load_cta_irfs#
- gammapy.irf.load_cta_irfs(filename)[source]#
load CTA instrument response function and return a dictionary container.
The IRF format should be compliant with the one discussed at http://gamma-astro-data-formats.readthedocs.io/en/latest/irfs/.
The various IRFs are accessible with the following keys:
‘aeff’ is a
EffectiveAreaTable2D
‘edisp’ is a
EnergyDispersion2D
‘psf’ is a
EnergyDependentMultiGaussPSF
‘bkg’ is a
Background3D
- Parameters
- filenamestr
the input filename. Default is
- Returns
- cta_irfdict
the IRF dictionary
Examples
Access the CTA 1DC IRFs stored in the gammapy datasets
>>> from gammapy.irf import load_cta_irfs >>> filename = "$GAMMAPY_DATA/cta-1dc/caldb/data/cta/1dc/bcf/South_z20_50h/irf_file.fits" >>> cta_irf = load_cta_irfs(filename) >>> print(cta_irf['aeff']) EffectiveAreaTable2D -------------------- axes : ['energy_true', 'offset'] shape : (42, 6) ndim : 2 unit : m2 dtype : >f4