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The code runs without any issues while I don't use the Monte Carlo estimation for errors. I get hit with the following error when I do so,
(100_days_code) > pysyd run --star tauceti -dv --mc 200
-----------------------------------------------------------
Target: tauceti
-----------------------------------------------------------
-----------------------------------------------------------
PS binned to 179 datapoints
Numax estimates
---------------
Estimate 1: 4095.84 +/- 789.42
S/N: 5.77
Estimate 2: 2300.65 +/- 144.49
S/N: 1.00
Estimate 3: 5111.85 +/- 67784.75
S/N: 0.00
Selecting model 1
-----------------------------------------------------------
GLOBAL FIT
-----------------------------------------------------------
PS binned to 119 data points
Background model
----------------
Comparing 8 different models:
Model 0: 0 Harvey-like component(s) + white noise fixed
BIC = 0.00 | AIC = 0.00
Model 1: 0 Harvey-like component(s) + white noise term
BIC = 4.78 | AIC = 0.02
Model 2: 1 Harvey-like component(s) + white noise fixed
BIC = 9.56 | AIC = 0.03
Model 3: 1 Harvey-like component(s) + white noise term
BIC = 14.34 | AIC = 0.05
Model 4: 2 Harvey-like component(s) + white noise fixed
BIC = 19.12 | AIC = 0.07
Model 5: 2 Harvey-like component(s) + white noise term
BIC = 23.90 | AIC = 0.08
Model 6: 3 Harvey-like component(s) + white noise fixed
BIC = 28.67 | AIC = 0.10
Model 7: 3 Harvey-like component(s) + white noise term
BIC = 33.45 | AIC = 0.12
Based on BIC statistic: model 0
-----------------------------------------------------------
Sampling routine (using seed=6427319):
0%| | 0/200 [00:00<?, ?it/s]Traceback (most recent call last):
File "/Users/ritviksainarayanan/anaconda3/envs/100_days_code/bin/pysyd", line 8, in <module>
sys.exit(main())
^^^^^^
File "/Users/ritviksainarayanan/anaconda3/envs/100_days_code/lib/python3.12/site-packages/pysyd/cli.py", line 663, in main
args.func(args)
File "/Users/ritviksainarayanan/anaconda3/envs/100_days_code/lib/python3.12/site-packages/pysyd/pipeline.py", line 193, in run
_pipe(args.stars, params)
File "/Users/ritviksainarayanan/anaconda3/envs/100_days_code/lib/python3.12/site-packages/pysyd/pipeline.py", line 133, in _pipe
star.process_star()
File "/Users/ritviksainarayanan/anaconda3/envs/100_days_code/lib/python3.12/site-packages/pysyd/target.py", line 157, in process_star
self.derive_parameters()
File "/Users/ritviksainarayanan/anaconda3/envs/100_days_code/lib/python3.12/site-packages/pysyd/target.py", line 994, in derive_parameters
self.get_samples()
File "/Users/ritviksainarayanan/anaconda3/envs/100_days_code/lib/python3.12/site-packages/pysyd/target.py", line 1253, in get_samples
if self.single_step():
^^^^^^^^^^^^^^^^^^
File "/Users/ritviksainarayanan/anaconda3/envs/100_days_code/lib/python3.12/site-packages/pysyd/target.py", line 1210, in single_step
self.get_background()
File "/Users/ritviksainarayanan/anaconda3/envs/100_days_code/lib/python3.12/site-packages/pysyd/target.py", line 1530, in get_background
self.params['pars'], _ = curve_fit(self.params['functions'][self.params['selected']](self.params['noise']), self.bin_freq, self.bin_pow, p0=self.params['guesses'][:-1], sigma=self.bin_err, bounds=self.params['bounds'])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/ritviksainarayanan/anaconda3/envs/100_days_code/lib/python3.12/site-packages/scipy/optimize/_minpack_py.py", line 965, in curve_fit
ysize = len(infodict['fvec'])
^^^^^^^^^^^^^^^^^^^^^
TypeError: object of type 'numpy.float64' has no len()
0%|▉
Computing
Please provide (by editing) the following information:
OS: [macOS]
Version: [15.1.1]
Implementation: [command line]
Attachments
In order to reproduce the issue from our end, please provide both the light curve and power spectrum for the relevant target!
Attach the required data files here and if applicable, any figures or screenshots to help explain your problem.
Other
Add any other relevant information here (e.g., links to related issues or solutions)
Summary Checklist:
How were you using pySYD when you experienced the issue?
CLI
API
jupyter
Did you provide all the relevant information and files so that we can reproduce the error?
Yes
No
Did you check if the issue has already been reported?
Yes → Was there a proposed workaround or solution?
Yes
No
Idk
No
Do you know if the issue is version specific?
Yes*
No
Idk
Have you identified a workaround or solution?
Yes*
No
Will you be submitting a pull request associated with this issue?
Yes
No
Idk
* If you selected 'Yes' for any of these points, please expand on each of them in more detail below. Note: If you found any relevant threads, questions, solutions or are submitting a pull request, please remember to provide links for any/all as these are incredibly helpful for future users.
The text was updated successfully, but these errors were encountered:
Relevant Materials
tauceti_LS.txt
tauceti_PS.txt
Description
The code runs without any issues while I don't use the Monte Carlo estimation for errors. I get hit with the following error when I do so,
Computing
Please provide (by editing) the following information:
Attachments
In order to reproduce the issue from our end, please provide both the light curve and power spectrum for the relevant target!
Attach the required data files here and if applicable, any figures or screenshots to help explain your problem.
Other
Add any other relevant information here (e.g., links to related issues or solutions)
Summary Checklist:
pySYD
when you experienced the issue?→ Was there a proposed workaround or solution?
* If you selected 'Yes' for any of these points, please expand on each of them in more detail below.
Note: If you found any relevant threads, questions, solutions or are submitting a pull request, please remember to provide links for any/all as these are incredibly helpful for future users.
The text was updated successfully, but these errors were encountered: