FitIntensityScan#

class lstcam_calib.tools.create_fit_intensity_scan_file.FitIntensityScan(**kwargs: Any)#

Bases: Tool

Tool that generates a file with the results of the fit of an intensity scan.

This is useful to estimate the quadratic noise term to include in the standard F-factor formula.

Attributes Summary

`aliases`
`description`
`fit_initialization`	Fit parameters initialization [gain (ADC/pe), B term] for HG and LG
`fractional_variance_error`	Constant fractional error assumed for the y fit coordinate (variance)
`gain_channels`	Gain channel to process (HG=0, LG=1)
`input_dir`	directory with the input files
`input_prefix`	Prefix to select calibration files to fit
`name`
`output_path`	Path the output hdf5 file
`plot_path`	Path to pdf file with check plots
`run_list`	List of runs
`signal_range`	Signal range to include in the fit for [HG,LG] (camera median in [ADC])
`squared_excess_noise_factor`	Excess noise factor squared: 1+ Var(gain)/Mean(Gain)**2
`sub_run`	Sub run number to process

Methods Summary

`finish`()	Write fit results in h5 file and the check-plots in pdf file.
`setup`()	Read input data.
`start`()	Loop to fit each pixel.

Attributes Documentation

aliases: StrDict = {'gain-channels': 'FitIntensityScan.gain_channels', 'input-dir': 'FitIntensityScan.input_dir', 'input-prefix': 'FitIntensityScan.input_prefix', 'output-path': 'FitIntensityScan.output_path', 'plot-path': 'FitIntensityScan.plot_path', 'run-list': 'FitIntensityScan.run_list', 'signal-range': 'FitIntensityScan.signal_range', 'sub-run': 'FitIntensityScan.sub_run'}#

description: str | Unicode[str, str | bytes] = 'Tool to fit an intensity scan'#

fit_initialization#: Fit parameters initialization [gain (ADC/pe), B term] for HG and LG

fractional_variance_error#: Constant fractional error assumed for the y fit coordinate (variance)

signal_range#: Signal range to include in the fit for [HG,LG] (camera median in [ADC])

squared_excess_noise_factor#: Excess noise factor squared: 1+ Var(gain)/Mean(Gain)**2

Methods Documentation