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Add caloParams v0_0 for 2024 HI run #46593

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Add caloParams v0_0 for 2024 HI run #46593

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4 changes: 4 additions & 0 deletions L1Trigger/Configuration/python/customiseSettings.py
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Original file line number Diff line number Diff line change
Expand Up @@ -2,6 +2,10 @@
import os.path
import FWCore.ParameterSet.Config as cms

def L1TSettingsToCaloParamsHI_2024_v0_0(process):
process.load("L1Trigger.L1TCalorimeter.caloParamsHI_2024_v0_0_cfi")
return process

def L1TSettingsToCaloParams_2024_v0_2(process):
process.load("L1Trigger.L1TCalorimeter.caloParams_2024_v0_2_cfi")
return process
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128 changes: 128 additions & 0 deletions L1Trigger/L1TCalorimeter/python/caloParamsHI_2024_v0_0_cfi.py
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Original file line number Diff line number Diff line change
@@ -0,0 +1,128 @@
import FWCore.ParameterSet.Config as cms

from L1Trigger.L1TCalorimeter.caloParams_cfi import caloParamsSource
import L1Trigger.L1TCalorimeter.caloParams_cfi
caloStage2Params = L1Trigger.L1TCalorimeter.caloParams_cfi.caloParams.clone(

# EG
egEtaCut = 24,
egHcalThreshold = 0.,
egTrimmingLUTFile = "L1Trigger/L1TCalorimeter/data/egTrimmingLUT_10_v16.01.19.txt",
egHOverEcutBarrel = 1,
egHOverEcutEndcap = 1,
egBypassExtHOverE = 1,
egBypassShape = 1,
egBypassECALFG = 1,

egMaxHOverELUTFile = "L1Trigger/L1TCalorimeter/data/HoverEIdentification_0.995_v15.12.23.txt",
egCompressShapesLUTFile = "L1Trigger/L1TCalorimeter/data/egCompressLUT_v4.txt",
egShapeIdType = "compressed",
egShapeIdLUTFile = "L1Trigger/L1TCalorimeter/data/shapeIdentification_adapt0.99_compressedieta_compressedE_compressedshape_v15.12.08.txt", #Not used any more in the current emulator version, merged with calibration LUT

egIsolationType = "compressed",
egIsoLUTFile = "L1Trigger/L1TCalorimeter/data/EG_Iso_LUT_Flat_WP_v2_Tight1358_20p0_0p7_40p0_v1_APR23.txt",
egIsoLUTFile2 = "L1Trigger/L1TCalorimeter/data/EG_Iso_LUT_Flat_WP_v2_Loose610_10p0_0p7_40p0_v1_APR23.txt",

egIsoVetoNrTowersPhi = 2,
egPUSParams = cms.vdouble(1,4,32), #Isolation window in firmware goes up to abs(ieta)=32 for now
egCalibrationType = "compressed",
egCalibrationVersion = 0,
egCalibrationLUTFile = "L1Trigger/L1TCalorimeter/data/EG_Calibration_LUT_correctedEtCalibLUT_v1_APR2023.txt",

# Tau
isoTauEtaMax = 25,
tauSeedThreshold = 0.,
tauIsoLUTFile = "L1Trigger/L1TCalorimeter/data/Tau_Iso_LUT_2023_calibThr1p7_V2gs_effMin0p9_eMin16_eMax60.txt",
tauIsoLUTFile2 = "L1Trigger/L1TCalorimeter/data/Tau_Iso_LUT_2023_calibThr1p7_V2gs_effMin0p9_eMin16_eMax60.txt",
tauCalibrationLUTFile = "L1Trigger/L1TCalorimeter/data/Tau_Cal_LUT_2023_calibThr1p7_V2.txt",
tauCompressLUTFile = "L1Trigger/L1TCalorimeter/data/tauCompressAllLUT_12bit_v3.txt",
tauPUSParams = [1,4,32],

# jets
jetSeedThreshold = 2.5,
jetPUSType = "PhiRing1",
jetPUSUsePhiRing = 1,

# Calibration options
jetCalibrationType = "LUT",
jetCompressPtLUTFile = "L1Trigger/L1TCalorimeter/data/lut_pt_compress_2017v1.txt",
jetCompressEtaLUTFile = "L1Trigger/L1TCalorimeter/data/lut_eta_compress_2017v1.txt",
jetCalibrationLUTFile = "L1Trigger/L1TCalorimeter/data/lut_calib_2023v0_ECALZS_PhiRing.txt",


# sums: 0=ET, 1=HT, 2=MET, 3=MHT
etSumEtaMin = [1, 1, 1, 1, 1],
etSumEtaMax = [28, 26, 28, 26, 28],
etSumEtThreshold = [0., 30., 0., 30., 0.], # only 2nd (HT) and 4th (MHT) values applied
etSumMetPUSType = "LUT", # et threshold from this LUT supercedes et threshold in line above
etSumBypassEttPUS = 1,
etSumBypassEcalSumPUS = 1,

etSumMetPUSLUTFile = "L1Trigger/L1TCalorimeter/data/metPumLUT_2023v0_puppiMet_fit.txt",

etSumCentralityUpper = [12.0, 62.0, 313.0, 776.0, 1498.0, 7000.0, 7000.0, 65535.0],
etSumCentralityLower = [5.0, 12.0, 50.0, 257.0, 658.0, 5855.0, 6039.0, 65535.0],

# Layer 1 SF
layer1ECalScaleETBins = cms.vint32([3, 6, 9, 12, 15, 20, 25, 30, 35, 40, 45, 55, 70, 256]),
layer1ECalScaleFactors = cms.vdouble([
1.12, 1.13, 1.13, 1.12, 1.12, 1.12, 1.13, 1.12, 1.13, 1.12, 1.13, 1.13, 1.14, 1.13, 1.13, 1.13, 1.14, 1.26, 1.11, 1.20, 1.21, 1.22, 1.19, 1.20, 1.19, 0.00, 0.00, 0.00,
1.12, 1.13, 1.13, 1.12, 1.12, 1.12, 1.13, 1.12, 1.13, 1.12, 1.13, 1.13, 1.14, 1.13, 1.13, 1.13, 1.14, 1.26, 1.11, 1.20, 1.21, 1.22, 1.19, 1.20, 1.19, 1.22, 0.00, 0.00,
1.08, 1.09, 1.08, 1.08, 1.11, 1.08, 1.09, 1.09, 1.09, 1.09, 1.15, 1.09, 1.10, 1.10, 1.10, 1.10, 1.10, 1.23, 1.07, 1.15, 1.14, 1.16, 1.14, 1.14, 1.15, 1.14, 1.14, 0.00,
1.06, 1.06, 1.06, 1.06, 1.06, 1.06, 1.06, 1.06, 1.07, 1.07, 1.07, 1.07, 1.07, 1.08, 1.07, 1.09, 1.08, 1.17, 1.06, 1.11, 1.10, 1.13, 1.10, 1.10, 1.11, 1.11, 1.11, 1.09,
1.04, 1.05, 1.04, 1.05, 1.04, 1.05, 1.06, 1.06, 1.05, 1.05, 1.05, 1.06, 1.06, 1.06, 1.06, 1.06, 1.07, 1.15, 1.04, 1.09, 1.09, 1.10, 1.09, 1.09, 1.10, 1.10, 1.10, 1.08,
1.04, 1.03, 1.04, 1.04, 1.04, 1.04, 1.04, 1.04, 1.04, 1.04, 1.04, 1.04, 1.05, 1.06, 1.04, 1.05, 1.05, 1.13, 1.03, 1.07, 1.08, 1.08, 1.08, 1.07, 1.07, 1.09, 1.08, 1.07,
1.03, 1.03, 1.03, 1.03, 1.03, 1.03, 1.03, 1.03, 1.03, 1.03, 1.04, 1.04, 1.05, 1.05, 1.05, 1.05, 1.05, 1.12, 1.03, 1.06, 1.06, 1.08, 1.07, 1.07, 1.06, 1.08, 1.07, 1.06,
1.03, 1.03, 1.03, 1.03, 1.03, 1.03, 1.03, 1.03, 1.03, 1.03, 1.03, 1.04, 1.04, 1.04, 1.04, 1.04, 1.03, 1.10, 1.02, 1.05, 1.06, 1.06, 1.06, 1.06, 1.05, 1.06, 1.06, 1.06,
1.02, 1.02, 1.02, 1.02, 1.02, 1.03, 1.03, 1.03, 1.03, 1.03, 1.03, 1.03, 1.03, 1.04, 1.03, 1.03, 1.02, 1.07, 1.02, 1.04, 1.04, 1.05, 1.06, 1.05, 1.05, 1.06, 1.06, 1.05,
1.02, 1.02, 1.02, 1.02, 1.02, 1.02, 1.02, 1.02, 1.02, 1.03, 1.03, 1.03, 1.03, 1.03, 1.03, 1.03, 1.03, 1.09, 1.02, 1.04, 1.05, 1.05, 1.05, 1.05, 1.04, 1.05, 1.06, 1.05,
1.02, 1.02, 1.02, 1.02, 1.02, 1.02, 1.02, 1.02, 1.02, 1.02, 1.02, 1.02, 1.03, 1.03, 1.03, 1.03, 1.03, 1.08, 1.01, 1.04, 1.04, 1.05, 1.05, 1.04, 1.04, 1.05, 1.06, 1.05,
1.01, 1.01, 1.01, 1.01, 1.01, 1.01, 1.02, 1.01, 1.02, 1.02, 1.02, 1.02, 1.03, 1.03, 1.03, 1.03, 1.03, 1.06, 1.01, 1.04, 1.04, 1.05, 1.04, 1.03, 1.03, 1.04, 1.05, 1.04,
1.01, 1.00, 1.01, 1.01, 1.01, 1.01, 1.01, 1.00, 1.01, 1.02, 1.01, 1.01, 1.02, 1.02, 1.02, 1.02, 1.03, 1.04, 1.01, 1.03, 1.03, 1.03, 1.03, 1.03, 1.03, 1.03, 1.00, 1.01,
1.02, 1.00, 1.00, 1.02, 1.00, 1.01, 1.01, 1.00, 1.00, 1.02, 1.01, 1.01, 1.02, 1.02, 1.02, 1.02, 1.02, 1.04, 1.01, 1.03, 1.03, 1.03, 1.03, 1.02, 1.02, 1.02, 1.00, 1.01
]),

layer1HCalScaleETBins = cms.vint32([1, 6, 9, 12, 15, 20, 25, 30, 35, 40, 45, 55, 70, 256]),
layer1HCalScaleFactors = cms.vdouble([
0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, # ZERO-SUPPRESS <1GeV (i.e. 0.5GeV) IN THE BARREL ONLY (ieta<=15 == eta<=1.305)
1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00,
1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00,
1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00,
1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00,
1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00,
1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00,
1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00,
1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00,
1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00,
1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00,
1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00,
1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00,
1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00
]),

layer1HFScaleETBins = cms.vint32([6, 9, 12, 15, 20, 25, 30, 35, 40, 45, 55, 70, 256]),
layer1HFScaleFactors = cms.vdouble([
1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00,
1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00,
1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00,
1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00,
1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00,
1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00,
1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00,
1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00,
1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00,
1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00,
1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00,
1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00,
1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00
]),

# HCal FB LUT
layer1HCalFBLUTUpper = cms.vuint32([
0xBBBABBBA, 0xBBBABBBA, 0xBBBABBBA, 0xBBBABBBA, 0xBBBABBBA, 0xBBBABBBA, 0xBBBABBBA, 0xBBBABBBA, 0xBBBABBBA, 0xBBBABBBA, 0xBBBABBBA, 0xBBBABBBA, 0xBBBABBBA, 0xBBBABBBA, 0xBBBABBBA, 0xBBBABBBA, 0xBBBABBBA, 0xBBBABBBA, 0xBBBABBBA, 0xBBBABBBA, 0xBBBABBBA, 0xBBBABBBA, 0xBBBABBBA, 0xBBBABBBA, 0xBBBABBBA, 0xBBBABBBA, 0xBBBABBBA, 0xBBBABBBA,
]),

layer1HCalFBLUTLower = cms.vuint32([
0xBBBABBBA, 0xBBBABBBA, 0xBBBABBBA, 0xBBBABBBA, 0xBBBABBBA, 0xBBBABBBA, 0xBBBABBBA, 0xBBBABBBA, 0xBBBABBBA, 0xBBBABBBA, 0xBBBABBBA, 0xBBBABBBA, 0xBBBABBBA, 0xBBBABBBA, 0xBBBABBBA, 0xBBBABBBA, 0xBBBABBBA, 0xBBBABBBA, 0xBBBABBBA, 0xBBBABBBA, 0xBBBABBBA, 0xBBBABBBA, 0xBBBABBBA, 0xBBBABBBA, 0xBBBABBBA, 0xBBBABBBA, 0xBBBABBBA, 0xBBBABBBA,
])
)