samples used in analysis, reweighting and returning LLH.

+ +

Definition at line 27 of file samplePDFBase.h.

Constructor & Destructor Documentation

◆ samplePDFBase() [1/2]

@@ -255,8 +264,8 @@

-

Definition at line 29 of file samplePDFBase.h.

-
29{};
+

Definition at line 30 of file samplePDFBase.h.

+
30{};

@@ -287,13 +296,13 @@

11 dataSample2D = NULL;

12}
GetFromManager
Type GetFromManager(const YAML::Node &node, Type defval)
Get content of config file if node is not found take default value specified.
Definition YamlHelper.h:18
-
samplePDFBase::rnd
TRandom3 * rnd
Definition samplePDFBase.h:131
- - - - -
samplePDFBase::dataSample
std::vector< double > * dataSample
Definition samplePDFBase.h:111
-
samplePDFBase::dataSample2D
std::vector< std::vector< double > > * dataSample2D
Definition samplePDFBase.h:112
+
samplePDFBase::rnd
TRandom3 * rnd
Definition samplePDFBase.h:136
+ + +
samplePDFBase::nDims
int nDims
KS: number of dimension for this sample.
Definition samplePDFBase.h:122
+ +
samplePDFBase::dataSample
std::vector< double > * dataSample
Definition samplePDFBase.h:116
+
samplePDFBase::dataSample2D
std::vector< std::vector< double > > * dataSample2D
Definition samplePDFBase.h:117
@@ -320,6 +329,8 @@

+

destructor

+

Definition at line 14 of file samplePDFBase.cpp.

15{
16 if(dathist != NULL) delete dathist;
@@ -440,7 +451,7 @@

89 if(dathist != NULL) delete dathist;

90 dathist = binneddata;
91}
-
samplePDFBase::GetName
virtual std::string GetName() const
Definition samplePDFBase.h:35
+
samplePDFBase::GetName
virtual std::string GetName() const
Definition samplePDFBase.h:36
@@ -669,8 +680,8 @@

-

Definition at line 46 of file samplePDFBase.h.

-
46{return dathist;}
+

Definition at line 47 of file samplePDFBase.h.

+
47{return dathist;}
@@ -695,7 +706,7 @@

188 return _hPDF1D;
189}
samplePDFBase::fill1DHist
virtual void fill1DHist()=0
- + @@ -722,8 +733,8 @@

-

Definition at line 47 of file samplePDFBase.h.

-
47{return dathist2d;}
+

Definition at line 48 of file samplePDFBase.h.

+
48{return dathist2d;}
@@ -748,7 +759,7 @@

193 return _hPDF2D;
194}
samplePDFBase::fill2DHist
virtual void fill2DHist()=0
- + @@ -776,8 +787,8 @@

-

Definition at line 76 of file samplePDFBase.h.

-
76{ (void) Selection; throw MaCh3Exception(__FILE__ , __LINE__ , "Not implemented"); }
+

Definition at line 77 of file samplePDFBase.h.

+
77{ (void) Selection; throw MaCh3Exception(__FILE__ , __LINE__ , "Not implemented"); }
MaCh3Exception
Custom exception class for MaCh3 errors.
Definition MaCh3Exception.h:10
@@ -805,8 +816,8 @@

-

Definition at line 60 of file samplePDFBase.h.

-
60{return dataSample;};
+

Definition at line 61 of file samplePDFBase.h.

+
61{return dataSample;};
@@ -868,9 +879,9 @@

-

Definition at line 81 of file samplePDFBase.h.

-
81 {
-
82 (void) sample; (void) Dimension; throw MaCh3Exception(__FILE__ , __LINE__ , "Not implemented"); };
+

Definition at line 82 of file samplePDFBase.h.

+
82 {
+
83 (void) sample; (void) Dimension; throw MaCh3Exception(__FILE__ , __LINE__ , "Not implemented"); };
@@ -926,9 +937,9 @@

Definition at line 42 of file samplePDFBase.h.

-
42{ return Modes; }
-
samplePDFBase::Modes
MaCh3Modes * Modes
Definition samplePDFBase.h:122
+

Definition at line 43 of file samplePDFBase.h.

+
43{ return Modes; }
+
samplePDFBase::Modes
MaCh3Modes * Modes
Definition samplePDFBase.h:127
@@ -997,8 +1008,8 @@

-

Definition at line 35 of file samplePDFBase.h.

-
35{return "samplePDF";};
+

Definition at line 36 of file samplePDFBase.h.

+
36{return "samplePDF";};
@@ -1026,8 +1037,8 @@

-

Definition at line 62 of file samplePDFBase.h.

-
62{ (void) sample; throw MaCh3Exception(__FILE__ , __LINE__ , "Not implemented"); }
+

Definition at line 63 of file samplePDFBase.h.

+
63{ (void) sample; throw MaCh3Exception(__FILE__ , __LINE__ , "Not implemented"); }
@@ -1054,8 +1065,8 @@

-

Definition at line 63 of file samplePDFBase.h.

-
63{ throw MaCh3Exception(__FILE__ , __LINE__ , "Not implemented"); }
+

Definition at line 64 of file samplePDFBase.h.

+
64{ throw MaCh3Exception(__FILE__ , __LINE__ , "Not implemented"); }
@@ -1082,9 +1093,9 @@

-

Definition at line 34 of file samplePDFBase.h.

-
34{ return nSamples; };
- +

Definition at line 35 of file samplePDFBase.h.

+
35{ return nSamples; };
+
samplePDFBase::nSamples
_int_ nSamples
Contains how many samples we've got.
Definition samplePDFBase.h:120
@@ -1112,8 +1123,8 @@

-

Definition at line 78 of file samplePDFBase.h.

-
78{ (void) Selection; throw MaCh3Exception(__FILE__ , __LINE__ , "Not implemented");}
+

Definition at line 79 of file samplePDFBase.h.

+
79{ (void) Selection; throw MaCh3Exception(__FILE__ , __LINE__ , "Not implemented");}
@@ -1151,9 +1162,9 @@

-

Definition at line 79 of file samplePDFBase.h.

-
79 {
-
80 (void) Selection; (void) Mode; throw MaCh3Exception(__FILE__ , __LINE__ , "Not implemented"); }
+

Definition at line 80 of file samplePDFBase.h.

+
80 {
+
81 (void) Selection; (void) Mode; throw MaCh3Exception(__FILE__ , __LINE__ , "Not implemented"); }
@@ -1181,8 +1192,8 @@

-

Definition at line 37 of file samplePDFBase.h.

-
37{(void) isample; return GetLikelihood();};
+

Definition at line 38 of file samplePDFBase.h.

+
38{(void) isample; return GetLikelihood();};
samplePDFBase::GetLikelihood
virtual double GetLikelihood()=0
@@ -1223,7 +1234,7 @@

415
416 return SampleName[Sample];
417}
-
samplePDFBase::SampleName
std::vector< std::string > SampleName
Definition samplePDFBase.h:119
+
samplePDFBase::SampleName
std::vector< std::string > SampleName
Name of Sample.
Definition samplePDFBase.h:124
@@ -1298,6 +1309,16 @@

+

Calculate test statistic for a single bin. Calculation depends on setting of fTestStatistic.

+
Parameters
+ + + + +
datais data
mcis mc
w2is is Sum(w_{i}^2) (sum of weights squared), which is sigma^2_{MC stats}
+
+
+

Definition at line 222 of file samplePDFBase.cpp.

222 {
223// *************************
@@ -1353,7 +1374,7 @@

273 return stat+penalty;

274 }
275 break;
-
276 //KS: Alterantive calcaution of Barlow-Beeston following Hans Dembinski and Ahmed Abdelmottele arXiv:2206.12346v2
+
276 //KS: Alternative calculation of Barlow-Beeston following Hans Dembinski and Ahmed Abdelmottele arXiv:2206.12346v2
277 case (kDembinskiAbdelmottele):
278 {
279 //KS: code follows authors implementation from:
@@ -1414,7 +1435,7 @@

334 //KS: Pearson works on assumption that event distribution in each bin is described by a Gaussian which in our case is not fulfilled for all bins, hence use it at your own risk
335 case (kPearson):
336 {
-
337 //KS: 2 is beacuese this function returns -LLH not -2LLH
+
337 //KS: 2 is because this function returns -LLH not -2LLH
338 const double stat = (data-mc)*(data-mc)/(2*mc);
339
340 // Return the statistical
@@ -1444,7 +1465,7 @@

kIceCube
@ kIceCube
Definition Structs.h:341
kDembinskiAbdelmottele
@ kDembinskiAbdelmottele
Definition Structs.h:343
kPoisson
@ kPoisson
Definition Structs.h:339
-
samplePDFBase::fTestStatistic
TestStatistic fTestStatistic
Test statistic tells what kind of likelihood sample is using.
Definition samplePDFBase.h:102
+
samplePDFBase::fTestStatistic
TestStatistic fTestStatistic
Test statistic tells what kind of likelihood sample is using.
Definition samplePDFBase.h:107
@@ -1515,8 +1536,8 @@

-

Definition at line 77 of file samplePDFBase.h.

-
77{ (void) Selection; throw MaCh3Exception(__FILE__ , __LINE__ , "Not implemented");}
+

Definition at line 78 of file samplePDFBase.h.

+
78{ (void) Selection; throw MaCh3Exception(__FILE__ , __LINE__ , "Not implemented");}
@@ -1630,8 +1651,8 @@

466 std::cerr.rdbuf(errbuf);
467 #endif
468}
-
samplePDFBase::buf
std::streambuf * buf
Keep the cout buffer.
Definition samplePDFBase.h:105
-
samplePDFBase::errbuf
std::streambuf * errbuf
Keep the cerr buffer.
Definition samplePDFBase.h:107
+
samplePDFBase::buf
std::streambuf * buf
Keep the cout buffer.
Definition samplePDFBase.h:110
+
samplePDFBase::errbuf
std::streambuf * errbuf
Keep the cerr buffer.
Definition samplePDFBase.h:112
@@ -1909,8 +1930,8 @@

-

Definition at line 71 of file samplePDFBase.h.

-
71{(void)outtree;};
+

Definition at line 72 of file samplePDFBase.h.

+
72{(void)outtree;};
@@ -1938,8 +1959,8 @@

-

Definition at line 53 of file samplePDFBase.h.

-
53{MCthrow= mc;}
+

Definition at line 54 of file samplePDFBase.h.

+
54{MCthrow= mc;}
@@ -1983,9 +2004,9 @@

-

Definition at line 74 of file samplePDFBase.h.

-
74 {
-
75 (void) Selection; (void) BinningX; (void) BinningY; throw MaCh3Exception(__FILE__ , __LINE__ , "Not implemented");}
+

Definition at line 75 of file samplePDFBase.h.

+
75 {
+
76 (void) Selection; (void) BinningX; (void) BinningY; throw MaCh3Exception(__FILE__ , __LINE__ , "Not implemented");}
@@ -2010,7 +2031,7 @@

-

Definition at line 128 of file samplePDFBase.h.

+

Definition at line 133 of file samplePDFBase.h.

@@ -2034,7 +2055,7 @@

-

Definition at line 129 of file samplePDFBase.h.

+

Definition at line 134 of file samplePDFBase.h.

@@ -2060,7 +2081,7 @@

Definition at line 105 of file samplePDFBase.h.

+

Definition at line 110 of file samplePDFBase.h.

@@ -2084,7 +2105,7 @@

-

Definition at line 111 of file samplePDFBase.h.

+

Definition at line 116 of file samplePDFBase.h.

@@ -2108,7 +2129,7 @@

-

Definition at line 112 of file samplePDFBase.h.

+

Definition at line 117 of file samplePDFBase.h.

@@ -2132,7 +2153,7 @@

-

Definition at line 124 of file samplePDFBase.h.

+

Definition at line 129 of file samplePDFBase.h.

@@ -2156,7 +2177,7 @@

-

Definition at line 125 of file samplePDFBase.h.

+

Definition at line 130 of file samplePDFBase.h.

@@ -2182,7 +2203,7 @@

Definition at line 107 of file samplePDFBase.h.

+

Definition at line 112 of file samplePDFBase.h.

@@ -2208,7 +2229,7 @@

Definition at line 102 of file samplePDFBase.h.

+

Definition at line 107 of file samplePDFBase.h.

@@ -2232,7 +2253,7 @@

-

Definition at line 132 of file samplePDFBase.h.

+

Definition at line 137 of file samplePDFBase.h.

@@ -2256,7 +2277,7 @@

-

Definition at line 122 of file samplePDFBase.h.

+

Definition at line 127 of file samplePDFBase.h.

@@ -2280,7 +2301,9 @@

-

Definition at line 117 of file samplePDFBase.h.

+

KS: number of dimension for this sample.

+ +

Definition at line 122 of file samplePDFBase.h.

@@ -2304,7 +2327,9 @@

-

Definition at line 115 of file samplePDFBase.h.

+

Contains how many samples we've got.

+ +

Definition at line 120 of file samplePDFBase.h.

@@ -2328,7 +2353,7 @@

-

Definition at line 131 of file samplePDFBase.h.

+

Definition at line 136 of file samplePDFBase.h.

@@ -2352,7 +2377,9 @@

-

Definition at line 119 of file samplePDFBase.h.

+

Name of Sample.

+ +

Definition at line 124 of file samplePDFBase.h.

diff --git a/classsamplePDFFDBase.html b/classsamplePDFFDBase.html index 3fee41c4..f435d2e0 100644 --- a/classsamplePDFFDBase.html +++ b/classsamplePDFFDBase.html @@ -87,7 +87,7 @@
-samplePDFBase +samplePDFBase
@@ -110,6 +110,7 @@ + @@ -143,6 +144,7 @@ + @@ -214,6 +216,7 @@ +
void addData (std::vector< std::vector< double > > &data)
 
double GetLikelihood ()
 DB Multi-threaded GetLikelihood.
 
void reweight (double *oscpar)
 
 samplePDFBase (double pot)
 
virtual ~samplePDFBase ()
 destructor
 
virtual _int_ GetNsamples ()
 
double getTestStatLLH (double data, double mc)
 
double getTestStatLLH (const double data, const double mc, const double w2)
 Calculate test statistic for a single bin. Calculation depends on setting of fTestStatistic.
 
+ + + @@ -469,10 +475,10 @@

24}
kPoisson
@ kPoisson
Definition Structs.h:339
GetFromManager
Type GetFromManager(const YAML::Node &node, Type defval)
Get content of config file if node is not found take default value specified.
Definition YamlHelper.h:18
-
samplePDFBase::SampleName
std::vector< std::string > SampleName
Definition samplePDFBase.h:119
- - -
samplePDFBase::fTestStatistic
TestStatistic fTestStatistic
Test statistic tells what kind of likelihood sample is using.
Definition samplePDFBase.h:102
+
samplePDFBase::SampleName
std::vector< std::string > SampleName
Name of Sample.
Definition samplePDFBase.h:124
+
samplePDFBase::nSamples
_int_ nSamples
Contains how many samples we've got.
Definition samplePDFBase.h:120
+ +
samplePDFBase::fTestStatistic
TestStatistic fTestStatistic
Test statistic tells what kind of likelihood sample is using.
Definition samplePDFBase.h:107
samplePDFFDBase::samplePDFFD_array
double ** samplePDFFD_array
Definition samplePDFFDBase.h:204
samplePDFFDBase::samplePDFFD_data
double ** samplePDFFD_data
Definition samplePDFFDBase.h:208
@@ -565,10 +571,10 @@

1245
1246 return;
1247}
- - -
samplePDFBase::dataSample
std::vector< double > * dataSample
Definition samplePDFBase.h:111
-
samplePDFBase::dataSample2D
std::vector< std::vector< double > > * dataSample2D
Definition samplePDFBase.h:112
+ + +
samplePDFBase::dataSample
std::vector< double > * dataSample
Definition samplePDFBase.h:116
+
samplePDFBase::dataSample2D
std::vector< std::vector< double > > * dataSample2D
Definition samplePDFBase.h:117
samplePDFFDBase::XBinEdges
std::vector< double > XBinEdges
Definition samplePDFFDBase.h:200
@@ -932,7 +938,7 @@

samplePDFFDBase::ReturnKinematicParameter
virtual double ReturnKinematicParameter(std::string KinematicParamter, int iSample, int iEvent)=0
samplePDFFDBase::XsecCov
covarianceXsec * XsecCov
Definition samplePDFFDBase.h:233
samplePDFFDBase::xsec_norms
std::vector< XsecNorms4 > xsec_norms
Definition samplePDFFDBase.h:244
-
fdmc_base
Definition FDMCStruct.h:5
+
fdmc_base
constructors are same for all three so put in here
Definition FDMCStruct.h:5
fdmc_base::nEvents
int nEvents
Definition FDMCStruct.h:11
@@ -1140,7 +1146,7 @@

53 }
54 return;
55}
- + @@ -1181,7 +1187,7 @@

66 }
67 return;
68}
- + @@ -1462,8 +1468,8 @@

659 std::cout << "Set all oscillation pointers to Oscillator" << std::endl;
660}
Oscillator::retPointer
const double * retPointer(int GenNeutrinoFlavour, int DetNeutrinoFlavour, double NeutrinoEnergy, double TrueCZ)
Definition OscClass_CUDAProb3.cpp:1247
-
samplePDFBase::getNEventsInSample
virtual int getNEventsInSample(int sample)
Definition samplePDFBase.h:62
-
samplePDFBase::getNMCSamples
virtual int getNMCSamples()
Definition samplePDFBase.h:63
+
samplePDFBase::getNEventsInSample
virtual int getNEventsInSample(int sample)
Definition samplePDFBase.h:63
+
samplePDFBase::getNMCSamples
virtual int getNMCSamples()
Definition samplePDFBase.h:64
@@ -1739,6 +1745,8 @@

+

DB Multi-threaded GetLikelihood.

+

Implements samplePDFBase.

Definition at line 1375 of file samplePDFFDBase.cpp.

@@ -2878,7 +2886,7 @@

712
713 return;
714}
-
covarianceBase::retPointer
const double * retPointer(const int iParam)
DB Pointer return to param position.
Definition covarianceBase.h:196
+
covarianceBase::retPointer
const double * retPointer(const int iParam)
DB Pointer return to param position.
Definition covarianceBase.h:204
samplePDFFDBase::CalcXsecNormsBins
void CalcXsecNormsBins(int iSample)
Definition samplePDFFDBase.cpp:717
diff --git a/classsplineFDBase.html b/classsplineFDBase.html index 1dbe1256..af8d7854 100644 --- a/classsplineFDBase.html +++ b/classsplineFDBase.html @@ -1030,7 +1030,7 @@

269 }
270 // std::cout << "#----------------------------------------------------------------------------------------------------------------------------------#" << std::endl;
271}
-
covarianceBase::calcReWeight
double calcReWeight(const int bin)
What parameter Gets reweighted by what amount according to MCMC.
Definition covarianceBase.h:178
+
covarianceBase::calcReWeight
double calcReWeight(const int bin)
What parameter Gets reweighted by what amount according to MCMC.
Definition covarianceBase.h:186
splineFDBase::UniqueSystNKnots
std::vector< int > UniqueSystNKnots
Definition splineFDBase.h:104
splineFDBase::UniqueSystIndices
std::vector< int > UniqueSystIndices
Definition splineFDBase.h:103
diff --git a/covarianceBase_8cpp_source.html b/covarianceBase_8cpp_source.html index 498a10ed..c60fc4fb 100644 --- a/covarianceBase_8cpp_source.html +++ b/covarianceBase_8cpp_source.html @@ -2129,112 +2129,112 @@
_restrict_
#define _restrict_
KS: Using restrict limits the effects of pointer aliasing, aiding optimizations. While reading I foun...
Definition Structs.h:26
GetFromManager
Type GetFromManager(const YAML::Node &node, Type defval)
Get content of config file if node is not found take default value specified.
Definition YamlHelper.h:18
MaCh3Exception
Custom exception class for MaCh3 errors.
Definition MaCh3Exception.h:10
- +
ThrowParms
No idea really...
Definition ThrowParms.h:19
covarianceBase::CalcLikelihood
double CalcLikelihood()
Calc penalty term based on inverted covariance matrix.
Definition covarianceBase.cpp:1001
-
covarianceBase::_fGlobalStepScale
double _fGlobalStepScale
Global step scale applied ot all params in this class.
Definition covarianceBase.h:419
-
covarianceBase::getDiagonalError
double getDiagonalError(const int i)
Get diagonal error for ith parameter.
Definition covarianceBase.h:154
-
covarianceBase::GetParName
std::string GetParName(const int i)
Get name of covariance.
Definition covarianceBase.h:139
+
covarianceBase::_fGlobalStepScale
double _fGlobalStepScale
Global step scale applied ot all params in this class.
Definition covarianceBase.h:435
+
covarianceBase::getDiagonalError
double getDiagonalError(const int i)
Get diagonal error for ith parameter.
Definition covarianceBase.h:161
+
covarianceBase::GetParName
std::string GetParName(const int i)
Get name of covariance.
Definition covarianceBase.h:146
-
covarianceBase::par_means_prev
std::vector< double > par_means_prev
Definition covarianceBase.h:503
-
covarianceBase::_fPropVal
std::vector< double > _fPropVal
Proposed value of the parameter.
Definition covarianceBase.h:437
- -
covarianceBase::getParInit
double getParInit(const int i)
Get prior parameter value.
Definition covarianceBase.h:213
- +
covarianceBase::par_means_prev
std::vector< double > par_means_prev
Definition covarianceBase.h:519
+
covarianceBase::_fPropVal
std::vector< double > _fPropVal
Proposed value of the parameter.
Definition covarianceBase.h:453
+ +
covarianceBase::getParInit
double getParInit(const int i)
Get prior parameter value.
Definition covarianceBase.h:222
+
covarianceBase::~covarianceBase
virtual ~covarianceBase()
Destructor.
Definition covarianceBase.cpp:84
covarianceBase::setFlatPrior
void setFlatPrior(const int i, const bool eL)
Set if parameter should have flat prior or not.
Definition covarianceBase.cpp:1210
-
covarianceBase::setIndivStepScale
void setIndivStepScale(const int ParameterIndex, const double StepScale)
DB Function to set fIndivStepScale from a vector (Can be used from execs and inside covariance constr...
Definition covarianceBase.h:98
-
covarianceBase::isParameterFixed
bool isParameterFixed(const int i)
Is parameter fixed or not.
Definition covarianceBase.h:328
-
covarianceBase::fParProp_PCA
TVectorD fParProp_PCA
CW: Current parameter value in PCA base.
Definition covarianceBase.h:479
-
covarianceBase::_fUpBound
std::vector< double > _fUpBound
Upper physical bound, parameter will not be able to go beyond it.
Definition covarianceBase.h:445
+
covarianceBase::setIndivStepScale
void setIndivStepScale(const int ParameterIndex, const double StepScale)
DB Function to set fIndivStepScale from a vector (Can be used from execs and inside covariance constr...
Definition covarianceBase.h:105
+
covarianceBase::isParameterFixed
bool isParameterFixed(const int i)
Is parameter fixed or not.
Definition covarianceBase.h:344
+
covarianceBase::fParProp_PCA
TVectorD fParProp_PCA
CW: Current parameter value in PCA base.
Definition covarianceBase.h:495
+
covarianceBase::_fUpBound
std::vector< double > _fUpBound
Upper physical bound, parameter will not be able to go beyond it.
Definition covarianceBase.h:461
covarianceBase::randomize
void randomize()
"Randomize" the parameters in the covariance class for the proposed step. Used the proposal kernel an...
Definition covarianceBase.cpp:797
-
covarianceBase::_fError
std::vector< double > _fError
Prior error on the parameter.
Definition covarianceBase.h:441
-
covarianceBase::invCovMatrix
TMatrixDSym * invCovMatrix
The inverse covariance matrix.
Definition covarianceBase.h:407
-
covarianceBase::nKeptPCApars
int nKeptPCApars
Total number that remained after applying PCA Threshold.
Definition covarianceBase.h:465
-
covarianceBase::_fIndivStepScale
std::vector< double > _fIndivStepScale
Individual step scale used by MCMC algorithm.
Definition covarianceBase.h:447
-
covarianceBase::_fNames
std::vector< std::string > _fNames
ETA _fNames is set automatically in the covariance class to be something like xsec_i,...
Definition covarianceBase.h:425
-
covarianceBase::matrixName
const char * matrixName
Name of cov matrix.
Definition covarianceBase.h:403
-
covarianceBase::InvertCovMatrix
double ** InvertCovMatrix
KS: Same as above but much faster as TMatrixDSym cache miss.
Definition covarianceBase.h:409
-
covarianceBase::adaptiveCovariance
TMatrixDSym * adaptiveCovariance
Definition covarianceBase.h:504
+
covarianceBase::_fError
std::vector< double > _fError
Prior error on the parameter.
Definition covarianceBase.h:457
+
covarianceBase::invCovMatrix
TMatrixDSym * invCovMatrix
The inverse covariance matrix.
Definition covarianceBase.h:423
+
covarianceBase::nKeptPCApars
int nKeptPCApars
Total number that remained after applying PCA Threshold.
Definition covarianceBase.h:481
+
covarianceBase::_fIndivStepScale
std::vector< double > _fIndivStepScale
Individual step scale used by MCMC algorithm.
Definition covarianceBase.h:463
+
covarianceBase::_fNames
std::vector< std::string > _fNames
ETA _fNames is set automatically in the covariance class to be something like xsec_i,...
Definition covarianceBase.h:441
+
covarianceBase::matrixName
const char * matrixName
Name of cov matrix.
Definition covarianceBase.h:419
+
covarianceBase::InvertCovMatrix
double ** InvertCovMatrix
KS: Same as above but much faster as TMatrixDSym cache miss.
Definition covarianceBase.h:425
+
covarianceBase::adaptiveCovariance
TMatrixDSym * adaptiveCovariance
Definition covarianceBase.h:520
covarianceBase::throwParCurr
void throwParCurr(const double mag=1.)
Helper function to throw the current parameter by mag sigma. Can study bias in MCMC with this; put di...
Definition covarianceBase.cpp:941
covarianceBase::covarianceBase
covarianceBase(const std::vector< std::string > &YAMLFile, const char *name, double threshold=-1, int FirstPCAdpar=-999, int LastPCAdpar=-999)
ETA - constructor for a YAML file.
Definition covarianceBase.cpp:13
covarianceBase::updateAdaptiveCovariance
void updateAdaptiveCovariance()
HW: Update throw matrix used for proposal.
Definition covarianceBase.cpp:1441
-
covarianceBase::TransferMatT
TMatrixD TransferMatT
Matrix used to converting from normal base to PCA base.
Definition covarianceBase.h:477
-
covarianceBase::TransferMat
TMatrixD TransferMat
Matrix used to converting from PCA base to normal base.
Definition covarianceBase.h:475
-
covarianceBase::LastPCAdpar
int LastPCAdpar
Index of the last param that is being decomposed.
Definition covarianceBase.h:463
+
covarianceBase::TransferMatT
TMatrixD TransferMatT
Matrix used to converting from normal base to PCA base.
Definition covarianceBase.h:493
+
covarianceBase::TransferMat
TMatrixD TransferMat
Matrix used to converting from PCA base to normal base.
Definition covarianceBase.h:491
+
covarianceBase::LastPCAdpar
int LastPCAdpar
Index of the last param that is being decomposed.
Definition covarianceBase.h:479
covarianceBase::setCovMatrix
void setCovMatrix(TMatrixDSym *cov)
Set covariance matrix.
Definition covarianceBase.cpp:504
-
covarianceBase::setName
void setName(const char *name)
Set matrix name.
Definition covarianceBase.h:66
-
covarianceBase::random_number
TRandom3 ** random_number
KS: Set Random numbers for each thread so each thread has different seed.
Definition covarianceBase.h:412
-
covarianceBase::getProposed
std::vector< double > getProposed() const
Definition covarianceBase.cpp:614
+
covarianceBase::setName
void setName(const char *name)
Set matrix name.
Definition covarianceBase.h:67
+
covarianceBase::random_number
TRandom3 ** random_number
KS: Set Random numbers for each thread so each thread has different seed.
Definition covarianceBase.h:428
+
covarianceBase::getProposed
std::vector< double > getProposed() const
Get vector of all proposed parameter values.
Definition covarianceBase.cpp:614
covarianceBase::MatrixVectorMulti
void MatrixVectorMulti(double *_restrict_ VecMulti, double **_restrict_ matrix, const double *_restrict_ vector, const int n)
KS: Custom function to perform multiplication of matrix and vector with multithreading.
Definition covarianceBase.cpp:1230
covarianceBase::TransferToPCA
void TransferToPCA()
Transfer param values from normal base to PCA base.
Definition covarianceBase.cpp:576
covarianceBase::TransferToParam
void TransferToParam()
Transfer param values from PCA base to normal base.
Definition covarianceBase.cpp:595
covarianceBase::setParCurrProp
void setParCurrProp(const int i, const double val)
Set current parameter value.
Definition covarianceBase.cpp:778
-
covarianceBase::GetParFancyName
std::string GetParFancyName(const int i)
Get fancy name of the Parameter.
Definition covarianceBase.h:145
-
covarianceBase::covMatrix
TMatrixDSym * covMatrix
The covariance matrix.
Definition covarianceBase.h:405
-
covarianceBase::throwMatrix
TMatrixDSym * throwMatrix
Definition covarianceBase.h:488
-
covarianceBase::randParams
double * randParams
Random number taken from gaussian around prior error used for corr_throw.
Definition covarianceBase.h:415
+
covarianceBase::GetParFancyName
std::string GetParFancyName(const int i)
Get fancy name of the Parameter.
Definition covarianceBase.h:152
+
covarianceBase::covMatrix
TMatrixDSym * covMatrix
The covariance matrix.
Definition covarianceBase.h:421
+
covarianceBase::throwMatrix
TMatrixDSym * throwMatrix
Definition covarianceBase.h:504
+
covarianceBase::randParams
double * randParams
Random number taken from gaussian around prior error used for corr_throw.
Definition covarianceBase.h:431
covarianceBase::printNominalCurrProp
void printNominalCurrProp()
Print nominal, current and proposed value for each parameter.
Definition covarianceBase.cpp:978
-
covarianceBase::getName
const char * getName()
Get name of covariance.
Definition covarianceBase.h:136
-
covarianceBase::_fPreFitValue
std::vector< double > _fPreFitValue
Parameter value dictated by the prior model. Based on it penalty term is calculated.
Definition covarianceBase.h:433
+
covarianceBase::getName
const char * getName()
Get name of covariance.
Definition covarianceBase.h:143
+
covarianceBase::_fPreFitValue
std::vector< double > _fPreFitValue
Parameter value dictated by the prior model. Based on it penalty term is calculated.
Definition covarianceBase.h:449
covarianceBase::ReserveMemory
void ReserveMemory(const int size)
Initialise vectors with parameters information.
Definition covarianceBase.cpp:526
covarianceBase::MatrixVectorMultiSingle
double MatrixVectorMultiSingle(double **_restrict_ matrix, const double *_restrict_ vector, const int Length, const int i)
KS: Custom function to perform multiplication of matrix and single element which is thread safe.
Definition covarianceBase.cpp:1247
-
covarianceBase::corr_throw
double * corr_throw
Result of multiplication of Cholesky matrix and randParams.
Definition covarianceBase.h:417
-
covarianceBase::fParSigma_PCA
std::vector< double > fParSigma_PCA
Tells if parameter is fixed in PCA base or not.
Definition covarianceBase.h:483
-
covarianceBase::size
int size
Total number of parmas, deprecated, please don't use it.
Definition covarianceBase.h:401
+
covarianceBase::corr_throw
double * corr_throw
Result of multiplication of Cholesky matrix and randParams.
Definition covarianceBase.h:433
+
covarianceBase::fParSigma_PCA
std::vector< double > fParSigma_PCA
Tells if parameter is fixed in PCA base or not.
Definition covarianceBase.h:499
+
covarianceBase::size
int size
Total number of parmas, deprecated, please don't use it.
Definition covarianceBase.h:417
covarianceBase::updateThrowMatrix
void updateThrowMatrix(TMatrixDSym *cov)
Definition covarianceBase.cpp:1388
covarianceBase::setStepScale
void setStepScale(const double scale)
Set global step scale for covariance object.
Definition covarianceBase.cpp:1132
-
covarianceBase::use_adaptive
bool use_adaptive
HW: Do we use adaptive MCMC or not.
Definition covarianceBase.h:498
+
covarianceBase::use_adaptive
bool use_adaptive
HW: Do we use adaptive MCMC or not.
Definition covarianceBase.h:514
covarianceBase::RandomConfiguration
void RandomConfiguration()
Randomly throw the parameters in their 1 sigma range.
Definition covarianceBase.cpp:730
covarianceBase::makeClosestPosDef
void makeClosestPosDef(TMatrixDSym *cov)
HW: Finds closest possible positive definite matrix in Frobenius Norm ||.||_frob Where ||X||_frob=sqr...
Definition covarianceBase.cpp:1520
covarianceBase::ConstructPCA
void ConstructPCA()
CW: Calculate eigen values, prepare transition matrices and remove param based on defined threshold.
Definition covarianceBase.cpp:118
-
covarianceBase::_fLowBound
std::vector< double > _fLowBound
Lowest physical bound, parameter will not be able to go beyond it.
Definition covarianceBase.h:443
-
covarianceBase::_fYAMLDoc
YAML::Node _fYAMLDoc
Stores config describing systematics.
Definition covarianceBase.h:429
+
covarianceBase::_fLowBound
std::vector< double > _fLowBound
Lowest physical bound, parameter will not be able to go beyond it.
Definition covarianceBase.h:459
+
covarianceBase::_fYAMLDoc
YAML::Node _fYAMLDoc
Stores config describing systematics.
Definition covarianceBase.h:445
covarianceBase::proposeStep
virtual void proposeStep()
Generate a new proposed state.
Definition covarianceBase.cpp:786
-
covarianceBase::_fFancyNames
std::vector< std::string > _fFancyNames
Fancy name for example rather than xsec_0 it is MAQE, useful for human reading.
Definition covarianceBase.h:427
+
covarianceBase::_fFancyNames
std::vector< std::string > _fFancyNames
Fancy name for example rather than xsec_0 it is MAQE, useful for human reading.
Definition covarianceBase.h:443
covarianceBase::setSingleParameter
void setSingleParameter(const int parNo, const double parVal)
Definition covarianceBase.cpp:769
-
covarianceBase::_fGenerated
std::vector< double > _fGenerated
Generated value of the parameter.
Definition covarianceBase.h:439
+
covarianceBase::_fGenerated
std::vector< double > _fGenerated
Generated value of the parameter.
Definition covarianceBase.h:455
covarianceBase::GetLikelihood
virtual double GetLikelihood()
Return CalcLikelihood if some params were thrown out of boundary return LARGE_LOGL
Definition covarianceBase.cpp:1040
-
covarianceBase::PrintLength
unsigned int PrintLength
KS: This is used when printing parameters, sometimes we have super long parameters name,...
Definition covarianceBase.h:422
+
covarianceBase::PrintLength
unsigned int PrintLength
KS: This is used when printing parameters, sometimes we have super long parameters name,...
Definition covarianceBase.h:438
covarianceBase::acceptStep
void acceptStep()
Accepted this step.
Definition covarianceBase.cpp:890
covarianceBase::setParameters
void setParameters(const std::vector< double > &pars={})
Set parameter values using vector, it has to have same size as covariance class.
Definition covarianceBase.cpp:1067
covarianceBase::throwParameters
void throwParameters()
Throw the parameters according to the covariance matrix. This shouldn't be used in MCMC code ase it c...
Definition covarianceBase.cpp:675
-
covarianceBase::par_means
std::vector< double > par_means
Definition covarianceBase.h:502
-
covarianceBase::fParCurr_PCA
TVectorD fParCurr_PCA
CW: Proposed parameter value in PCA base.
Definition covarianceBase.h:481
+
covarianceBase::par_means
std::vector< double > par_means
Definition covarianceBase.h:518
+
covarianceBase::fParCurr_PCA
TVectorD fParCurr_PCA
CW: Proposed parameter value in PCA base.
Definition covarianceBase.h:497
covarianceBase::setPar
void setPar(const int i, const double val)
Set all the covariance matrix parameters to a user-defined value.
Definition covarianceBase.cpp:563
covarianceBase::SetBranches
void SetBranches(TTree &tree, bool SaveProposal=false)
set branches for output file
Definition covarianceBase.cpp:1104
covarianceBase::toggleFixParameter
void toggleFixParameter(const int i)
fix parameter at prior values
Definition covarianceBase.cpp:1157
covarianceBase::SaveUpdatedMatrixConfig
void SaveUpdatedMatrixConfig()
KS: After step scale, prefit etc. value were modified save this modified config.
Definition covarianceBase.cpp:1608
-
covarianceBase::pca
bool pca
perform PCA or not
Definition covarianceBase.h:455
-
covarianceBase::throwMatrix_CholDecomp
TMatrixD * throwMatrix_CholDecomp
Definition covarianceBase.h:489
+
covarianceBase::pca
bool pca
perform PCA or not
Definition covarianceBase.h:471
+
covarianceBase::throwMatrix_CholDecomp
TMatrixD * throwMatrix_CholDecomp
Definition covarianceBase.h:505
covarianceBase::CorrelateSteps
void CorrelateSteps()
Use Cholesky throw matrix for better step proposal.
Definition covarianceBase.cpp:842
-
covarianceBase::FirstPCAdpar
int FirstPCAdpar
Index of the first param that is being decomposed.
Definition covarianceBase.h:461
+
covarianceBase::FirstPCAdpar
int FirstPCAdpar
Index of the first param that is being decomposed.
Definition covarianceBase.h:477
covarianceBase::init
void init(const char *name, const char *file)
Initialisation of the class using matrix stored in the ROOT file.
Definition covarianceBase.cpp:252
covarianceBase::GetCorrelationMatrix
TH2D * GetCorrelationMatrix()
KS: Convert covariance matrix to correlation matrix and return TH2D which can be used for fancy plott...
Definition covarianceBase.cpp:1579
covarianceBase::CheckBounds
virtual int CheckBounds()
Check if parameters were proposed outside physical boundary.
Definition covarianceBase.cpp:1025
covarianceBase::initialiseNewAdaptiveChain
void initialiseNewAdaptiveChain()
HW: Truly Adaptive Stuff.
Definition covarianceBase.cpp:1485
-
covarianceBase::_fNumParPCA
int _fNumParPCA
Number of parameters in PCA base.
Definition covarianceBase.h:459
-
covarianceBase::eigen_vectors
TMatrixD eigen_vectors
Eigen vectors only of params which are being decomposed.
Definition covarianceBase.h:469
-
covarianceBase::_fNumPar
int _fNumPar
Number of systematic parameters.
Definition covarianceBase.h:431
-
covarianceBase::throwMatrixCholDecomp
double ** throwMatrixCholDecomp
Throw matrix that is being used in the fit, much faster as TMatrixDSym cache miss.
Definition covarianceBase.h:491
+
covarianceBase::_fNumParPCA
int _fNumParPCA
Number of parameters in PCA base.
Definition covarianceBase.h:475
+
covarianceBase::eigen_vectors
TMatrixD eigen_vectors
Eigen vectors only of params which are being decomposed.
Definition covarianceBase.h:485
+
covarianceBase::_fNumPar
int _fNumPar
Number of systematic parameters.
Definition covarianceBase.h:447
+
covarianceBase::throwMatrixCholDecomp
double ** throwMatrixCholDecomp
Throw matrix that is being used in the fit, much faster as TMatrixDSym cache miss.
Definition covarianceBase.h:507
covarianceBase::printIndivStepScale
void printIndivStepScale()
Print step scale for each parameter.
Definition covarianceBase.cpp:1279
-
covarianceBase::eigen_values
TVectorD eigen_values
Eigen value only of particles which are being decomposed.
Definition covarianceBase.h:467
+
covarianceBase::eigen_values
TVectorD eigen_values
Eigen value only of particles which are being decomposed.
Definition covarianceBase.h:483
covarianceBase::saveAdaptiveToFile
void saveAdaptiveToFile(TString outFileName, TString systematicName)
Definition covarianceBase.cpp:1500
-
covarianceBase::_fFlatPrior
std::vector< bool > _fFlatPrior
Whether to apply flat prior or not.
Definition covarianceBase.h:449
+
covarianceBase::_fFlatPrior
std::vector< bool > _fFlatPrior
Whether to apply flat prior or not.
Definition covarianceBase.h:465
covarianceBase::toggleFixAllParameters
void toggleFixAllParameters()
fix parameters at prior values
Definition covarianceBase.cpp:1144
-
covarianceBase::eigen_threshold
double eigen_threshold
CW: Threshold based on which we remove parameters in eigen base.
Definition covarianceBase.h:457
+
covarianceBase::eigen_threshold
double eigen_threshold
CW: Threshold based on which we remove parameters in eigen base.
Definition covarianceBase.h:473
covarianceBase::getNominalArray
virtual std::vector< double > getNominalArray()
Definition covarianceBase.cpp:1566
covarianceBase::MakePosDef
void MakePosDef(TMatrixDSym *cov=nullptr)
Make matrix positive definite by adding small values to diagonal, necessary for inverting matrix.
Definition covarianceBase.cpp:1290
-
covarianceBase::_fPreFitValue_PCA
std::vector< double > _fPreFitValue_PCA
Prefit value for PCA params.
Definition covarianceBase.h:473
-
covarianceBase::_fCurrVal
std::vector< double > _fCurrVal
Current value of the parameter.
Definition covarianceBase.h:435
-
covarianceBase::isDecomposed_PCA
std::vector< int > isDecomposed_PCA
If param is decomposed this will return -1, if not this will return enumerator to param in normal bas...
Definition covarianceBase.h:485
-
covarianceBase::eigen_values_master
std::vector< double > eigen_values_master
Eigen values which have dimension equal to _fNumParPCA, and can be used in CorrelateSteps.
Definition covarianceBase.h:471
+
covarianceBase::_fPreFitValue_PCA
std::vector< double > _fPreFitValue_PCA
Prefit value for PCA params.
Definition covarianceBase.h:489
+
covarianceBase::_fCurrVal
std::vector< double > _fCurrVal
Current value of the parameter.
Definition covarianceBase.h:451
+
covarianceBase::isDecomposed_PCA
std::vector< int > isDecomposed_PCA
If param is decomposed this will return -1, if not this will return enumerator to param in normal bas...
Definition covarianceBase.h:501
+
covarianceBase::eigen_values_master
std::vector< double > eigen_values_master
Eigen values which have dimension equal to _fNumParPCA, and can be used in CorrelateSteps.
Definition covarianceBase.h:487
covarianceBase::printNominal
void printNominal()
Print nominal value for every parameter.
Definition covarianceBase.cpp:970
covarianceBase::setThrowMatrix
void setThrowMatrix(TMatrixDSym *cov)
Definition covarianceBase.cpp:1345
covarianceBase::throwParProp
void throwParProp(const double mag=1.)
Throw the proposed parameter by mag sigma. Should really just have the user specify this throw by hav...
Definition covarianceBase.cpp:914
covarianceBase::throwNominal
void throwNominal(const bool nomValues=false, const int seed=0)
Throw nominal values.
Definition covarianceBase.cpp:622
- +
_LARGE_LOGL_
#define _LARGE_LOGL_
Large Likelihood is used it parameter go out of physical boundary, this indicates in MCMC that such s...
Definition covarianceBase.h:11
MaCh3Utils::GetNThreads
int GetNThreads()
number of threads which we need for example for TRandom3
Definition CovarianceUtils.h:32
diff --git a/covarianceBase_8h_source.html b/covarianceBase_8h_source.html index 3b124179..f72440bf 100644 --- a/covarianceBase_8h_source.html +++ b/covarianceBase_8h_source.html @@ -117,327 +117,320 @@
40 covarianceBase(const std::vector<std::string>& YAMLFile, const char *name, double threshold = -1, int FirstPCAdpar = -999, int LastPCAdpar = -999);
44 covarianceBase(const char *name, const char *file);
49 covarianceBase(const char *name, const char *file, int seed);
-
56 covarianceBase(const char *name, const char *file, int seed, double threshold, int FirstPCAdpar, int LastPCAdpar);
-
58 virtual ~covarianceBase();
-
59
-
60 // Setters
-
61 // ETA - maybe need to add checks to index on the setters? i.e. if( i > _fPropVal.size()){throw;}
-
64 void setCovMatrix(TMatrixDSym *cov);
-
66 void setName(const char *name) { matrixName = name; }
-
69 void setParName(int i, char *name) { _fNames.at(i) = std::string(name); }
-
70 void setSingleParameter(const int parNo, const double parVal);
-
73 void setPar(const int i, const double val);
-
76 void setParCurrProp(const int i, const double val);
-
-
78 void setParProp(const int i, const double val) {
-
79 _fPropVal[i] = val;
-
80 if (pca) TransferToPCA();
-
81 }
+
57 covarianceBase(const char *name, const char *file, int seed, double threshold, int FirstPCAdpar, int LastPCAdpar);
+
59 virtual ~covarianceBase();
+
60
+
61 // Setters
+
62 // ETA - maybe need to add checks to index on the setters? i.e. if( i > _fPropVal.size()){throw;}
+
65 void setCovMatrix(TMatrixDSym *cov);
+
67 void setName(const char *name) { matrixName = name; }
+
71 void setParName(int i, char *name) { _fNames.at(i) = std::string(name); }
+
72 void setSingleParameter(const int parNo, const double parVal);
+
76 void setPar(const int i, const double val);
+
80 void setParCurrProp(const int i, const double val);
+
+
83 void setParProp(const int i, const double val) {
+
84 _fPropVal[i] = val;
+
85 if (pca) TransferToPCA();
+
86 }
-
84 void setParameters(const std::vector<double>& pars = {});
-
88 void setFlatPrior(const int i, const bool eL);
-
89
-
91 void SetBranches(TTree &tree, bool SaveProposal = false);
-
94 void setStepScale(const double scale);
-
98 void setIndivStepScale(const int ParameterIndex, const double StepScale){ _fIndivStepScale.at(ParameterIndex) = StepScale; }
-
101 void setIndivStepScale(const std::vector<double>& stepscale);
-
103 inline void setPrintLength(const unsigned int PriLen) { PrintLength = PriLen; }
-
104
-
106 void SaveUpdatedMatrixConfig();
-
107
-
109 void throwParProp(const double mag = 1.);
-
110
-
112 void throwParCurr(const double mag = 1.);
-
114 void throwParameters();
-
116 void throwNominal(const bool nomValues = false, const int seed = 0);
-
118 void RandomConfiguration();
-
119
-
121 virtual int CheckBounds();
-
123 double CalcLikelihood();
-
125 virtual double GetLikelihood();
-
126
-
128 TMatrixDSym *getCovMatrix() { return covMatrix; }
-
130 TMatrixDSym *getInvCovMatrix() { return invCovMatrix; }
-
133 inline bool getFlatPrior(const int i) { return _fFlatPrior[i]; }
-
134
-
136 const char *getName() { return matrixName; }
-
139 std::string GetParName(const int i) {return _fNames[i];}
-
142 const char* GetParName(const int i) const { return _fNames[i].c_str(); }
-
145 std::string GetParFancyName(const int i) {return _fFancyNames[i];}
-
148 const char* GetParFancyName(const int i) const { return _fFancyNames[i].c_str(); }
-
150 std::string getInputFile() const { return inputFile; }
-
151
-
154 inline double getDiagonalError(const int i) { return std::sqrt((*covMatrix)(i,i)); }
-
155
-
156 // Adaptive Step Tuning Stuff
-
157 void resetIndivStepScale();
-
158 void useSeparateThrowMatrix(TString throwMatrixName, TString throwMatrixFile, TString parameterMeansName="");
-
159 void useSeparateThrowMatrix();
-
160 void saveAdaptiveToFile(TString outFileName, TString systematicName);
-
161
-
162 void setThrowMatrix(TMatrixDSym *cov);
-
163 void updateThrowMatrix(TMatrixDSym *cov);
-
-
164 inline void setNumberOfSteps(const int nsteps) {
-
165 total_steps = nsteps;
-
166 if(total_steps >= lower_adapt) resetIndivStepScale();
-
167 }
+
89 void setParameters(const std::vector<double>& pars = {});
+
93 void setFlatPrior(const int i, const bool eL);
+
94
+
98 void SetBranches(TTree &tree, bool SaveProposal = false);
+
101 void setStepScale(const double scale);
+
105 void setIndivStepScale(const int ParameterIndex, const double StepScale){ _fIndivStepScale.at(ParameterIndex) = StepScale; }
+
108 void setIndivStepScale(const std::vector<double>& stepscale);
+
110 inline void setPrintLength(const unsigned int PriLen) { PrintLength = PriLen; }
+
111
+
113 void SaveUpdatedMatrixConfig();
+
114
+
116 void throwParProp(const double mag = 1.);
+
117
+
119 void throwParCurr(const double mag = 1.);
+
121 void throwParameters();
+
123 void throwNominal(const bool nomValues = false, const int seed = 0);
+
125 void RandomConfiguration();
+
126
+
128 virtual int CheckBounds();
+
130 double CalcLikelihood();
+
132 virtual double GetLikelihood();
+
133
+
135 TMatrixDSym *getCovMatrix() { return covMatrix; }
+
137 TMatrixDSym *getInvCovMatrix() { return invCovMatrix; }
+
140 inline bool getFlatPrior(const int i) { return _fFlatPrior[i]; }
+
141
+
143 const char *getName() { return matrixName; }
+
146 std::string GetParName(const int i) {return _fNames[i];}
+
149 const char* GetParName(const int i) const { return _fNames[i].c_str(); }
+
152 std::string GetParFancyName(const int i) {return _fFancyNames[i];}
+
155 const char* GetParFancyName(const int i) const { return _fFancyNames[i].c_str(); }
+
157 std::string getInputFile() const { return inputFile; }
+
158
+
161 inline double getDiagonalError(const int i) { return std::sqrt((*covMatrix)(i,i)); }
+
162
+
163 // Adaptive Step Tuning Stuff
+
164 void resetIndivStepScale();
+
165 void useSeparateThrowMatrix(TString throwMatrixName, TString throwMatrixFile, TString parameterMeansName="");
+
166 void useSeparateThrowMatrix();
+
167 void saveAdaptiveToFile(TString outFileName, TString systematicName);
+
168
+
169 void setThrowMatrix(TMatrixDSym *cov);
+
170 void updateThrowMatrix(TMatrixDSym *cov);
+
+
171 inline void setNumberOfSteps(const int nsteps) {
+
172 total_steps = nsteps;
+
173 if(total_steps >= lower_adapt) resetIndivStepScale();
+
174 }
-
169 inline void setAdaptiveThresholds(const int low_threshold = 10000, const int up_threshold = 1000000){lower_adapt=low_threshold; upper_adapt = up_threshold;}
-
170
-
171 inline TMatrixDSym *getThrowMatrix(){return throwMatrix;}
-
172 inline TMatrixD *getThrowMatrix_CholDecomp(){return throwMatrix_CholDecomp;}
-
173 inline std::vector<double> getParameterMeans(){return par_means;}
-
175 TH2D* GetCorrelationMatrix();
-
176
-
-
178 inline double calcReWeight(const int bin) {
-
179 if (bin >= 0 && bin < _fNumPar) {
-
180 return _fPropVal[bin];
-
181 } else {
-
182 MACH3LOG_WARN("Specified bin is <= 0 OR bin > npar!");
-
183 MACH3LOG_WARN("bin = {}, npar = {}", bin, _fNumPar);
-
184 MACH3LOG_WARN("This won't ruin much that this step in the MCMC, but does indicate something wrong in memory!");
-
185 return 1.0;
-
186 }
-
187 return 1.0;
-
188 }
+
176 inline void setAdaptiveThresholds(const int low_threshold = 10000, const int up_threshold = 1000000){lower_adapt=low_threshold; upper_adapt = up_threshold;}
+
177
+
178 inline TMatrixDSym *getThrowMatrix(){return throwMatrix;}
+
179 inline TMatrixD *getThrowMatrix_CholDecomp(){return throwMatrix_CholDecomp;}
+
180 inline std::vector<double> getParameterMeans(){return par_means;}
+
182 TH2D* GetCorrelationMatrix();
+
183
+
+
186 inline double calcReWeight(const int bin) {
+
187 if (bin >= 0 && bin < _fNumPar) {
+
188 return _fPropVal[bin];
+
189 } else {
+
190 MACH3LOG_WARN("Specified bin is <= 0 OR bin > npar!");
+
191 MACH3LOG_WARN("bin = {}, npar = {}", bin, _fNumPar);
+
192 MACH3LOG_WARN("This won't ruin much that this step in the MCMC, but does indicate something wrong in memory!");
+
193 return 1.0;
+
194 }
+
195 return 1.0;
+
196 }
-
189 //========
-
190 //ETA - This might be a bit squiffy? If the vector gots moved from say a
-
191 //push_back then the pointer is no longer valid... maybe need a better
-
192 //way to deal with this? It was fine before when the return was to an
-
193 //element of a new array. There must be a clever C++ way to be careful
-
194 //========
-
196 inline const double* retPointer(const int iParam) {return &(_fPropVal.data()[iParam]);}
-
197
-
198 //Some Getters
-
200 inline int GetNumParams() {return _fNumPar;}
-
201 virtual std::vector<double> getNominalArray();
-
202 std::vector<double> getPreFitValues(){return _fPreFitValue;}
-
203 std::vector<double> getGeneratedValues(){return _fGenerated;}
-
204 std::vector<double> getProposed() const;
-
207 inline double getParProp(const int i) { return _fPropVal[i]; }
-
210 inline double getParCurr(const int i) { return _fCurrVal[i]; }
-
213 inline double getParInit(const int i) { return _fPreFitValue[i]; }
-
214
-
215 virtual double getNominal(const int i) { return getParInit(i); }
-
216 inline double GetGenerated(const int i) { return _fGenerated[i];}
-
219 inline double GetUpperBound(const int i){ return _fUpBound[i];}
-
222 inline double GetLowerBound(const int i){ return _fLowBound[i]; }
-
225 inline double GetIndivStepScale(const int ParameterIndex){return _fIndivStepScale.at(ParameterIndex); }
-
-
228 inline double getParProp_PCA(const int i) {
-
229 if (!pca) { MACH3LOG_ERROR("Am not running in PCA mode"); throw; }
-
230 return fParProp_PCA(i);
-
231 }
+
197 //========
+
198 //ETA - This might be a bit squiffy? If the vector gots moved from say a
+
199 //push_back then the pointer is no longer valid... maybe need a better
+
200 //way to deal with this? It was fine before when the return was to an
+
201 //element of a new array. There must be a clever C++ way to be careful
+
202 //========
+
204 inline const double* retPointer(const int iParam) {return &(_fPropVal.data()[iParam]);}
+
205
+
206 //Some Getters
+
208 inline int GetNumParams() {return _fNumPar;}
+
209 virtual std::vector<double> getNominalArray();
+
210 std::vector<double> getPreFitValues(){return _fPreFitValue;}
+
211 std::vector<double> getGeneratedValues(){return _fGenerated;}
+
213 std::vector<double> getProposed() const;
+
216 inline double getParProp(const int i) { return _fPropVal[i]; }
+
219 inline double getParCurr(const int i) { return _fCurrVal[i]; }
+
222 inline double getParInit(const int i) { return _fPreFitValue[i]; }
+
225 virtual double getNominal(const int i) { return getParInit(i); }
+
228 inline double GetGenerated(const int i) { return _fGenerated[i];}
+
231 inline double GetUpperBound(const int i){ return _fUpBound[i];}
+
234 inline double GetLowerBound(const int i){ return _fLowBound[i]; }
+
237 inline double GetIndivStepScale(const int ParameterIndex){return _fIndivStepScale.at(ParameterIndex); }
+
+
240 inline double getParProp_PCA(const int i) {
+
241 if (!pca) { MACH3LOG_ERROR("Am not running in PCA mode"); throw; }
+
242 return fParProp_PCA(i);
+
243 }
-
232
-
-
235 inline double getParCurr_PCA(const int i) {
-
236 if (!pca) { MACH3LOG_ERROR("Am not running in PCA mode"); throw; }
-
237 return fParCurr_PCA(i);
-
238 }
-
-
239
-
-
242 inline bool isParameterFixedPCA(const int i) {
-
243 if (fParSigma_PCA[i] < 0) { return true; }
-
244 else { return false; }
-
245 }
-
-
246
+
244
-
247 inline const TMatrixD getTransferMatrix() {
+
247 inline double getParCurr_PCA(const int i) {
248 if (!pca) { MACH3LOG_ERROR("Am not running in PCA mode"); throw; }
-
249 return TransferMat;
+
249 return fParCurr_PCA(i);
250 }
251
-
-
252 inline const TMatrixD getEigenVectors() {
-
253 if (!pca) { MACH3LOG_ERROR("Am not running in PCA mode"); throw; }
-
254 return eigen_vectors;
-
255 }
+
+
254 inline bool isParameterFixedPCA(const int i) {
+
255 if (fParSigma_PCA[i] < 0) { return true; }
+
256 else { return false; }
+
257 }
-
256
-
-
257 inline const TVectorD getEigenValues() {
-
258 if (!pca) { MACH3LOG_ERROR("Am not running in PCA mode"); throw; }
-
259 return eigen_values;
-
260 }
+
+
259 inline const TMatrixD getTransferMatrix() {
+
260 if (!pca) { MACH3LOG_ERROR("Am not running in PCA mode"); throw; }
+
261 return TransferMat;
+
262 }
-
261
-
-
262 inline const std::vector<double> getEigenValuesMaster() {
-
263 if (!pca) { MACH3LOG_ERROR("Am not running in PCA mode"); throw; }
-
264 return eigen_values_master;
-
265 }
+
+
264 inline const TMatrixD getEigenVectors() {
+
265 if (!pca) { MACH3LOG_ERROR("Am not running in PCA mode"); throw; }
+
266 return eigen_vectors;
+
267 }
-
266
-
-
267 inline void setParProp_PCA(const int i, const double value) {
-
268 if (!pca) { MACH3LOG_ERROR("Am not running in PCA mode"); throw; }
-
269 fParProp_PCA(i) = value;
-
270 // And then transfer back to the parameter basis
-
271 TransferToParam();
+
+
269 inline const TVectorD getEigenValues() {
+
270 if (!pca) { MACH3LOG_ERROR("Am not running in PCA mode"); throw; }
+
271 return eigen_values;
272 }
-
273
-
274 inline void setParCurr_PCA(const int i, const double value) {
+
274 inline const std::vector<double> getEigenValuesMaster() {
275 if (!pca) { MACH3LOG_ERROR("Am not running in PCA mode"); throw; }
-
276 fParCurr_PCA(i) = value;
-
277 // And then transfer back to the parameter basis
-
278 TransferToParam();
-
279 }
+
276 return eigen_values_master;
+
277 }
-
280
-
-
283 inline void setParameters_PCA(const std::vector<double> &pars) {
-
284 if (!pca) { MACH3LOG_ERROR("Am not running in PCA mode"); throw; }
-
285 if (pars.size() != size_t(_fNumParPCA)) {
-
286 MACH3LOG_ERROR("Warning: parameter arrays of incompatible size! Not changing parameters! {} has size {} but was expecting {}", matrixName, pars.size(), _fNumPar);
-
287 throw;
-
288 }
-
289 unsigned int parsSize = pars.size();
-
290 for (unsigned int i = 0; i < parsSize; i++) {
-
291 fParProp_PCA(i) = pars[i];
-
292 }
-
293 //KS: Transfer to normal base
+
+
281 inline void setParProp_PCA(const int i, const double value) {
+
282 if (!pca) { MACH3LOG_ERROR("Am not running in PCA mode"); throw; }
+
283 fParProp_PCA(i) = value;
+
284 // And then transfer back to the parameter basis
+
285 TransferToParam();
+
286 }
+
+
+
290 inline void setParCurr_PCA(const int i, const double value) {
+
291 if (!pca) { MACH3LOG_ERROR("Am not running in PCA mode"); throw; }
+
292 fParCurr_PCA(i) = value;
+
293 // And then transfer back to the parameter basis
294 TransferToParam();
295 }
-
297 inline int getSize() { return _fNumPar; }
+
296
-
299 inline int getNpars() {
-
300 if (pca) return _fNumParPCA;
-
301 else return _fNumPar;
-
302 }
+
299 inline void setParameters_PCA(const std::vector<double> &pars) {
+
300 if (!pca) { MACH3LOG_ERROR("Am not running in PCA mode"); throw; }
+
301 if (pars.size() != size_t(_fNumParPCA)) {
+
302 MACH3LOG_ERROR("Warning: parameter arrays of incompatible size! Not changing parameters! {} has size {} but was expecting {}", matrixName, pars.size(), _fNumPar);
+
303 throw;
+
304 }
+
305 unsigned int parsSize = pars.size();
+
306 for (unsigned int i = 0; i < parsSize; i++) {
+
307 fParProp_PCA(i) = pars[i];
+
308 }
+
309 //KS: Transfer to normal base
+
310 TransferToParam();
+
311 }
+
+
313 inline int getSize() { return _fNumPar; }
+
+
315 inline int getNpars() {
+
316 if (pca) return _fNumParPCA;
+
317 else return _fNumPar;
+
318 }
-
303
-
305 void printNominal();
-
307 void printNominalCurrProp();
-
308 void printPars();
-
310 void printIndivStepScale();
-
311
-
313 virtual void proposeStep();
-
315 void acceptStep();
-
316
-
318 void toggleFixAllParameters();
-
321 void toggleFixParameter(const int i);
-
324 void toggleFixParameter(const std::string& name);
-
325
-
-
328 bool isParameterFixed(const int i) {
-
329 if (_fError[i] < 0) { return true; }
-
330 else { return false; }
-
331 }
+
319
+
321 void printNominal();
+
323 void printNominalCurrProp();
+
324 void printPars();
+
326 void printIndivStepScale();
+
327
+
329 virtual void proposeStep();
+
331 void acceptStep();
+
332
+
334 void toggleFixAllParameters();
+
337 void toggleFixParameter(const int i);
+
340 void toggleFixParameter(const std::string& name);
+
341
+
+
344 bool isParameterFixed(const int i) {
+
345 if (_fError[i] < 0) { return true; }
+
346 else { return false; }
+
347 }
-
334 bool isParameterFixed(const std::string& name);
-
335
-
338 void ConstructPCA();
-
339 #ifdef DEBUG_PCA
-
341 void DebugPCA(const double sum, TMatrixD temp, TMatrixDSym submat);
-
342 #endif
-
343
-
345 inline bool IsPCA() { return pca; }
-
346
-
352 inline void MatrixVectorMulti(double* _restrict_ VecMulti, double** _restrict_ matrix, const double* _restrict_ vector, const int n);
-
354 inline double MatrixVectorMultiSingle(double** _restrict_ matrix, const double* _restrict_ vector, const int Length, const int i);
-
355
-
-
357 void enableAdaptiveMCMC(bool enable = true){
-
358 use_adaptive = enable;
-
359 total_steps = 0; //Set these to default values
-
360 lower_adapt = 10000;
-
361 upper_adapt = 10000000;
-
362 }
+
350 bool isParameterFixed(const std::string& name);
+
351
+
354 void ConstructPCA();
+
355 #ifdef DEBUG_PCA
+
357 void DebugPCA(const double sum, TMatrixD temp, TMatrixDSym submat);
+
358 #endif
+
359
+
361 inline bool IsPCA() { return pca; }
+
362
+
368 inline void MatrixVectorMulti(double* _restrict_ VecMulti, double** _restrict_ matrix, const double* _restrict_ vector, const int n);
+
370 inline double MatrixVectorMultiSingle(double** _restrict_ matrix, const double* _restrict_ vector, const int Length, const int i);
+
371
+
+
373 void enableAdaptiveMCMC(bool enable = true){
+
374 use_adaptive = enable;
+
375 total_steps = 0; //Set these to default values
+
376 lower_adapt = 10000;
+
377 upper_adapt = 10000000;
+
378 }
-
364 void updateAdaptiveCovariance();
-
365
-
366 protected:
-
368 void init(const char *name, const char *file);
-
371 void init(const std::vector<std::string>& YAMLFile);
-
373 void init(TMatrixDSym* covMat);
-
376 void ReserveMemory(const int size);
-
377
-
379 void randomize();
-
381 void CorrelateSteps();
-
382
-
385 void MakePosDef(TMatrixDSym *cov = nullptr);
-
386
-
388 void makeClosestPosDef(TMatrixDSym *cov);
-
390 void TransferToPCA();
-
392 void TransferToParam();
+
380 void updateAdaptiveCovariance();
+
381
+
382 protected:
+
384 void init(const char *name, const char *file);
+
387 void init(const std::vector<std::string>& YAMLFile);
+
389 void init(TMatrixDSym* covMat);
+
392 void ReserveMemory(const int size);
393
-
395 const double* ReturnUnity(){return &Unity;}
-
396
-
398 const std::string inputFile;
-
399
-
401 int size;
-
403 const char *matrixName;
-
405 TMatrixDSym *covMatrix;
-
407 TMatrixDSym *invCovMatrix;
-
409 double **InvertCovMatrix;
-
410
-
412 TRandom3 **random_number;
-
413
-
415 double* randParams;
-
417 double* corr_throw;
-
419 double _fGlobalStepScale;
-
420
-
422 unsigned int PrintLength;
-
423
-
425 std::vector<std::string> _fNames;
-
427 std::vector<std::string> _fFancyNames;
-
429 YAML::Node _fYAMLDoc;
-
431 int _fNumPar;
-
433 std::vector<double> _fPreFitValue;
-
435 std::vector<double> _fCurrVal;
-
437 std::vector<double> _fPropVal;
-
439 std::vector<double> _fGenerated;
-
441 std::vector<double> _fError;
-
443 std::vector<double> _fLowBound;
-
445 std::vector<double> _fUpBound;
-
447 std::vector<double> _fIndivStepScale;
-
449 std::vector<bool> _fFlatPrior;
-
450
-
452 const double Unity = 1.0;
-
453
-
455 bool pca;
-
457 double eigen_threshold;
-
459 int _fNumParPCA;
-
461 int FirstPCAdpar;
-
463 int LastPCAdpar;
-
465 int nKeptPCApars;
-
467 TVectorD eigen_values;
-
469 TMatrixD eigen_vectors;
-
471 std::vector<double> eigen_values_master;
-
473 std::vector<double> _fPreFitValue_PCA;
-
475 TMatrixD TransferMat;
-
477 TMatrixD TransferMatT;
-
479 TVectorD fParProp_PCA;
-
481 TVectorD fParCurr_PCA;
-
483 std::vector<double> fParSigma_PCA;
-
485 std::vector<int> isDecomposed_PCA;
-
486
-
487 // Adaptive MCMC
-
488 TMatrixDSym* throwMatrix;
-
489 TMatrixD* throwMatrix_CholDecomp;
-
491 double **throwMatrixCholDecomp;
-
492
-
494 void initialiseNewAdaptiveChain();
-
495 // TMatrixD* getMatrixSqrt(TMatrixDSym* inputMatrix);
-
496 // double calculateSubmodality(TMatrixD* sqrtVectorCov, TMatrixDSym* throwCov);
-
498 bool use_adaptive;
-
499 int total_steps;
-
500 int lower_adapt, upper_adapt; //Thresholds for when to turn on/off adaptive MCMC
-
501 // TMatrixD* covSqrt;
-
502 std::vector<double> par_means;
-
503 std::vector<double> par_means_prev;
-
504 TMatrixDSym* adaptiveCovariance;
-
505};
+
395 void randomize();
+
397 void CorrelateSteps();
+
398
+
401 void MakePosDef(TMatrixDSym *cov = nullptr);
+
402
+
404 void makeClosestPosDef(TMatrixDSym *cov);
+
406 void TransferToPCA();
+
408 void TransferToParam();
+
409
+
411 const double* ReturnUnity(){return &Unity;}
+
412
+
414 const std::string inputFile;
+
415
+
417 int size;
+
419 const char *matrixName;
+
421 TMatrixDSym *covMatrix;
+
423 TMatrixDSym *invCovMatrix;
+
425 double **InvertCovMatrix;
+
426
+
428 TRandom3 **random_number;
+
429
+
431 double* randParams;
+
433 double* corr_throw;
+
435 double _fGlobalStepScale;
+
436
+
438 unsigned int PrintLength;
+
439
+
441 std::vector<std::string> _fNames;
+
443 std::vector<std::string> _fFancyNames;
+
445 YAML::Node _fYAMLDoc;
+
447 int _fNumPar;
+
449 std::vector<double> _fPreFitValue;
+
451 std::vector<double> _fCurrVal;
+
453 std::vector<double> _fPropVal;
+
455 std::vector<double> _fGenerated;
+
457 std::vector<double> _fError;
+
459 std::vector<double> _fLowBound;
+
461 std::vector<double> _fUpBound;
+
463 std::vector<double> _fIndivStepScale;
+
465 std::vector<bool> _fFlatPrior;
+
466
+
468 const double Unity = 1.0;
+
469
+
471 bool pca;
+
473 double eigen_threshold;
+
475 int _fNumParPCA;
+
477 int FirstPCAdpar;
+
479 int LastPCAdpar;
+
481 int nKeptPCApars;
+
483 TVectorD eigen_values;
+
485 TMatrixD eigen_vectors;
+
487 std::vector<double> eigen_values_master;
+
489 std::vector<double> _fPreFitValue_PCA;
+
491 TMatrixD TransferMat;
+
493 TMatrixD TransferMatT;
+
495 TVectorD fParProp_PCA;
+
497 TVectorD fParCurr_PCA;
+
499 std::vector<double> fParSigma_PCA;
+
501 std::vector<int> isDecomposed_PCA;
+
502
+
503 // Adaptive MCMC
+
504 TMatrixDSym* throwMatrix;
+
505 TMatrixD* throwMatrix_CholDecomp;
+
507 double **throwMatrixCholDecomp;
+
508
+
510 void initialiseNewAdaptiveChain();
+
511 // TMatrixD* getMatrixSqrt(TMatrixDSym* inputMatrix);
+
512 // double calculateSubmodality(TMatrixD* sqrtVectorCov, TMatrixDSym* throwCov);
+
514 bool use_adaptive;
+
515 int total_steps;
+
516 int lower_adapt, upper_adapt; //Thresholds for when to turn on/off adaptive MCMC
+
517 // TMatrixD* covSqrt;
+
518 std::vector<double> par_means;
+
519 std::vector<double> par_means_prev;
+
520 TMatrixDSym* adaptiveCovariance;
+
521};
MACH3LOG_ERROR
#define MACH3LOG_ERROR
Definition MaCh3Logger.h:15
@@ -448,152 +441,152 @@
GetFromManager
Type GetFromManager(const YAML::Node &node, Type defval)
Get content of config file if node is not found take default value specified.
Definition YamlHelper.h:18
covarianceBase
Base class responsible for handling of systematic error parameters. Capable of using PCA or using ada...
Definition covarianceBase.h:32
covarianceBase::CalcLikelihood
double CalcLikelihood()
Calc penalty term based on inverted covariance matrix.
Definition covarianceBase.cpp:1001
-
covarianceBase::_fGlobalStepScale
double _fGlobalStepScale
Global step scale applied ot all params in this class.
Definition covarianceBase.h:419
-
covarianceBase::getDiagonalError
double getDiagonalError(const int i)
Get diagonal error for ith parameter.
Definition covarianceBase.h:154
-
covarianceBase::getFlatPrior
bool getFlatPrior(const int i)
Get if param has flat prior or not.
Definition covarianceBase.h:133
-
covarianceBase::GetParName
std::string GetParName(const int i)
Get name of covariance.
Definition covarianceBase.h:139
-
covarianceBase::getParCurr
double getParCurr(const int i)
Get current parameter value.
Definition covarianceBase.h:210
+
covarianceBase::_fGlobalStepScale
double _fGlobalStepScale
Global step scale applied ot all params in this class.
Definition covarianceBase.h:435
+
covarianceBase::getDiagonalError
double getDiagonalError(const int i)
Get diagonal error for ith parameter.
Definition covarianceBase.h:161
+
covarianceBase::getFlatPrior
bool getFlatPrior(const int i)
Get if param has flat prior or not.
Definition covarianceBase.h:140
+
covarianceBase::GetParName
std::string GetParName(const int i)
Get name of covariance.
Definition covarianceBase.h:146
+
covarianceBase::getParCurr
double getParCurr(const int i)
Get current parameter value.
Definition covarianceBase.h:219
-
covarianceBase::GetUpperBound
double GetUpperBound(const int i)
Get upper parameter bound in which it is physically valid.
Definition covarianceBase.h:219
-
covarianceBase::par_means_prev
std::vector< double > par_means_prev
Definition covarianceBase.h:503
-
covarianceBase::getEigenValuesMaster
const std::vector< double > getEigenValuesMaster()
Definition covarianceBase.h:262
-
covarianceBase::getInvCovMatrix
TMatrixDSym * getInvCovMatrix()
Return inverted covariance matrix.
Definition covarianceBase.h:130
-
covarianceBase::_fPropVal
std::vector< double > _fPropVal
Proposed value of the parameter.
Definition covarianceBase.h:437
-
covarianceBase::calcReWeight
double calcReWeight(const int bin)
What parameter Gets reweighted by what amount according to MCMC.
Definition covarianceBase.h:178
- -
covarianceBase::getParInit
double getParInit(const int i)
Get prior parameter value.
Definition covarianceBase.h:213
- -
covarianceBase::setNumberOfSteps
void setNumberOfSteps(const int nsteps)
Definition covarianceBase.h:164
+
covarianceBase::GetUpperBound
double GetUpperBound(const int i)
Get upper parameter bound in which it is physically valid.
Definition covarianceBase.h:231
+
covarianceBase::par_means_prev
std::vector< double > par_means_prev
Definition covarianceBase.h:519
+
covarianceBase::getEigenValuesMaster
const std::vector< double > getEigenValuesMaster()
Get eigen value of only decomposed parameters, if you want for all parameters use getEigenValues.
Definition covarianceBase.h:274
+
covarianceBase::getInvCovMatrix
TMatrixDSym * getInvCovMatrix()
Return inverted covariance matrix.
Definition covarianceBase.h:137
+
covarianceBase::_fPropVal
std::vector< double > _fPropVal
Proposed value of the parameter.
Definition covarianceBase.h:453
+
covarianceBase::calcReWeight
double calcReWeight(const int bin)
What parameter Gets reweighted by what amount according to MCMC.
Definition covarianceBase.h:186
+ +
covarianceBase::getParInit
double getParInit(const int i)
Get prior parameter value.
Definition covarianceBase.h:222
+ +
covarianceBase::setNumberOfSteps
void setNumberOfSteps(const int nsteps)
Definition covarianceBase.h:171
covarianceBase::~covarianceBase
virtual ~covarianceBase()
Destructor.
Definition covarianceBase.cpp:84
covarianceBase::setFlatPrior
void setFlatPrior(const int i, const bool eL)
Set if parameter should have flat prior or not.
Definition covarianceBase.cpp:1210
-
covarianceBase::setIndivStepScale
void setIndivStepScale(const int ParameterIndex, const double StepScale)
DB Function to set fIndivStepScale from a vector (Can be used from execs and inside covariance constr...
Definition covarianceBase.h:98
-
covarianceBase::isParameterFixed
bool isParameterFixed(const int i)
Is parameter fixed or not.
Definition covarianceBase.h:328
-
covarianceBase::getNpars
int getNpars()
Get number of params which will be different depending if using Eigen decomposition or not.
Definition covarianceBase.h:299
-
covarianceBase::GetParName
const char * GetParName(const int i) const
Get name of the Parameter.
Definition covarianceBase.h:142
-
covarianceBase::fParProp_PCA
TVectorD fParProp_PCA
CW: Current parameter value in PCA base.
Definition covarianceBase.h:479
-
covarianceBase::IsPCA
bool IsPCA()
is PCA, can use to query e.g. LLH scans
Definition covarianceBase.h:345
-
covarianceBase::_fUpBound
std::vector< double > _fUpBound
Upper physical bound, parameter will not be able to go beyond it.
Definition covarianceBase.h:445
-
covarianceBase::setPrintLength
void setPrintLength(const unsigned int PriLen)
KS: In case someone really want to change this.
Definition covarianceBase.h:103
+
covarianceBase::setIndivStepScale
void setIndivStepScale(const int ParameterIndex, const double StepScale)
DB Function to set fIndivStepScale from a vector (Can be used from execs and inside covariance constr...
Definition covarianceBase.h:105
+
covarianceBase::isParameterFixed
bool isParameterFixed(const int i)
Is parameter fixed or not.
Definition covarianceBase.h:344
+
covarianceBase::getNpars
int getNpars()
Get number of params which will be different depending if using Eigen decomposition or not.
Definition covarianceBase.h:315
+
covarianceBase::GetParName
const char * GetParName(const int i) const
Get name of the Parameter.
Definition covarianceBase.h:149
+
covarianceBase::fParProp_PCA
TVectorD fParProp_PCA
CW: Current parameter value in PCA base.
Definition covarianceBase.h:495
+
covarianceBase::IsPCA
bool IsPCA()
is PCA, can use to query e.g. LLH scans
Definition covarianceBase.h:361
+
covarianceBase::_fUpBound
std::vector< double > _fUpBound
Upper physical bound, parameter will not be able to go beyond it.
Definition covarianceBase.h:461
+
covarianceBase::setPrintLength
void setPrintLength(const unsigned int PriLen)
KS: In case someone really want to change this.
Definition covarianceBase.h:110
covarianceBase::randomize
void randomize()
"Randomize" the parameters in the covariance class for the proposed step. Used the proposal kernel an...
Definition covarianceBase.cpp:797
-
covarianceBase::_fError
std::vector< double > _fError
Prior error on the parameter.
Definition covarianceBase.h:441
-
covarianceBase::invCovMatrix
TMatrixDSym * invCovMatrix
The inverse covariance matrix.
Definition covarianceBase.h:407
-
covarianceBase::nKeptPCApars
int nKeptPCApars
Total number that remained after applying PCA Threshold.
Definition covarianceBase.h:465
-
covarianceBase::getParProp
double getParProp(const int i)
Get proposed parameter value.
Definition covarianceBase.h:207
-
covarianceBase::_fIndivStepScale
std::vector< double > _fIndivStepScale
Individual step scale used by MCMC algorithm.
Definition covarianceBase.h:447
-
covarianceBase::GetGenerated
double GetGenerated(const int i)
Definition covarianceBase.h:216
-
covarianceBase::GetNumParams
int GetNumParams()
Get total number of parameters.
Definition covarianceBase.h:200
-
covarianceBase::getParProp_PCA
double getParProp_PCA(const int i)
Get current parameter value using PCA.
Definition covarianceBase.h:228
-
covarianceBase::ReturnUnity
const double * ReturnUnity()
Handy function to return 1 for any systs.
Definition covarianceBase.h:395
-
covarianceBase::_fNames
std::vector< std::string > _fNames
ETA _fNames is set automatically in the covariance class to be something like xsec_i,...
Definition covarianceBase.h:425
-
covarianceBase::matrixName
const char * matrixName
Name of cov matrix.
Definition covarianceBase.h:403
-
covarianceBase::InvertCovMatrix
double ** InvertCovMatrix
KS: Same as above but much faster as TMatrixDSym cache miss.
Definition covarianceBase.h:409
-
covarianceBase::adaptiveCovariance
TMatrixDSym * adaptiveCovariance
Definition covarianceBase.h:504
+
covarianceBase::_fError
std::vector< double > _fError
Prior error on the parameter.
Definition covarianceBase.h:457
+
covarianceBase::invCovMatrix
TMatrixDSym * invCovMatrix
The inverse covariance matrix.
Definition covarianceBase.h:423
+
covarianceBase::nKeptPCApars
int nKeptPCApars
Total number that remained after applying PCA Threshold.
Definition covarianceBase.h:481
+
covarianceBase::getParProp
double getParProp(const int i)
Get proposed parameter value.
Definition covarianceBase.h:216
+
covarianceBase::_fIndivStepScale
std::vector< double > _fIndivStepScale
Individual step scale used by MCMC algorithm.
Definition covarianceBase.h:463
+
covarianceBase::GetGenerated
double GetGenerated(const int i)
Return generated value for a given parameter.
Definition covarianceBase.h:228
+
covarianceBase::GetNumParams
int GetNumParams()
Get total number of parameters.
Definition covarianceBase.h:208
+
covarianceBase::getParProp_PCA
double getParProp_PCA(const int i)
Get current parameter value using PCA.
Definition covarianceBase.h:240
+
covarianceBase::ReturnUnity
const double * ReturnUnity()
Handy function to return 1 for any systs.
Definition covarianceBase.h:411
+
covarianceBase::_fNames
std::vector< std::string > _fNames
ETA _fNames is set automatically in the covariance class to be something like xsec_i,...
Definition covarianceBase.h:441
+
covarianceBase::matrixName
const char * matrixName
Name of cov matrix.
Definition covarianceBase.h:419
+
covarianceBase::InvertCovMatrix
double ** InvertCovMatrix
KS: Same as above but much faster as TMatrixDSym cache miss.
Definition covarianceBase.h:425
+
covarianceBase::adaptiveCovariance
TMatrixDSym * adaptiveCovariance
Definition covarianceBase.h:520
covarianceBase::throwParCurr
void throwParCurr(const double mag=1.)
Helper function to throw the current parameter by mag sigma. Can study bias in MCMC with this; put di...
Definition covarianceBase.cpp:941
covarianceBase::updateAdaptiveCovariance
void updateAdaptiveCovariance()
HW: Update throw matrix used for proposal.
Definition covarianceBase.cpp:1441
-
covarianceBase::GetParFancyName
const char * GetParFancyName(const int i) const
Get fancy name of the Parameter.
Definition covarianceBase.h:148
-
covarianceBase::inputFile
const std::string inputFile
The input root file we read in.
Definition covarianceBase.h:398
-
covarianceBase::getThrowMatrix_CholDecomp
TMatrixD * getThrowMatrix_CholDecomp()
Definition covarianceBase.h:172
-
covarianceBase::setParameters_PCA
void setParameters_PCA(const std::vector< double > &pars)
Set values for PCA parameters in PCA base.
Definition covarianceBase.h:283
-
covarianceBase::setParCurr_PCA
void setParCurr_PCA(const int i, const double value)
Definition covarianceBase.h:274
-
covarianceBase::getCovMatrix
TMatrixDSym * getCovMatrix()
Return covariance matrix.
Definition covarianceBase.h:128
-
covarianceBase::getNominal
virtual double getNominal(const int i)
Definition covarianceBase.h:215
-
covarianceBase::TransferMatT
TMatrixD TransferMatT
Matrix used to converting from normal base to PCA base.
Definition covarianceBase.h:477
-
covarianceBase::TransferMat
TMatrixD TransferMat
Matrix used to converting from PCA base to normal base.
Definition covarianceBase.h:475
-
covarianceBase::LastPCAdpar
int LastPCAdpar
Index of the last param that is being decomposed.
Definition covarianceBase.h:463
+
covarianceBase::GetParFancyName
const char * GetParFancyName(const int i) const
Get fancy name of the Parameter.
Definition covarianceBase.h:155
+
covarianceBase::inputFile
const std::string inputFile
The input root file we read in.
Definition covarianceBase.h:414
+
covarianceBase::getThrowMatrix_CholDecomp
TMatrixD * getThrowMatrix_CholDecomp()
Definition covarianceBase.h:179
+
covarianceBase::setParameters_PCA
void setParameters_PCA(const std::vector< double > &pars)
Set values for PCA parameters in PCA base.
Definition covarianceBase.h:299
+
covarianceBase::setParCurr_PCA
void setParCurr_PCA(const int i, const double value)
Set current value for parameter in PCA base.
Definition covarianceBase.h:290
+
covarianceBase::getCovMatrix
TMatrixDSym * getCovMatrix()
Return covariance matrix.
Definition covarianceBase.h:135
+
covarianceBase::getNominal
virtual double getNominal(const int i)
Return generated value, although is virtual so class inheriting might actual get nominal not generate...
Definition covarianceBase.h:225
+
covarianceBase::TransferMatT
TMatrixD TransferMatT
Matrix used to converting from normal base to PCA base.
Definition covarianceBase.h:493
+
covarianceBase::TransferMat
TMatrixD TransferMat
Matrix used to converting from PCA base to normal base.
Definition covarianceBase.h:491
+
covarianceBase::LastPCAdpar
int LastPCAdpar
Index of the last param that is being decomposed.
Definition covarianceBase.h:479
covarianceBase::setCovMatrix
void setCovMatrix(TMatrixDSym *cov)
Set covariance matrix.
Definition covarianceBase.cpp:504
-
covarianceBase::setName
void setName(const char *name)
Set matrix name.
Definition covarianceBase.h:66
-
covarianceBase::random_number
TRandom3 ** random_number
KS: Set Random numbers for each thread so each thread has different seed.
Definition covarianceBase.h:412
-
covarianceBase::GetLowerBound
double GetLowerBound(const int i)
Get lower parameter bound in which it is physically valid.
Definition covarianceBase.h:222
-
covarianceBase::getProposed
std::vector< double > getProposed() const
Definition covarianceBase.cpp:614
+
covarianceBase::setName
void setName(const char *name)
Set matrix name.
Definition covarianceBase.h:67
+
covarianceBase::random_number
TRandom3 ** random_number
KS: Set Random numbers for each thread so each thread has different seed.
Definition covarianceBase.h:428
+
covarianceBase::GetLowerBound
double GetLowerBound(const int i)
Get lower parameter bound in which it is physically valid.
Definition covarianceBase.h:234
+
covarianceBase::getProposed
std::vector< double > getProposed() const
Get vector of all proposed parameter values.
Definition covarianceBase.cpp:614
covarianceBase::MatrixVectorMulti
void MatrixVectorMulti(double *_restrict_ VecMulti, double **_restrict_ matrix, const double *_restrict_ vector, const int n)
KS: Custom function to perform multiplication of matrix and vector with multithreading.
Definition covarianceBase.cpp:1230
covarianceBase::TransferToPCA
void TransferToPCA()
Transfer param values from normal base to PCA base.
Definition covarianceBase.cpp:576
covarianceBase::TransferToParam
void TransferToParam()
Transfer param values from PCA base to normal base.
Definition covarianceBase.cpp:595
covarianceBase::setParCurrProp
void setParCurrProp(const int i, const double val)
Set current parameter value.
Definition covarianceBase.cpp:778
-
covarianceBase::GetParFancyName
std::string GetParFancyName(const int i)
Get fancy name of the Parameter.
Definition covarianceBase.h:145
-
covarianceBase::covMatrix
TMatrixDSym * covMatrix
The covariance matrix.
Definition covarianceBase.h:405
-
covarianceBase::throwMatrix
TMatrixDSym * throwMatrix
Definition covarianceBase.h:488
-
covarianceBase::randParams
double * randParams
Random number taken from gaussian around prior error used for corr_throw.
Definition covarianceBase.h:415
-
covarianceBase::getGeneratedValues
std::vector< double > getGeneratedValues()
Definition covarianceBase.h:203
+
covarianceBase::GetParFancyName
std::string GetParFancyName(const int i)
Get fancy name of the Parameter.
Definition covarianceBase.h:152
+
covarianceBase::covMatrix
TMatrixDSym * covMatrix
The covariance matrix.
Definition covarianceBase.h:421
+
covarianceBase::throwMatrix
TMatrixDSym * throwMatrix
Definition covarianceBase.h:504
+
covarianceBase::randParams
double * randParams
Random number taken from gaussian around prior error used for corr_throw.
Definition covarianceBase.h:431
+
covarianceBase::getGeneratedValues
std::vector< double > getGeneratedValues()
Definition covarianceBase.h:211
covarianceBase::printNominalCurrProp
void printNominalCurrProp()
Print nominal, current and proposed value for each parameter.
Definition covarianceBase.cpp:978
-
covarianceBase::getName
const char * getName()
Get name of covariance.
Definition covarianceBase.h:136
-
covarianceBase::_fPreFitValue
std::vector< double > _fPreFitValue
Parameter value dictated by the prior model. Based on it penalty term is calculated.
Definition covarianceBase.h:433
+
covarianceBase::getName
const char * getName()
Get name of covariance.
Definition covarianceBase.h:143
+
covarianceBase::_fPreFitValue
std::vector< double > _fPreFitValue
Parameter value dictated by the prior model. Based on it penalty term is calculated.
Definition covarianceBase.h:449
covarianceBase::ReserveMemory
void ReserveMemory(const int size)
Initialise vectors with parameters information.
Definition covarianceBase.cpp:526
covarianceBase::MatrixVectorMultiSingle
double MatrixVectorMultiSingle(double **_restrict_ matrix, const double *_restrict_ vector, const int Length, const int i)
KS: Custom function to perform multiplication of matrix and single element which is thread safe.
Definition covarianceBase.cpp:1247
-
covarianceBase::Unity
const double Unity
Unity for null systs to point back to.
Definition covarianceBase.h:452
-
covarianceBase::corr_throw
double * corr_throw
Result of multiplication of Cholesky matrix and randParams.
Definition covarianceBase.h:417
-
covarianceBase::fParSigma_PCA
std::vector< double > fParSigma_PCA
Tells if parameter is fixed in PCA base or not.
Definition covarianceBase.h:483
-
covarianceBase::setParProp_PCA
void setParProp_PCA(const int i, const double value)
Definition covarianceBase.h:267
-
covarianceBase::size
int size
Total number of parmas, deprecated, please don't use it.
Definition covarianceBase.h:401
-
covarianceBase::setAdaptiveThresholds
void setAdaptiveThresholds(const int low_threshold=10000, const int up_threshold=1000000)
HW: Set thresholds for MCMC steps.
Definition covarianceBase.h:169
+
covarianceBase::Unity
const double Unity
Unity for null systs to point back to.
Definition covarianceBase.h:468
+
covarianceBase::corr_throw
double * corr_throw
Result of multiplication of Cholesky matrix and randParams.
Definition covarianceBase.h:433
+
covarianceBase::fParSigma_PCA
std::vector< double > fParSigma_PCA
Tells if parameter is fixed in PCA base or not.
Definition covarianceBase.h:499
+
covarianceBase::setParProp_PCA
void setParProp_PCA(const int i, const double value)
Set proposed value for parameter in PCA base.
Definition covarianceBase.h:281
+
covarianceBase::size
int size
Total number of parmas, deprecated, please don't use it.
Definition covarianceBase.h:417
+
covarianceBase::setAdaptiveThresholds
void setAdaptiveThresholds(const int low_threshold=10000, const int up_threshold=1000000)
HW: Set thresholds for MCMC steps.
Definition covarianceBase.h:176
covarianceBase::updateThrowMatrix
void updateThrowMatrix(TMatrixDSym *cov)
Definition covarianceBase.cpp:1388
covarianceBase::setStepScale
void setStepScale(const double scale)
Set global step scale for covariance object.
Definition covarianceBase.cpp:1132
-
covarianceBase::use_adaptive
bool use_adaptive
HW: Do we use adaptive MCMC or not.
Definition covarianceBase.h:498
+
covarianceBase::use_adaptive
bool use_adaptive
HW: Do we use adaptive MCMC or not.
Definition covarianceBase.h:514
covarianceBase::RandomConfiguration
void RandomConfiguration()
Randomly throw the parameters in their 1 sigma range.
Definition covarianceBase.cpp:730
covarianceBase::makeClosestPosDef
void makeClosestPosDef(TMatrixDSym *cov)
HW: Finds closest possible positive definite matrix in Frobenius Norm ||.||_frob Where ||X||_frob=sqr...
Definition covarianceBase.cpp:1520
covarianceBase::ConstructPCA
void ConstructPCA()
CW: Calculate eigen values, prepare transition matrices and remove param based on defined threshold.
Definition covarianceBase.cpp:118
-
covarianceBase::_fLowBound
std::vector< double > _fLowBound
Lowest physical bound, parameter will not be able to go beyond it.
Definition covarianceBase.h:443
-
covarianceBase::_fYAMLDoc
YAML::Node _fYAMLDoc
Stores config describing systematics.
Definition covarianceBase.h:429
+
covarianceBase::_fLowBound
std::vector< double > _fLowBound
Lowest physical bound, parameter will not be able to go beyond it.
Definition covarianceBase.h:459
+
covarianceBase::_fYAMLDoc
YAML::Node _fYAMLDoc
Stores config describing systematics.
Definition covarianceBase.h:445
covarianceBase::proposeStep
virtual void proposeStep()
Generate a new proposed state.
Definition covarianceBase.cpp:786
-
covarianceBase::_fFancyNames
std::vector< std::string > _fFancyNames
Fancy name for example rather than xsec_0 it is MAQE, useful for human reading.
Definition covarianceBase.h:427
+
covarianceBase::_fFancyNames
std::vector< std::string > _fFancyNames
Fancy name for example rather than xsec_0 it is MAQE, useful for human reading.
Definition covarianceBase.h:443
covarianceBase::setSingleParameter
void setSingleParameter(const int parNo, const double parVal)
Definition covarianceBase.cpp:769
-
covarianceBase::enableAdaptiveMCMC
void enableAdaptiveMCMC(bool enable=true)
HW: Turn on/off true adaptive MCMC, Also set thresholds for use (having a lower threshold gives us so...
Definition covarianceBase.h:357
-
covarianceBase::_fGenerated
std::vector< double > _fGenerated
Generated value of the parameter.
Definition covarianceBase.h:439
+
covarianceBase::enableAdaptiveMCMC
void enableAdaptiveMCMC(bool enable=true)
HW: Turn on/off true adaptive MCMC, Also set thresholds for use (having a lower threshold gives us so...
Definition covarianceBase.h:373
+
covarianceBase::_fGenerated
std::vector< double > _fGenerated
Generated value of the parameter.
Definition covarianceBase.h:455
covarianceBase::GetLikelihood
virtual double GetLikelihood()
Return CalcLikelihood if some params were thrown out of boundary return LARGE_LOGL
Definition covarianceBase.cpp:1040
-
covarianceBase::PrintLength
unsigned int PrintLength
KS: This is used when printing parameters, sometimes we have super long parameters name,...
Definition covarianceBase.h:422
-
covarianceBase::setParProp
void setParProp(const int i, const double val)
Set proposed parameter value.
Definition covarianceBase.h:78
+
covarianceBase::PrintLength
unsigned int PrintLength
KS: This is used when printing parameters, sometimes we have super long parameters name,...
Definition covarianceBase.h:438
+
covarianceBase::setParProp
void setParProp(const int i, const double val)
Set proposed parameter value.
Definition covarianceBase.h:83
covarianceBase::acceptStep
void acceptStep()
Accepted this step.
Definition covarianceBase.cpp:890
-
covarianceBase::getThrowMatrix
TMatrixDSym * getThrowMatrix()
Definition covarianceBase.h:171
+
covarianceBase::getThrowMatrix
TMatrixDSym * getThrowMatrix()
Definition covarianceBase.h:178
covarianceBase::setParameters
void setParameters(const std::vector< double > &pars={})
Set parameter values using vector, it has to have same size as covariance class.
Definition covarianceBase.cpp:1067
-
covarianceBase::getInputFile
std::string getInputFile() const
Get name of input file.
Definition covarianceBase.h:150
+
covarianceBase::getInputFile
std::string getInputFile() const
Get name of input file.
Definition covarianceBase.h:157
covarianceBase::throwParameters
void throwParameters()
Throw the parameters according to the covariance matrix. This shouldn't be used in MCMC code ase it c...
Definition covarianceBase.cpp:675
-
covarianceBase::par_means
std::vector< double > par_means
Definition covarianceBase.h:502
-
covarianceBase::fParCurr_PCA
TVectorD fParCurr_PCA
CW: Proposed parameter value in PCA base.
Definition covarianceBase.h:481
-
covarianceBase::retPointer
const double * retPointer(const int iParam)
DB Pointer return to param position.
Definition covarianceBase.h:196
+
covarianceBase::par_means
std::vector< double > par_means
Definition covarianceBase.h:518
+
covarianceBase::fParCurr_PCA
TVectorD fParCurr_PCA
CW: Proposed parameter value in PCA base.
Definition covarianceBase.h:497
+
covarianceBase::retPointer
const double * retPointer(const int iParam)
DB Pointer return to param position.
Definition covarianceBase.h:204
covarianceBase::setPar
void setPar(const int i, const double val)
Set all the covariance matrix parameters to a user-defined value.
Definition covarianceBase.cpp:563
covarianceBase::SetBranches
void SetBranches(TTree &tree, bool SaveProposal=false)
set branches for output file
Definition covarianceBase.cpp:1104
covarianceBase::toggleFixParameter
void toggleFixParameter(const int i)
fix parameter at prior values
Definition covarianceBase.cpp:1157
-
covarianceBase::getPreFitValues
std::vector< double > getPreFitValues()
Definition covarianceBase.h:202
+
covarianceBase::getPreFitValues
std::vector< double > getPreFitValues()
Definition covarianceBase.h:210
covarianceBase::SaveUpdatedMatrixConfig
void SaveUpdatedMatrixConfig()
KS: After step scale, prefit etc. value were modified save this modified config.
Definition covarianceBase.cpp:1608
-
covarianceBase::getSize
int getSize()
Get number of params in normal Base, if you want something which will work with PCA as well please us...
Definition covarianceBase.h:297
-
covarianceBase::pca
bool pca
perform PCA or not
Definition covarianceBase.h:455
-
covarianceBase::isParameterFixedPCA
bool isParameterFixedPCA(const int i)
Is parameter fixed in PCA base or not.
Definition covarianceBase.h:242
-
covarianceBase::getParameterMeans
std::vector< double > getParameterMeans()
Definition covarianceBase.h:173
-
covarianceBase::throwMatrix_CholDecomp
TMatrixD * throwMatrix_CholDecomp
Definition covarianceBase.h:489
+
covarianceBase::getSize
int getSize()
Get number of params in normal Base, if you want something which will work with PCA as well please us...
Definition covarianceBase.h:313
+
covarianceBase::pca
bool pca
perform PCA or not
Definition covarianceBase.h:471
+
covarianceBase::isParameterFixedPCA
bool isParameterFixedPCA(const int i)
Is parameter fixed in PCA base or not.
Definition covarianceBase.h:254
+
covarianceBase::getParameterMeans
std::vector< double > getParameterMeans()
Definition covarianceBase.h:180
+
covarianceBase::throwMatrix_CholDecomp
TMatrixD * throwMatrix_CholDecomp
Definition covarianceBase.h:505
covarianceBase::CorrelateSteps
void CorrelateSteps()
Use Cholesky throw matrix for better step proposal.
Definition covarianceBase.cpp:842
-
covarianceBase::FirstPCAdpar
int FirstPCAdpar
Index of the first param that is being decomposed.
Definition covarianceBase.h:461
+
covarianceBase::FirstPCAdpar
int FirstPCAdpar
Index of the first param that is being decomposed.
Definition covarianceBase.h:477
covarianceBase::init
void init(const char *name, const char *file)
Initialisation of the class using matrix stored in the ROOT file.
Definition covarianceBase.cpp:252
covarianceBase::GetCorrelationMatrix
TH2D * GetCorrelationMatrix()
KS: Convert covariance matrix to correlation matrix and return TH2D which can be used for fancy plott...
Definition covarianceBase.cpp:1579
covarianceBase::CheckBounds
virtual int CheckBounds()
Check if parameters were proposed outside physical boundary.
Definition covarianceBase.cpp:1025
covarianceBase::initialiseNewAdaptiveChain
void initialiseNewAdaptiveChain()
HW: Truly Adaptive Stuff.
Definition covarianceBase.cpp:1485
-
covarianceBase::_fNumParPCA
int _fNumParPCA
Number of parameters in PCA base.
Definition covarianceBase.h:459
-
covarianceBase::eigen_vectors
TMatrixD eigen_vectors
Eigen vectors only of params which are being decomposed.
Definition covarianceBase.h:469
-
covarianceBase::_fNumPar
int _fNumPar
Number of systematic parameters.
Definition covarianceBase.h:431
-
covarianceBase::throwMatrixCholDecomp
double ** throwMatrixCholDecomp
Throw matrix that is being used in the fit, much faster as TMatrixDSym cache miss.
Definition covarianceBase.h:491
-
covarianceBase::getTransferMatrix
const TMatrixD getTransferMatrix()
Definition covarianceBase.h:247
-
covarianceBase::setParName
void setParName(int i, char *name)
change parameter name
Definition covarianceBase.h:69
-
covarianceBase::getEigenVectors
const TMatrixD getEigenVectors()
Definition covarianceBase.h:252
+
covarianceBase::_fNumParPCA
int _fNumParPCA
Number of parameters in PCA base.
Definition covarianceBase.h:475
+
covarianceBase::eigen_vectors
TMatrixD eigen_vectors
Eigen vectors only of params which are being decomposed.
Definition covarianceBase.h:485
+
covarianceBase::_fNumPar
int _fNumPar
Number of systematic parameters.
Definition covarianceBase.h:447
+
covarianceBase::throwMatrixCholDecomp
double ** throwMatrixCholDecomp
Throw matrix that is being used in the fit, much faster as TMatrixDSym cache miss.
Definition covarianceBase.h:507
+
covarianceBase::getTransferMatrix
const TMatrixD getTransferMatrix()
Get transfer matrix allowing to go from PCA base to normal base.
Definition covarianceBase.h:259
+
covarianceBase::setParName
void setParName(int i, char *name)
change parameter name
Definition covarianceBase.h:71
+
covarianceBase::getEigenVectors
const TMatrixD getEigenVectors()
Get eigen vectors of covariance matrix, only works with PCA.
Definition covarianceBase.h:264
covarianceBase::printIndivStepScale
void printIndivStepScale()
Print step scale for each parameter.
Definition covarianceBase.cpp:1279
-
covarianceBase::eigen_values
TVectorD eigen_values
Eigen value only of particles which are being decomposed.
Definition covarianceBase.h:467
+
covarianceBase::eigen_values
TVectorD eigen_values
Eigen value only of particles which are being decomposed.
Definition covarianceBase.h:483
covarianceBase::saveAdaptiveToFile
void saveAdaptiveToFile(TString outFileName, TString systematicName)
Definition covarianceBase.cpp:1500
-
covarianceBase::GetIndivStepScale
double GetIndivStepScale(const int ParameterIndex)
Get individual step scale for selected parameter.
Definition covarianceBase.h:225
-
covarianceBase::_fFlatPrior
std::vector< bool > _fFlatPrior
Whether to apply flat prior or not.
Definition covarianceBase.h:449
+
covarianceBase::GetIndivStepScale
double GetIndivStepScale(const int ParameterIndex)
Get individual step scale for selected parameter.
Definition covarianceBase.h:237
+
covarianceBase::_fFlatPrior
std::vector< bool > _fFlatPrior
Whether to apply flat prior or not.
Definition covarianceBase.h:465
covarianceBase::toggleFixAllParameters
void toggleFixAllParameters()
fix parameters at prior values
Definition covarianceBase.cpp:1144
-
covarianceBase::getEigenValues
const TVectorD getEigenValues()
Definition covarianceBase.h:257
-
covarianceBase::eigen_threshold
double eigen_threshold
CW: Threshold based on which we remove parameters in eigen base.
Definition covarianceBase.h:457
+
covarianceBase::getEigenValues
const TVectorD getEigenValues()
Get eigen values for all parameters, if you want for decomposed only parameters use getEigenValuesMas...
Definition covarianceBase.h:269
+
covarianceBase::eigen_threshold
double eigen_threshold
CW: Threshold based on which we remove parameters in eigen base.
Definition covarianceBase.h:473
covarianceBase::getNominalArray
virtual std::vector< double > getNominalArray()
Definition covarianceBase.cpp:1566
covarianceBase::MakePosDef
void MakePosDef(TMatrixDSym *cov=nullptr)
Make matrix positive definite by adding small values to diagonal, necessary for inverting matrix.
Definition covarianceBase.cpp:1290
-
covarianceBase::_fPreFitValue_PCA
std::vector< double > _fPreFitValue_PCA
Prefit value for PCA params.
Definition covarianceBase.h:473
-
covarianceBase::_fCurrVal
std::vector< double > _fCurrVal
Current value of the parameter.
Definition covarianceBase.h:435
-
covarianceBase::isDecomposed_PCA
std::vector< int > isDecomposed_PCA
If param is decomposed this will return -1, if not this will return enumerator to param in normal bas...
Definition covarianceBase.h:485
-
covarianceBase::eigen_values_master
std::vector< double > eigen_values_master
Eigen values which have dimension equal to _fNumParPCA, and can be used in CorrelateSteps.
Definition covarianceBase.h:471
+
covarianceBase::_fPreFitValue_PCA
std::vector< double > _fPreFitValue_PCA
Prefit value for PCA params.
Definition covarianceBase.h:489
+
covarianceBase::_fCurrVal
std::vector< double > _fCurrVal
Current value of the parameter.
Definition covarianceBase.h:451
+
covarianceBase::isDecomposed_PCA
std::vector< int > isDecomposed_PCA
If param is decomposed this will return -1, if not this will return enumerator to param in normal bas...
Definition covarianceBase.h:501
+
covarianceBase::eigen_values_master
std::vector< double > eigen_values_master
Eigen values which have dimension equal to _fNumParPCA, and can be used in CorrelateSteps.
Definition covarianceBase.h:487
covarianceBase::printNominal
void printNominal()
Print nominal value for every parameter.
Definition covarianceBase.cpp:970
covarianceBase::setThrowMatrix
void setThrowMatrix(TMatrixDSym *cov)
Definition covarianceBase.cpp:1345
-
covarianceBase::getParCurr_PCA
double getParCurr_PCA(const int i)
Get current parameter value using PCA.
Definition covarianceBase.h:235
+
covarianceBase::getParCurr_PCA
double getParCurr_PCA(const int i)
Get current parameter value using PCA.
Definition covarianceBase.h:247
covarianceBase::throwParProp
void throwParProp(const double mag=1.)
Throw the proposed parameter by mag sigma. Should really just have the user specify this throw by hav...
Definition covarianceBase.cpp:914
covarianceBase::throwNominal
void throwNominal(const bool nomValues=false, const int seed=0)
Throw nominal values.
Definition covarianceBase.cpp:622
- +
diff --git a/covarianceOsc_8cpp_source.html b/covarianceOsc_8cpp_source.html index 917c5dd0..b61c646d 100644 --- a/covarianceOsc_8cpp_source.html +++ b/covarianceOsc_8cpp_source.html @@ -370,19 +370,19 @@
GetFromManager
Type GetFromManager(const YAML::Node &node, Type defval)
Get content of config file if node is not found take default value specified.
Definition YamlHelper.h:18
MaCh3Exception
Custom exception class for MaCh3 errors.
Definition MaCh3Exception.h:10
covarianceBase
Base class responsible for handling of systematic error parameters. Capable of using PCA or using ada...
Definition covarianceBase.h:32
-
covarianceBase::_fPropVal
std::vector< double > _fPropVal
Proposed value of the parameter.
Definition covarianceBase.h:437
+
covarianceBase::_fPropVal
std::vector< double > _fPropVal
Proposed value of the parameter.
Definition covarianceBase.h:453
covarianceBase::setFlatPrior
void setFlatPrior(const int i, const bool eL)
Set if parameter should have flat prior or not.
Definition covarianceBase.cpp:1210
covarianceBase::randomize
void randomize()
"Randomize" the parameters in the covariance class for the proposed step. Used the proposal kernel an...
Definition covarianceBase.cpp:797
-
covarianceBase::_fError
std::vector< double > _fError
Prior error on the parameter.
Definition covarianceBase.h:441
-
covarianceBase::_fIndivStepScale
std::vector< double > _fIndivStepScale
Individual step scale used by MCMC algorithm.
Definition covarianceBase.h:447
-
covarianceBase::_fNames
std::vector< std::string > _fNames
ETA _fNames is set automatically in the covariance class to be something like xsec_i,...
Definition covarianceBase.h:425
-
covarianceBase::matrixName
const char * matrixName
Name of cov matrix.
Definition covarianceBase.h:403
-
covarianceBase::random_number
TRandom3 ** random_number
KS: Set Random numbers for each thread so each thread has different seed.
Definition covarianceBase.h:412
-
covarianceBase::_fPreFitValue
std::vector< double > _fPreFitValue
Parameter value dictated by the prior model. Based on it penalty term is calculated.
Definition covarianceBase.h:433
+
covarianceBase::_fError
std::vector< double > _fError
Prior error on the parameter.
Definition covarianceBase.h:457
+
covarianceBase::_fIndivStepScale
std::vector< double > _fIndivStepScale
Individual step scale used by MCMC algorithm.
Definition covarianceBase.h:463
+
covarianceBase::_fNames
std::vector< std::string > _fNames
ETA _fNames is set automatically in the covariance class to be something like xsec_i,...
Definition covarianceBase.h:441
+
covarianceBase::matrixName
const char * matrixName
Name of cov matrix.
Definition covarianceBase.h:419
+
covarianceBase::random_number
TRandom3 ** random_number
KS: Set Random numbers for each thread so each thread has different seed.
Definition covarianceBase.h:428
+
covarianceBase::_fPreFitValue
std::vector< double > _fPreFitValue
Parameter value dictated by the prior model. Based on it penalty term is calculated.
Definition covarianceBase.h:449
covarianceBase::proposeStep
virtual void proposeStep()
Generate a new proposed state.
Definition covarianceBase.cpp:786
covarianceBase::GetLikelihood
virtual double GetLikelihood()
Return CalcLikelihood if some params were thrown out of boundary return LARGE_LOGL
Definition covarianceBase.cpp:1040
-
covarianceBase::_fNumPar
int _fNumPar
Number of systematic parameters.
Definition covarianceBase.h:431
-
covarianceBase::_fCurrVal
std::vector< double > _fCurrVal
Current value of the parameter.
Definition covarianceBase.h:435
+
covarianceBase::_fNumPar
int _fNumPar
Number of systematic parameters.
Definition covarianceBase.h:447
+
covarianceBase::_fCurrVal
std::vector< double > _fCurrVal
Current value of the parameter.
Definition covarianceBase.h:451
covarianceOsc::flipBeta
bool flipBeta
Do we flip Beta or not.
Definition covarianceOsc.h:55
covarianceOsc::getPropPars
double * getPropPars()
Retrieves the proposed parameters.
Definition covarianceOsc.cpp:147
covarianceOsc::kDeltaM23
int kDeltaM23
There is special treatment for DeltaM23, therefore store enum keeping track when to apply special tre...
Definition covarianceOsc.h:64
diff --git a/covarianceXsec_8cpp_source.html b/covarianceXsec_8cpp_source.html index 3ce8634e..c6bb2bfe 100644 --- a/covarianceXsec_8cpp_source.html +++ b/covarianceXsec_8cpp_source.html @@ -713,31 +713,31 @@
GetFromManager
Type GetFromManager(const YAML::Node &node, Type defval)
Get content of config file if node is not found take default value specified.
Definition YamlHelper.h:18
MaCh3Exception
Custom exception class for MaCh3 errors.
Definition MaCh3Exception.h:10
covarianceBase
Base class responsible for handling of systematic error parameters. Capable of using PCA or using ada...
Definition covarianceBase.h:32
-
covarianceBase::GetParName
std::string GetParName(const int i)
Get name of covariance.
Definition covarianceBase.h:139
-
covarianceBase::_fPropVal
std::vector< double > _fPropVal
Proposed value of the parameter.
Definition covarianceBase.h:437
-
covarianceBase::_fUpBound
std::vector< double > _fUpBound
Upper physical bound, parameter will not be able to go beyond it.
Definition covarianceBase.h:445
+
covarianceBase::GetParName
std::string GetParName(const int i)
Get name of covariance.
Definition covarianceBase.h:146
+
covarianceBase::_fPropVal
std::vector< double > _fPropVal
Proposed value of the parameter.
Definition covarianceBase.h:453
+
covarianceBase::_fUpBound
std::vector< double > _fUpBound
Upper physical bound, parameter will not be able to go beyond it.
Definition covarianceBase.h:461
covarianceBase::randomize
void randomize()
"Randomize" the parameters in the covariance class for the proposed step. Used the proposal kernel an...
Definition covarianceBase.cpp:797
-
covarianceBase::_fError
std::vector< double > _fError
Prior error on the parameter.
Definition covarianceBase.h:441
-
covarianceBase::_fIndivStepScale
std::vector< double > _fIndivStepScale
Individual step scale used by MCMC algorithm.
Definition covarianceBase.h:447
-
covarianceBase::GetNumParams
int GetNumParams()
Get total number of parameters.
Definition covarianceBase.h:200
-
covarianceBase::_fNames
std::vector< std::string > _fNames
ETA _fNames is set automatically in the covariance class to be something like xsec_i,...
Definition covarianceBase.h:425
-
covarianceBase::LastPCAdpar
int LastPCAdpar
Index of the last param that is being decomposed.
Definition covarianceBase.h:463
+
covarianceBase::_fError
std::vector< double > _fError
Prior error on the parameter.
Definition covarianceBase.h:457
+
covarianceBase::_fIndivStepScale
std::vector< double > _fIndivStepScale
Individual step scale used by MCMC algorithm.
Definition covarianceBase.h:463
+
covarianceBase::GetNumParams
int GetNumParams()
Get total number of parameters.
Definition covarianceBase.h:208
+
covarianceBase::_fNames
std::vector< std::string > _fNames
ETA _fNames is set automatically in the covariance class to be something like xsec_i,...
Definition covarianceBase.h:441
+
covarianceBase::LastPCAdpar
int LastPCAdpar
Index of the last param that is being decomposed.
Definition covarianceBase.h:479
covarianceBase::TransferToPCA
void TransferToPCA()
Transfer param values from normal base to PCA base.
Definition covarianceBase.cpp:576
-
covarianceBase::GetParFancyName
std::string GetParFancyName(const int i)
Get fancy name of the Parameter.
Definition covarianceBase.h:145
-
covarianceBase::_fPreFitValue
std::vector< double > _fPreFitValue
Parameter value dictated by the prior model. Based on it penalty term is calculated.
Definition covarianceBase.h:433
-
covarianceBase::_fLowBound
std::vector< double > _fLowBound
Lowest physical bound, parameter will not be able to go beyond it.
Definition covarianceBase.h:443
-
covarianceBase::_fYAMLDoc
YAML::Node _fYAMLDoc
Stores config describing systematics.
Definition covarianceBase.h:429
-
covarianceBase::_fFancyNames
std::vector< std::string > _fFancyNames
Fancy name for example rather than xsec_0 it is MAQE, useful for human reading.
Definition covarianceBase.h:427
-
covarianceBase::_fGenerated
std::vector< double > _fGenerated
Generated value of the parameter.
Definition covarianceBase.h:439
-
covarianceBase::PrintLength
unsigned int PrintLength
KS: This is used when printing parameters, sometimes we have super long parameters name,...
Definition covarianceBase.h:422
-
covarianceBase::fParCurr_PCA
TVectorD fParCurr_PCA
CW: Proposed parameter value in PCA base.
Definition covarianceBase.h:481
-
covarianceBase::pca
bool pca
perform PCA or not
Definition covarianceBase.h:455
+
covarianceBase::GetParFancyName
std::string GetParFancyName(const int i)
Get fancy name of the Parameter.
Definition covarianceBase.h:152
+
covarianceBase::_fPreFitValue
std::vector< double > _fPreFitValue
Parameter value dictated by the prior model. Based on it penalty term is calculated.
Definition covarianceBase.h:449
+
covarianceBase::_fLowBound
std::vector< double > _fLowBound
Lowest physical bound, parameter will not be able to go beyond it.
Definition covarianceBase.h:459
+
covarianceBase::_fYAMLDoc
YAML::Node _fYAMLDoc
Stores config describing systematics.
Definition covarianceBase.h:445
+
covarianceBase::_fFancyNames
std::vector< std::string > _fFancyNames
Fancy name for example rather than xsec_0 it is MAQE, useful for human reading.
Definition covarianceBase.h:443
+
covarianceBase::_fGenerated
std::vector< double > _fGenerated
Generated value of the parameter.
Definition covarianceBase.h:455
+
covarianceBase::PrintLength
unsigned int PrintLength
KS: This is used when printing parameters, sometimes we have super long parameters name,...
Definition covarianceBase.h:438
+
covarianceBase::fParCurr_PCA
TVectorD fParCurr_PCA
CW: Proposed parameter value in PCA base.
Definition covarianceBase.h:497
+
covarianceBase::pca
bool pca
perform PCA or not
Definition covarianceBase.h:471
covarianceBase::CorrelateSteps
void CorrelateSteps()
Use Cholesky throw matrix for better step proposal.
Definition covarianceBase.cpp:842
-
covarianceBase::FirstPCAdpar
int FirstPCAdpar
Index of the first param that is being decomposed.
Definition covarianceBase.h:461
-
covarianceBase::_fNumParPCA
int _fNumParPCA
Number of parameters in PCA base.
Definition covarianceBase.h:459
-
covarianceBase::_fNumPar
int _fNumPar
Number of systematic parameters.
Definition covarianceBase.h:431
-
covarianceBase::_fPreFitValue_PCA
std::vector< double > _fPreFitValue_PCA
Prefit value for PCA params.
Definition covarianceBase.h:473
-
covarianceBase::_fCurrVal
std::vector< double > _fCurrVal
Current value of the parameter.
Definition covarianceBase.h:435
+
covarianceBase::FirstPCAdpar
int FirstPCAdpar
Index of the first param that is being decomposed.
Definition covarianceBase.h:477
+
covarianceBase::_fNumParPCA
int _fNumParPCA
Number of parameters in PCA base.
Definition covarianceBase.h:475
+
covarianceBase::_fNumPar
int _fNumPar
Number of systematic parameters.
Definition covarianceBase.h:447
+
covarianceBase::_fPreFitValue_PCA
std::vector< double > _fPreFitValue_PCA
Prefit value for PCA params.
Definition covarianceBase.h:489
+
covarianceBase::_fCurrVal
std::vector< double > _fCurrVal
Current value of the parameter.
Definition covarianceBase.h:451
covarianceXsec::GetNumParamsFromDetID
int GetNumParamsFromDetID(const int DetID, const SystType Type)
DB Grab the number of parameters for the relevant DetID.
Definition covarianceXsec.cpp:362
covarianceXsec::setFluxOnlyParameters
void setFluxOnlyParameters()
KS Function to set to nominal flux parameters.
Definition covarianceXsec.cpp:552
covarianceXsec::_fFDSplineModes
std::vector< std::vector< int > > _fFDSplineModes
Definition covarianceXsec.h:143
@@ -776,7 +776,7 @@
covarianceXsec::~covarianceXsec
~covarianceXsec()
Destructor.
Definition covarianceXsec.cpp:160
covarianceXsec::setXsecOnlyParameters
void setXsecOnlyParameters()
KS Function to set to nominal flux parameters.
Definition covarianceXsec.cpp:566
- +
XsecNorms4
ETA - Normalisations for cross-section parameters Carrier for whether you want to apply a systematic ...
Definition Structs.h:80
XsecNorms4::name
std::string name
Name of parameters.
Definition Structs.h:83
diff --git a/covarianceXsec_8h_source.html b/covarianceXsec_8h_source.html index 545819d1..534b673d 100644 --- a/covarianceXsec_8h_source.html +++ b/covarianceXsec_8h_source.html @@ -189,10 +189,10 @@
kFunc
@ kFunc
Definition Structs.h:152
GetFromManager
Type GetFromManager(const YAML::Node &node, Type defval)
Get content of config file if node is not found take default value specified.
Definition YamlHelper.h:18
covarianceBase
Base class responsible for handling of systematic error parameters. Capable of using PCA or using ada...
Definition covarianceBase.h:32
-
covarianceBase::LastPCAdpar
int LastPCAdpar
Index of the last param that is being decomposed.
Definition covarianceBase.h:463
-
covarianceBase::_fPreFitValue
std::vector< double > _fPreFitValue
Parameter value dictated by the prior model. Based on it penalty term is calculated.
Definition covarianceBase.h:433
-
covarianceBase::FirstPCAdpar
int FirstPCAdpar
Index of the first param that is being decomposed.
Definition covarianceBase.h:461
-
covarianceBase::_fNumPar
int _fNumPar
Number of systematic parameters.
Definition covarianceBase.h:431
+
covarianceBase::LastPCAdpar
int LastPCAdpar
Index of the last param that is being decomposed.
Definition covarianceBase.h:479
+
covarianceBase::_fPreFitValue
std::vector< double > _fPreFitValue
Parameter value dictated by the prior model. Based on it penalty term is calculated.
Definition covarianceBase.h:449
+
covarianceBase::FirstPCAdpar
int FirstPCAdpar
Index of the first param that is being decomposed.
Definition covarianceBase.h:477
+
covarianceBase::_fNumPar
int _fNumPar
Number of systematic parameters.
Definition covarianceBase.h:447
covarianceXsec
Class responsible for handling of systematic error parameters with different types defined in the con...
Definition covarianceXsec.h:15
covarianceXsec::GetNumParamsFromDetID
int GetNumParamsFromDetID(const int DetID, const SystType Type)
DB Grab the number of parameters for the relevant DetID.
Definition covarianceXsec.cpp:362
covarianceXsec::setFluxOnlyParameters
void setFluxOnlyParameters()
KS Function to set to nominal flux parameters.
Definition covarianceXsec.cpp:552
@@ -243,7 +243,7 @@
covarianceXsec::setXsecOnlyParameters
void setXsecOnlyParameters()
KS Function to set to nominal flux parameters.
Definition covarianceXsec.cpp:566
covarianceXsec::GetNumSplineParamsFromDetID
int GetNumSplineParamsFromDetID(const int DetID)
DB Grab the Number of splines for the relevant DetID.
Definition covarianceXsec.h:86
- +
XsecNorms4
ETA - Normalisations for cross-section parameters Carrier for whether you want to apply a systematic ...
Definition Structs.h:80
diff --git a/hierarchy.html b/hierarchy.html index e3226f77..0c0f3506 100644 --- a/hierarchy.html +++ b/hierarchy.html @@ -87,7 +87,7 @@

- + @@ -99,17 +99,17 @@ - + - - + + - +

@@ -363,10 +366,13 @@

std::vector< std::vector< double > > * dataSample2D
 
_int_ nSamples
 Contains how many samples we've got.
 
int nDims
 KS: number of dimension for this sample.
 
std::vector< std::string > SampleName
 Name of Sample.
 
MaCh3Modes * Modes
 
 ▼Cstd::exception
 CMaCh3ExceptionCustom exception class for MaCh3 errors
 CFastSplineInfoCW: Add a struct to hold info about the splinified xsec parameters and help with FindSplineSegment
 Cfdmc_base
 Cfdmc_baseConstructors are same for all three so put in here
 ▼CFitterBaseBase class for implementing fitting algorithms
 ▼CLikelihoodFitImplementation of base Likelihood Fit class, it is mostly responsible for likelihood calculation while actual use depend on classes which inherits
 CMinuitFitImplementation of Minuit fitting algorithm
 CMCMCProcessorClass responsible for processing MCMC chains, performing diagnostics, generating plots, and managing Bayesian analysis
 COscillator
 CparticleClass particle - stores the position, velocity and personal best With functions which move particle and update velocity
 ▼CsamplePDFBase
 ▼CsamplePDFBaseClass responsible for handling implementation of samples used in analysis, reweighting and returning LLH
 CsamplePDFFDBase
 CSampleSummaryClass to calculate pvalue produce posterior predictive and many fancy Bayesian stuff
 ▼CSplineBaseBase class for calculating weight from spline
 CSMonolithEven-by-event class calculating response for spline parameters. It is possible to use GPU acceleration
 CsplineFDBaseBin-by-bin class calculating response for spline parameters
 CTF1_red
 CThrowParms
 CTF1_redCW: A reduced TF1 class only. Only saves parameters for each TF1 and how many parameters each parameter set has
 CThrowParmsNo idea really..
 ▼CTSpline3_redCW: Reduced TSpline3 class
 CTruncated_SplineCW: Truncated spline class
 CXsecNorms4
 CXsecNorms4ETA - Normalisations for cross-section parameters Carrier for whether you want to apply a systematic to an event or not
 CXSecStruct< T >CW: Generic xsec class. Can use TF1 or TSpline3 or TSpline5 here, tjoho
diff --git a/namespaceMaCh3Utils.html b/namespaceMaCh3Utils.html index 9483b2d1..df89752e 100644 --- a/namespaceMaCh3Utils.html +++ b/namespaceMaCh3Utils.html @@ -117,6 +117,7 @@  KS: Print Yaml config using logger.
  double GetMassFromPDG (int PDG) + Return mass for given PDG.
  std::unordered_map< int, int > KnownDetIDsMap ({ {0, 1}, {1, 8}, {2, 16}, {3, 32}, {4, 64}, {5, 128}, {6, 256}, {7, 512}, })   @@ -370,6 +371,8 @@

+

Return mass for given PDG.

+

Definition at line 11 of file Structs.cpp.

11 {
12 // *****************************
diff --git a/samplePDFBase_8cpp_source.html b/samplePDFBase_8cpp_source.html index 6ebea8cf..b4fa6ccc 100644 --- a/samplePDFBase_8cpp_source.html +++ b/samplePDFBase_8cpp_source.html @@ -387,7 +387,7 @@
273 return stat+penalty;
274 }
275 break;
-
276 //KS: Alterantive calcaution of Barlow-Beeston following Hans Dembinski and Ahmed Abdelmottele arXiv:2206.12346v2
+
276 //KS: Alternative calculation of Barlow-Beeston following Hans Dembinski and Ahmed Abdelmottele arXiv:2206.12346v2
277 case (kDembinskiAbdelmottele):
278 {
279 //KS: code follows authors implementation from:
@@ -448,7 +448,7 @@
334 //KS: Pearson works on assumption that event distribution in each bin is described by a Gaussian which in our case is not fulfilled for all bins, hence use it at your own risk
335 case (kPearson):
336 {
-
337 //KS: 2 is beacuese this function returns -LLH not -2LLH
+
337 //KS: 2 is because this function returns -LLH not -2LLH
338 const double stat = (data-mc)*(data-mc)/(2*mc);
339
340 // Return the statistical
@@ -608,37 +608,37 @@
MaCh3Modes::GetNModes
int GetNModes()
KS: Get number of modes, keep in mind actual number is +1 greater due to unknown category.
Definition MaCh3Modes.h:43
MaCh3Modes::GetMaCh3ModeName
std::string GetMaCh3ModeName(const int Index)
KS: Get normal name of mode, if mode not known you will get UNKNOWN_BAD.
Definition MaCh3Modes.cpp:124
samplePDFBase::GetModeName
void GetModeName(std::vector< std::string > &modeNameVect)
Definition samplePDFBase.cpp:431
-
samplePDFBase::rnd
TRandom3 * rnd
Definition samplePDFBase.h:131
+
samplePDFBase::rnd
TRandom3 * rnd
Definition samplePDFBase.h:136
samplePDFBase::NowTalk
void NowTalk()
CW: Redirect std::cout to silence some experiment specific libraries.
Definition samplePDFBase.cpp:460
-
samplePDFBase::GetName
virtual std::string GetName() const
Definition samplePDFBase.h:35
- +
samplePDFBase::GetName
virtual std::string GetName() const
Definition samplePDFBase.h:36
+
samplePDFBase::fill1DHist
virtual void fill1DHist()=0
samplePDFBase::fill2DHist
virtual void fill2DHist()=0
samplePDFBase::addData
void addData(std::vector< double > &dat)
Definition samplePDFBase.cpp:36
samplePDFBase::GetSampleName
virtual std::string GetSampleName(int Sample)
Definition samplePDFBase.cpp:407
-
samplePDFBase::buf
std::streambuf * buf
Keep the cout buffer.
Definition samplePDFBase.h:105
- - -
samplePDFBase::SampleName
std::vector< std::string > SampleName
Definition samplePDFBase.h:119
+
samplePDFBase::buf
std::streambuf * buf
Keep the cout buffer.
Definition samplePDFBase.h:110
+ +
samplePDFBase::nDims
int nDims
KS: number of dimension for this sample.
Definition samplePDFBase.h:122
+
samplePDFBase::SampleName
std::vector< std::string > SampleName
Name of Sample.
Definition samplePDFBase.h:124
samplePDFBase::init
void init(double pot)
Definition samplePDFBase.cpp:23
- - + +
samplePDFBase::set2DBinning
void set2DBinning(int nbins1, double *boundaries1, int nbins2, double *boundaries2)
Definition samplePDFBase.cpp:390
-
samplePDFBase::dataSample
std::vector< double > * dataSample
Definition samplePDFBase.h:111
+
samplePDFBase::dataSample
std::vector< double > * dataSample
Definition samplePDFBase.h:116
samplePDFBase::getTestStatLLH
double getTestStatLLH(double data, double mc)
Definition samplePDFBase.cpp:205
- +
samplePDFBase::nSamples
_int_ nSamples
Contains how many samples we've got.
Definition samplePDFBase.h:120
samplePDFBase::getEventRate
double getEventRate()
Definition samplePDFBase.cpp:196
samplePDFBase::generate
std::vector< double > generate()
Definition samplePDFBase.cpp:108
samplePDFBase::generate2D
std::vector< std::vector< double > > generate2D(TH2D *pdf=0)
Definition samplePDFBase.cpp:145
-
samplePDFBase::Modes
MaCh3Modes * Modes
Definition samplePDFBase.h:122
+
samplePDFBase::Modes
MaCh3Modes * Modes
Definition samplePDFBase.h:127
samplePDFBase::QuietPlease
void QuietPlease()
CW: Redirect std::cout to silence some experiment specific libraries.
Definition samplePDFBase.cpp:446
- -
samplePDFBase::errbuf
std::streambuf * errbuf
Keep the cerr buffer.
Definition samplePDFBase.h:107
+ +
samplePDFBase::errbuf
std::streambuf * errbuf
Keep the cerr buffer.
Definition samplePDFBase.h:112
samplePDFBase::set1DBinning
void set1DBinning(int nbins, double *boundaries)
Definition samplePDFBase.cpp:377
-
samplePDFBase::fTestStatistic
TestStatistic fTestStatistic
Test statistic tells what kind of likelihood sample is using.
Definition samplePDFBase.h:102
-
samplePDFBase::~samplePDFBase
virtual ~samplePDFBase()
Definition samplePDFBase.cpp:14
- -
samplePDFBase::dataSample2D
std::vector< std::vector< double > > * dataSample2D
Definition samplePDFBase.h:112
+
samplePDFBase::fTestStatistic
TestStatistic fTestStatistic
Test statistic tells what kind of likelihood sample is using.
Definition samplePDFBase.h:107
+
samplePDFBase::~samplePDFBase
virtual ~samplePDFBase()
destructor
Definition samplePDFBase.cpp:14
+ +
samplePDFBase::dataSample2D
std::vector< std::vector< double > > * dataSample2D
Definition samplePDFBase.h:117
samplePDFBase::GetSampleNames
void GetSampleNames(std::vector< std::string > &sampleNameVect)
Definition samplePDFBase.cpp:419
diff --git a/samplePDFBase_8h.html b/samplePDFBase_8h.html index 48ab2102..3ce3995b 100644 --- a/samplePDFBase_8h.html +++ b/samplePDFBase_8h.html @@ -102,6 +102,7 @@

Classes

class  samplePDFBase + Class responsible for handling implementation of samples used in analysis, reweighting and returning LLH. More...
 
diff --git a/samplePDFBase_8h_source.html b/samplePDFBase_8h_source.html index 241bbd64..37775602 100644 --- a/samplePDFBase_8h_source.html +++ b/samplePDFBase_8h_source.html @@ -108,115 +108,111 @@
23#include "samplePDF/Structs.h"
24#include "manager/manager.h"
25
-
-
26class samplePDFBase
-
27{
-
28 public:
-
29 samplePDFBase(){};
-
30 samplePDFBase(double pot);
-
31
-
32 virtual ~samplePDFBase();
-
33
-
34 virtual inline _int_ GetNsamples(){ return nSamples; };
-
35 virtual inline std::string GetName()const {return "samplePDF";};
-
36 virtual std::string GetSampleName(int Sample);
-
37 virtual inline double getSampleLikelihood(const int isample){(void) isample; return GetLikelihood();};
-
38 inline void GetSampleNames(std::vector<std::string> &sampleNameVect) ;
-
39 inline void GetModeName(std::vector<std::string> &modeNameVect);
-
40
-
42 MaCh3Modes* GetMaCh3Modes() const { return Modes; }
-
43
-
44 TH1D* get1DHist();
-
45 TH2D* get2DHist();
-
46 TH1D* get1DDataHist(){return dathist;}
-
47 TH2D* get2DDataHist(){return dathist2d;}
-
48 void set1DBinning(int nbins, double* boundaries);
-
49 void set1DBinning(int nbins, double low, double high);
-
50 void set2DBinning(int nbins1, double* boundaries1, int nbins2, double* boundaries2);
-
51 void set2DBinning(int nbins1, double low1, double high1, int nbins2, double low2, double high2);
-
52 double getEventRate();
-
53 void setMCthrow(bool mc){MCthrow= mc;}
-
54
-
55 // generate fake dataset based on rejection sampling
-
56 std::vector< std::vector <double> > generate2D(TH2D* pdf = 0);
-
57 std::vector<double> generate();
-
58 virtual void reweight(double *oscpar)=0;
-
59 virtual double GetLikelihood() = 0;
-
60 virtual std::vector<double>* getDataSample() {return dataSample;};
-
61
-
62 virtual int getNEventsInSample(int sample){ (void) sample; throw MaCh3Exception(__FILE__ , __LINE__ , "Not implemented"); }
-
63 virtual int getNMCSamples(){ throw MaCh3Exception(__FILE__ , __LINE__ , "Not implemented"); }
-
64
-
65 void addData(std::vector<double> &dat);
-
66 void addData(std::vector< std::vector <double> > &dat);
-
67 void addData(TH1D* binneddata);
-
68 void addData(TH2D* binneddata);
-
69
-
70 // For adding sample dependent branches to the posteriors tree
-
71 virtual void setMCMCBranches(TTree *outtree) {(void)outtree;};
-
72
-
73 // WARNING KS: Needed for sigma var
-
-
74 virtual void SetupBinning(const _int_ Selection, std::vector<double> &BinningX, std::vector<double> &BinningY){
-
75 (void) Selection; (void) BinningX; (void) BinningY; throw MaCh3Exception(__FILE__ , __LINE__ , "Not implemented");}
+
+
27class samplePDFBase
+
28{
+
29 public:
+
30 samplePDFBase(){};
+
31 samplePDFBase(double pot);
+
33 virtual ~samplePDFBase();
+
34
+
35 virtual inline _int_ GetNsamples(){ return nSamples; };
+
36 virtual inline std::string GetName()const {return "samplePDF";};
+
37 virtual std::string GetSampleName(int Sample);
+
38 virtual inline double getSampleLikelihood(const int isample){(void) isample; return GetLikelihood();};
+
39 inline void GetSampleNames(std::vector<std::string> &sampleNameVect) ;
+
40 inline void GetModeName(std::vector<std::string> &modeNameVect);
+
41
+
43 MaCh3Modes* GetMaCh3Modes() const { return Modes; }
+
44
+
45 TH1D* get1DHist();
+
46 TH2D* get2DHist();
+
47 TH1D* get1DDataHist(){return dathist;}
+
48 TH2D* get2DDataHist(){return dathist2d;}
+
49 void set1DBinning(int nbins, double* boundaries);
+
50 void set1DBinning(int nbins, double low, double high);
+
51 void set2DBinning(int nbins1, double* boundaries1, int nbins2, double* boundaries2);
+
52 void set2DBinning(int nbins1, double low1, double high1, int nbins2, double low2, double high2);
+
53 double getEventRate();
+
54 void setMCthrow(bool mc){MCthrow= mc;}
+
55
+
56 // generate fake dataset based on rejection sampling
+
57 std::vector< std::vector <double> > generate2D(TH2D* pdf = 0);
+
58 std::vector<double> generate();
+
59 virtual void reweight(double *oscpar)=0;
+
60 virtual double GetLikelihood() = 0;
+
61 virtual std::vector<double>* getDataSample() {return dataSample;};
+
62
+
63 virtual int getNEventsInSample(int sample){ (void) sample; throw MaCh3Exception(__FILE__ , __LINE__ , "Not implemented"); }
+
64 virtual int getNMCSamples(){ throw MaCh3Exception(__FILE__ , __LINE__ , "Not implemented"); }
+
65
+
66 void addData(std::vector<double> &dat);
+
67 void addData(std::vector< std::vector <double> > &dat);
+
68 void addData(TH1D* binneddata);
+
69 void addData(TH2D* binneddata);
+
70
+
71 // For adding sample dependent branches to the posteriors tree
+
72 virtual void setMCMCBranches(TTree *outtree) {(void)outtree;};
+
73
+
74 // WARNING KS: Needed for sigma var
+
+
75 virtual void SetupBinning(const _int_ Selection, std::vector<double> &BinningX, std::vector<double> &BinningY){
+
76 (void) Selection; (void) BinningX; (void) BinningY; throw MaCh3Exception(__FILE__ , __LINE__ , "Not implemented");}
-
76 virtual TH1* getData(const int Selection) { (void) Selection; throw MaCh3Exception(__FILE__ , __LINE__ , "Not implemented"); }
-
77 virtual TH2Poly* getW2(const int Selection){ (void) Selection; throw MaCh3Exception(__FILE__ , __LINE__ , "Not implemented");}
-
78 virtual TH1* getPDF(const int Selection){ (void) Selection; throw MaCh3Exception(__FILE__ , __LINE__ , "Not implemented");}
-
-
79 virtual inline TH1* getPDFMode(const int Selection, const int Mode) {
-
80 (void) Selection; (void) Mode; throw MaCh3Exception(__FILE__ , __LINE__ , "Not implemented"); }
+
77 virtual TH1* getData(const int Selection) { (void) Selection; throw MaCh3Exception(__FILE__ , __LINE__ , "Not implemented"); }
+
78 virtual TH2Poly* getW2(const int Selection){ (void) Selection; throw MaCh3Exception(__FILE__ , __LINE__ , "Not implemented");}
+
79 virtual TH1* getPDF(const int Selection){ (void) Selection; throw MaCh3Exception(__FILE__ , __LINE__ , "Not implemented");}
+
+
80 virtual inline TH1* getPDFMode(const int Selection, const int Mode) {
+
81 (void) Selection; (void) Mode; throw MaCh3Exception(__FILE__ , __LINE__ , "Not implemented"); }
-
-
81 virtual inline std::string GetKinVarLabel(const int sample, const int Dimension) {
-
82 (void) sample; (void) Dimension; throw MaCh3Exception(__FILE__ , __LINE__ , "Not implemented"); };
+
+
82 virtual inline std::string GetKinVarLabel(const int sample, const int Dimension) {
+
83 (void) sample; (void) Dimension; throw MaCh3Exception(__FILE__ , __LINE__ , "Not implemented"); };
-
83
-
84 double getTestStatLLH(double data, double mc);
-
85 double getTestStatLLH(const double data, const double mc, const double w2);
-
86 // Provide a setter for the test-statistic
-
87 //void SetTestStatistic(TestStatistic test_stat);
-
88
-
89 virtual void fill1DHist()=0;
-
90 virtual void fill2DHist()=0;
-
91
-
92protected:
-
93 void init(double pot);
-
94 void init(double pot, std::string mc_version);
-
95
-
97 void QuietPlease();
-
99 void NowTalk();
-
100
-
102 TestStatistic fTestStatistic;
-
103
-
105 std::streambuf *buf;
-
107 std::streambuf *errbuf;
+
84
+
85 double getTestStatLLH(double data, double mc);
+
90 double getTestStatLLH(const double data, const double mc, const double w2);
+
91 // Provide a setter for the test-statistic
+
92 //void SetTestStatistic(TestStatistic test_stat);
+
93
+
94 virtual void fill1DHist()=0;
+
95 virtual void fill2DHist()=0;
+
96
+
97protected:
+
98 void init(double pot);
+
99 void init(double pot, std::string mc_version);
+
100
+
102 void QuietPlease();
+
104 void NowTalk();
+
105
+
107 TestStatistic fTestStatistic;
108
-
109 // KS: Need thinking what to do with them
-
110
-
111 std::vector<double>* dataSample;
-
112 std::vector< std::vector <double> >* dataSample2D;
+
110 std::streambuf *buf;
+
112 std::streambuf *errbuf;
113
-
114 // Contains how many samples we've got
-
115 _int_ nSamples;
-
116 //KS: number of dimension for this sample
-
117 int nDims;
-
118 //Name of Sample
-
119 std::vector<std::string> SampleName;
-
120
-
121 //GetterForModes
-
122 MaCh3Modes* Modes;
-
123
-
124 TH1D *dathist; // tempstore for likelihood calc
-
125 TH2D *dathist2d;
-
126
-
127 // binned PDFs
-
128 TH1D*_hPDF1D;
-
129 TH2D*_hPDF2D;
-
130
-
131 TRandom3* rnd;
-
132 bool MCthrow;
-
133};
+
114 // KS: Need thinking what to do with them
+
115
+
116 std::vector<double>* dataSample;
+
117 std::vector< std::vector <double> >* dataSample2D;
+
118
+
120 _int_ nSamples;
+
122 int nDims;
+
124 std::vector<std::string> SampleName;
+
125
+
126 //GetterForModes
+
127 MaCh3Modes* Modes;
+
128
+
129 TH1D *dathist; // tempstore for likelihood calc
+
130 TH2D *dathist2d;
+
131
+
132 // binned PDFs
+
133 TH1D*_hPDF1D;
+
134 TH2D*_hPDF2D;
+
135
+
136 TRandom3* rnd;
+
137 bool MCthrow;
+
138};
_int_
#define _int_
Definition Structs.h:12
@@ -224,60 +220,60 @@
GetFromManager
Type GetFromManager(const YAML::Node &node, Type defval)
Get content of config file if node is not found take default value specified.
Definition YamlHelper.h:18
MaCh3Exception
Custom exception class for MaCh3 errors.
Definition MaCh3Exception.h:10
MaCh3Modes
KS: Class describing MaCh3 modes used in the analysis, it is being initialised from config.
Definition MaCh3Modes.h:32
- +
samplePDFBase
Class responsible for handling implementation of samples used in analysis, reweighting and returning ...
Definition samplePDFBase.h:28
samplePDFBase::GetModeName
void GetModeName(std::vector< std::string > &modeNameVect)
Definition samplePDFBase.cpp:431
-
samplePDFBase::rnd
TRandom3 * rnd
Definition samplePDFBase.h:131
+
samplePDFBase::rnd
TRandom3 * rnd
Definition samplePDFBase.h:136
samplePDFBase::NowTalk
void NowTalk()
CW: Redirect std::cout to silence some experiment specific libraries.
Definition samplePDFBase.cpp:460
-
samplePDFBase::GetName
virtual std::string GetName() const
Definition samplePDFBase.h:35
- -
samplePDFBase::get1DDataHist
TH1D * get1DDataHist()
Definition samplePDFBase.h:46
-
samplePDFBase::GetKinVarLabel
virtual std::string GetKinVarLabel(const int sample, const int Dimension)
Definition samplePDFBase.h:81
+
samplePDFBase::GetName
virtual std::string GetName() const
Definition samplePDFBase.h:36
+ +
samplePDFBase::get1DDataHist
TH1D * get1DDataHist()
Definition samplePDFBase.h:47
+
samplePDFBase::GetKinVarLabel
virtual std::string GetKinVarLabel(const int sample, const int Dimension)
Definition samplePDFBase.h:82
samplePDFBase::fill1DHist
virtual void fill1DHist()=0
samplePDFBase::fill2DHist
virtual void fill2DHist()=0
samplePDFBase::addData
void addData(std::vector< double > &dat)
Definition samplePDFBase.cpp:36
samplePDFBase::GetSampleName
virtual std::string GetSampleName(int Sample)
Definition samplePDFBase.cpp:407
-
samplePDFBase::buf
std::streambuf * buf
Keep the cout buffer.
Definition samplePDFBase.h:105
- +
samplePDFBase::buf
std::streambuf * buf
Keep the cout buffer.
Definition samplePDFBase.h:110
+
samplePDFBase::GetLikelihood
virtual double GetLikelihood()=0
- -
samplePDFBase::SampleName
std::vector< std::string > SampleName
Definition samplePDFBase.h:119
-
samplePDFBase::setMCMCBranches
virtual void setMCMCBranches(TTree *outtree)
Definition samplePDFBase.h:71
-
samplePDFBase::SetupBinning
virtual void SetupBinning(const _int_ Selection, std::vector< double > &BinningX, std::vector< double > &BinningY)
Definition samplePDFBase.h:74
+
samplePDFBase::nDims
int nDims
KS: number of dimension for this sample.
Definition samplePDFBase.h:122
+
samplePDFBase::SampleName
std::vector< std::string > SampleName
Name of Sample.
Definition samplePDFBase.h:124
+
samplePDFBase::setMCMCBranches
virtual void setMCMCBranches(TTree *outtree)
Definition samplePDFBase.h:72
+
samplePDFBase::SetupBinning
virtual void SetupBinning(const _int_ Selection, std::vector< double > &BinningX, std::vector< double > &BinningY)
Definition samplePDFBase.h:75
samplePDFBase::init
void init(double pot)
Definition samplePDFBase.cpp:23
- - + +
samplePDFBase::set2DBinning
void set2DBinning(int nbins1, double *boundaries1, int nbins2, double *boundaries2)
Definition samplePDFBase.cpp:390
-
samplePDFBase::dataSample
std::vector< double > * dataSample
Definition samplePDFBase.h:111
+
samplePDFBase::dataSample
std::vector< double > * dataSample
Definition samplePDFBase.h:116
samplePDFBase::reweight
virtual void reweight(double *oscpar)=0
samplePDFBase::getTestStatLLH
double getTestStatLLH(double data, double mc)
Definition samplePDFBase.cpp:205
-
samplePDFBase::getSampleLikelihood
virtual double getSampleLikelihood(const int isample)
Definition samplePDFBase.h:37
- +
samplePDFBase::getSampleLikelihood
virtual double getSampleLikelihood(const int isample)
Definition samplePDFBase.h:38
+
samplePDFBase::nSamples
_int_ nSamples
Contains how many samples we've got.
Definition samplePDFBase.h:120
samplePDFBase::getEventRate
double getEventRate()
Definition samplePDFBase.cpp:196
samplePDFBase::generate
std::vector< double > generate()
Definition samplePDFBase.cpp:108
-
samplePDFBase::setMCthrow
void setMCthrow(bool mc)
Definition samplePDFBase.h:53
+
samplePDFBase::setMCthrow
void setMCthrow(bool mc)
Definition samplePDFBase.h:54
samplePDFBase::generate2D
std::vector< std::vector< double > > generate2D(TH2D *pdf=0)
Definition samplePDFBase.cpp:145
-
samplePDFBase::getPDF
virtual TH1 * getPDF(const int Selection)
Definition samplePDFBase.h:78
-
samplePDFBase::GetNsamples
virtual _int_ GetNsamples()
Definition samplePDFBase.h:34
-
samplePDFBase::Modes
MaCh3Modes * Modes
Definition samplePDFBase.h:122
+
samplePDFBase::getPDF
virtual TH1 * getPDF(const int Selection)
Definition samplePDFBase.h:79
+
samplePDFBase::GetNsamples
virtual _int_ GetNsamples()
Definition samplePDFBase.h:35
+
samplePDFBase::Modes
MaCh3Modes * Modes
Definition samplePDFBase.h:127
samplePDFBase::QuietPlease
void QuietPlease()
CW: Redirect std::cout to silence some experiment specific libraries.
Definition samplePDFBase.cpp:446
- -
samplePDFBase::getNEventsInSample
virtual int getNEventsInSample(int sample)
Definition samplePDFBase.h:62
-
samplePDFBase::errbuf
std::streambuf * errbuf
Keep the cerr buffer.
Definition samplePDFBase.h:107
-
samplePDFBase::getData
virtual TH1 * getData(const int Selection)
Definition samplePDFBase.h:76
-
samplePDFBase::GetMaCh3Modes
MaCh3Modes * GetMaCh3Modes() const
Return pointer to MaCh3 modes.
Definition samplePDFBase.h:42
-
samplePDFBase::getNMCSamples
virtual int getNMCSamples()
Definition samplePDFBase.h:63
-
samplePDFBase::getPDFMode
virtual TH1 * getPDFMode(const int Selection, const int Mode)
Definition samplePDFBase.h:79
+ +
samplePDFBase::getNEventsInSample
virtual int getNEventsInSample(int sample)
Definition samplePDFBase.h:63
+
samplePDFBase::errbuf
std::streambuf * errbuf
Keep the cerr buffer.
Definition samplePDFBase.h:112
+
samplePDFBase::getData
virtual TH1 * getData(const int Selection)
Definition samplePDFBase.h:77
+
samplePDFBase::GetMaCh3Modes
MaCh3Modes * GetMaCh3Modes() const
Return pointer to MaCh3 modes.
Definition samplePDFBase.h:43
+
samplePDFBase::getNMCSamples
virtual int getNMCSamples()
Definition samplePDFBase.h:64
+
samplePDFBase::getPDFMode
virtual TH1 * getPDFMode(const int Selection, const int Mode)
Definition samplePDFBase.h:80
samplePDFBase::set1DBinning
void set1DBinning(int nbins, double *boundaries)
Definition samplePDFBase.cpp:377
-
samplePDFBase::fTestStatistic
TestStatistic fTestStatistic
Test statistic tells what kind of likelihood sample is using.
Definition samplePDFBase.h:102
-
samplePDFBase::~samplePDFBase
virtual ~samplePDFBase()
Definition samplePDFBase.cpp:14
- -
samplePDFBase::dataSample2D
std::vector< std::vector< double > > * dataSample2D
Definition samplePDFBase.h:112
+
samplePDFBase::fTestStatistic
TestStatistic fTestStatistic
Test statistic tells what kind of likelihood sample is using.
Definition samplePDFBase.h:107
+
samplePDFBase::~samplePDFBase
virtual ~samplePDFBase()
destructor
Definition samplePDFBase.cpp:14
+ +
samplePDFBase::dataSample2D
std::vector< std::vector< double > > * dataSample2D
Definition samplePDFBase.h:117
samplePDFBase::GetSampleNames
void GetSampleNames(std::vector< std::string > &sampleNameVect)
Definition samplePDFBase.cpp:419
-
samplePDFBase::get2DDataHist
TH2D * get2DDataHist()
Definition samplePDFBase.h:47
-
samplePDFBase::getDataSample
virtual std::vector< double > * getDataSample()
Definition samplePDFBase.h:60
-
samplePDFBase::getW2
virtual TH2Poly * getW2(const int Selection)
Definition samplePDFBase.h:77
+
samplePDFBase::get2DDataHist
TH2D * get2DDataHist()
Definition samplePDFBase.h:48
+
samplePDFBase::getDataSample
virtual std::vector< double > * getDataSample()
Definition samplePDFBase.h:61
+
samplePDFBase::getW2
virtual TH2Poly * getW2(const int Selection)
Definition samplePDFBase.h:78
diff --git a/samplePDFFDBase_8cpp_source.html b/samplePDFFDBase_8cpp_source.html index 5d9a2783..f9d555b3 100644 --- a/samplePDFFDBase_8cpp_source.html +++ b/samplePDFFDBase_8cpp_source.html @@ -1609,26 +1609,26 @@
Oscillator::FillOscillogram
void FillOscillogram(double *oscpar, double prodH, double Yp_Val=0.468)
Definition OscClass_CUDAProb3.cpp:955
Oscillator::retPointer
const double * retPointer(int GenNeutrinoFlavour, int DetNeutrinoFlavour, double NeutrinoEnergy, double TrueCZ)
Definition OscClass_CUDAProb3.cpp:1247
-
covarianceBase::retPointer
const double * retPointer(const int iParam)
DB Pointer return to param position.
Definition covarianceBase.h:196
+
covarianceBase::retPointer
const double * retPointer(const int iParam)
DB Pointer return to param position.
Definition covarianceBase.h:204
covarianceXsec
Class responsible for handling of systematic error parameters with different types defined in the con...
Definition covarianceXsec.h:15
covarianceXsec::GetNormParsFromDetID
const std::vector< XsecNorms4 > GetNormParsFromDetID(const int DetID)
DB Get norm/func parameters depending on given DetID.
Definition covarianceXsec.cpp:342
covarianceXsec::GetParDetID
int GetParDetID(const int i) const
ETA - just return the int of the DetID, this can be removed to do a string comp at some point.
Definition covarianceXsec.h:44
covarianceXsec::GetFuncParsNamesFromDetID
const std::vector< std::string > GetFuncParsNamesFromDetID(const int DetID)
DB Grab the Functional parameter names for the relevant DetID.
Definition covarianceXsec.h:94
covarianceXsec::GetFuncParsIndexFromDetID
const std::vector< int > GetFuncParsIndexFromDetID(const int DetID)
DB Grab the Functional parameter indices for the relevant DetID.
Definition covarianceXsec.h:96
covarianceXsec::GetNumFuncParamsFromDetID
int GetNumFuncParamsFromDetID(const int DetID)
DB Grab the number of Normalisation parameters for the relevant DetID.
Definition covarianceXsec.h:92
- - -
samplePDFBase::SampleName
std::vector< std::string > SampleName
Definition samplePDFBase.h:119
- - -
samplePDFBase::dataSample
std::vector< double > * dataSample
Definition samplePDFBase.h:111
+
samplePDFBase
Class responsible for handling implementation of samples used in analysis, reweighting and returning ...
Definition samplePDFBase.h:28
+ +
samplePDFBase::SampleName
std::vector< std::string > SampleName
Name of Sample.
Definition samplePDFBase.h:124
+ + +
samplePDFBase::dataSample
std::vector< double > * dataSample
Definition samplePDFBase.h:116
samplePDFBase::getTestStatLLH
double getTestStatLLH(double data, double mc)
Definition samplePDFBase.cpp:205
- -
samplePDFBase::getNEventsInSample
virtual int getNEventsInSample(int sample)
Definition samplePDFBase.h:62
-
samplePDFBase::getNMCSamples
virtual int getNMCSamples()
Definition samplePDFBase.h:63
-
samplePDFBase::fTestStatistic
TestStatistic fTestStatistic
Test statistic tells what kind of likelihood sample is using.
Definition samplePDFBase.h:102
- -
samplePDFBase::dataSample2D
std::vector< std::vector< double > > * dataSample2D
Definition samplePDFBase.h:112
+
samplePDFBase::nSamples
_int_ nSamples
Contains how many samples we've got.
Definition samplePDFBase.h:120
+
samplePDFBase::getNEventsInSample
virtual int getNEventsInSample(int sample)
Definition samplePDFBase.h:63
+
samplePDFBase::getNMCSamples
virtual int getNMCSamples()
Definition samplePDFBase.h:64
+
samplePDFBase::fTestStatistic
TestStatistic fTestStatistic
Test statistic tells what kind of likelihood sample is using.
Definition samplePDFBase.h:107
+ +
samplePDFBase::dataSample2D
std::vector< std::vector< double > > * dataSample2D
Definition samplePDFBase.h:117
samplePDFFDBase::SelectionBounds
std::vector< std::vector< double > > SelectionBounds
Definition samplePDFFDBase.h:257
samplePDFFDBase::samplePDFFD_array
double ** samplePDFFD_array
Definition samplePDFFDBase.h:204
@@ -1657,7 +1657,7 @@
samplePDFFDBase::samplePDFFD_array_w2
double ** samplePDFFD_array_w2
Definition samplePDFFDBase.h:206
samplePDFFDBase::GetSampleName
std::string GetSampleName()
Definition samplePDFFDBase.h:82
- +
samplePDFFDBase::GetLikelihood
double GetLikelihood()
DB Multi-threaded GetLikelihood.
Definition samplePDFFDBase.cpp:1375
samplePDFFDBase::SelectionStr
std::vector< std::string > SelectionStr
Definition samplePDFFDBase.h:252
samplePDFFDBase::set2DBinning
void set2DBinning(int nbins1, double *boundaries1, int nbins2, double *boundaries2)
Definition samplePDFFDBase.cpp:1082
@@ -1688,7 +1688,7 @@
splineFDBase::GetEventSplines
virtual std::vector< std::vector< int > > GetEventSplines(std::string SampleName, int iOscChan, int EventMode, double Var1Val, double Var2Val, double Var3Val)=0
splineFDBase::Evaluate
void Evaluate()
CW: This Eval should be used when using two separate x,{y,a,b,c,d} arrays to store the weights; proba...
Definition splineFDBase.cpp:177
-
fdmc_base
Definition FDMCStruct.h:5
+
fdmc_base
constructors are same for all three so put in here
Definition FDMCStruct.h:5
fdmc_base::nEvents
int nEvents
Definition FDMCStruct.h:11
diff --git a/samplePDFFDBase_8h_source.html b/samplePDFFDBase_8h_source.html index cddd7dd4..f1a44c36 100644 --- a/samplePDFFDBase_8h_source.html +++ b/samplePDFFDBase_8h_source.html @@ -141,7 +141,6 @@
55 void addData(TH2D* Data);
56 void addData(std::vector<double> &data);
57 void addData(std::vector< std::vector <double> > &data);
-
58 //DB Multi-threaded GetLikelihood
59 double GetLikelihood();
60 //===============================================================================
61
@@ -364,7 +363,7 @@
GetFromManager
Type GetFromManager(const YAML::Node &node, Type defval)
Get content of config file if node is not found take default value specified.
Definition YamlHelper.h:18
covarianceXsec
Class responsible for handling of systematic error parameters with different types defined in the con...
Definition covarianceXsec.h:15
- +
samplePDFBase
Class responsible for handling implementation of samples used in analysis, reweighting and returning ...
Definition samplePDFBase.h:28
samplePDFFDBase::SelectionBounds
std::vector< std::vector< double > > SelectionBounds
Definition samplePDFFDBase.h:257
samplePDFFDBase::ReturnKinematicParameter
virtual double ReturnKinematicParameter(double KinematicVariable, int iSample, int iEvent)=0
@@ -400,7 +399,7 @@
samplePDFFDBase::GetSampleName
std::string GetSampleName()
Definition samplePDFFDBase.h:82
- +
samplePDFFDBase::GetLikelihood
double GetLikelihood()
DB Multi-threaded GetLikelihood.
Definition samplePDFFDBase.cpp:1375
samplePDFFDBase::SelectionStr
std::vector< std::string > SelectionStr
Definition samplePDFFDBase.h:252
@@ -440,7 +439,7 @@ -
fdmc_base
Definition FDMCStruct.h:5
+
fdmc_base
constructors are same for all three so put in here
Definition FDMCStruct.h:5
diff --git a/splineFDBase_8cpp_source.html b/splineFDBase_8cpp_source.html index 52653ea0..f4d27e7b 100644 --- a/splineFDBase_8cpp_source.html +++ b/splineFDBase_8cpp_source.html @@ -1166,7 +1166,7 @@
_float_
#define _float_
Definition Structs.h:11
GetFromManager
Type GetFromManager(const YAML::Node &node, Type defval)
Get content of config file if node is not found take default value specified.
Definition YamlHelper.h:18
SplineBase
Base class for calculating weight from spline.
Definition SplineBase.h:28
-
covarianceBase::calcReWeight
double calcReWeight(const int bin)
What parameter Gets reweighted by what amount according to MCMC.
Definition covarianceBase.h:178
+
covarianceBase::calcReWeight
double calcReWeight(const int bin)
What parameter Gets reweighted by what amount according to MCMC.
Definition covarianceBase.h:186
covarianceXsec
Class responsible for handling of systematic error parameters with different types defined in the con...
Definition covarianceXsec.h:15
covarianceXsec::GetSplineModeVecFromDetID
const std::vector< std::vector< int > > GetSplineModeVecFromDetID(const int DetID)
DB Grab the Spline Modes for the relevant DetID.
Definition covarianceXsec.cpp:267
covarianceXsec::GetFDSplineFileParsNamesFromDetID
const std::vector< std::string > GetFDSplineFileParsNamesFromDetID(const int DetID)
ETA - what does this even do?
Definition covarianceXsec.cpp:198
diff --git a/structXsecNorms4.html b/structXsecNorms4.html index 1d6d002f..a11f80e4 100644 --- a/structXsecNorms4.html +++ b/structXsecNorms4.html @@ -78,6 +78,9 @@
+

ETA - Normalisations for cross-section parameters Carrier for whether you want to apply a systematic to an event or not. + More...

+

#include <Structs.h>

@@ -112,7 +115,7 @@

 

Detailed Description

-

ETA - Normalisations for cross-section parameters Carrier for whether you want to apply a systematic to an event or not

+

ETA - Normalisations for cross-section parameters Carrier for whether you want to apply a systematic to an event or not.

Definition at line 80 of file Structs.h.

Member Data Documentation

diff --git a/structfdmc__base.html b/structfdmc__base.html index 1ee0bf95..d9a9fa4a 100644 --- a/structfdmc__base.html +++ b/structfdmc__base.html @@ -78,6 +78,9 @@
+

constructors are same for all three so put in here + More...

+

#include <FDMCStruct.h>

+ + @@ -151,6 +156,7 @@ + @@ -170,7 +176,8 @@

@@ -109,8 +112,10 @@

double ** rw_etru
 
std::list< int > * xsec_norms_bins
 xsec bins
 
double Unity
 DB Speedup bits.
 
int * nxsec_norm_pointers
 
int ** mode
 
const double ** osc_w_pointer
 DB Atmospheric Parameters.
 
double * rw_truecz
 
 

Detailed Description

-
+

constructors are same for all three so put in here

+

Definition at line 5 of file FDMCStruct.h.

Member Data Documentation

@@ -457,6 +464,8 @@

+

DB Atmospheric Parameters.

+

Definition at line 58 of file FDMCStruct.h.

@@ -729,6 +738,8 @@

+

DB Speedup bits.

+

Definition at line 27 of file FDMCStruct.h.

@@ -793,6 +804,8 @@

+

xsec bins

+

Definition at line 24 of file FDMCStruct.h.