SpectrumAnalysisIACT

class gammapy.scripts.SpectrumAnalysisIACT(observations, config)

Bases: object

High-level analysis class to perform a full 1D IACT spectral analysis.

Observation selection must have happened before.

Config options:

• outdir : pathlib.Path, str

  Output folder, None means no output

• background : dict

  Forwarded to ReflectedRegionsBackgroundEstimator

• extraction : dict

  Forwarded to SpectrumExtraction

• fp_binning : Quantity

  Flux points binning

Parameters:

observations : Observations

Observations to analyse

config : dict

Config dict

Attributes Summary

spectrum_result

FluxPointsDataset

Methods Summary

run(self[, optimize_opts])	Run all steps.
run_extraction(self)	Run all steps for the spectrum extraction.
run_fit(self[, optimize_opts])	Run all step for the spectrum fit.
write(self, filename[, mode])	Write to YAML file.

Attributes Documentation

spectrum_result

FluxPointsDataset

Methods Documentation

run(self, optimize_opts=None)

Run all steps.

run_extraction(self)

Run all steps for the spectrum extraction.

run_fit(self, optimize_opts=None)

Run all step for the spectrum fit.

write(self, filename, mode='w')

Write to YAML file.

Parameters:

filename : str

File to write

mode : str

Write mode