FitIntensityScan

class lstchain.tools.lstchain_fit_intensity_scan.FitIntensityScan(**kwargs: Any)

Bases: Tool

Tool that generates a HDF5 file with the results of the fit of the signal of an intensity scan (filter scan in the case of LST), this is useful to estimate the quadratic noise term to include in the standard F-factor formula

To be run with lstchain_fit_intensity_scan –config config.json

Attributes Summary

`aliases`	An instance of a Python dict.
`description`
`fit_initialization`	Fit parameters initalization [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`()	Set up the tool.
`start`()	loop to fit each pixel

Attributes Documentation

aliases: StrDict

An instance of a Python dict.

One or more traits can be passed to the constructor to validate the keys and/or values of the dict. If you need more detailed validation, you may use a custom validator method.

Changed in version 5.0: Added key_trait for validating dict keys.

Changed in version 5.0: Deprecated ambiguous trait, traits args in favor of value_trait, per_key_traits.

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

fit_initialization: Fit parameters initalization [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: str | Unicode[str, str | bytes] = 'FitFilterScan'

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 Documentation

finish(): write fit results in h5 file and the check-plots in pdf file

setup()

Set up the tool.

This method runs after the configuration and command line options have been parsed.

Here the tool should construct all Components, open files, etc.

start(): loop to fit each pixel