# Instrument Response Functions (DL3)#

Typically the IRFs are stored in the form of multidimensional tables giving the response functions such as the distribution of gamma-like events or the probability density functions of the reconstructed energy and position.

For a more detailed definition of the response function you are invited to read IRF Theory.

gammapy.irf handles the following instrument response functions (IRFs):

Most of the formats defined at IRFs are supported. At the moment, there is little support for Fermi-LAT or other instruments.

Most users will not use gammapy.irf directly, but will instead use IRFs as part of their spectrum, image or cube analysis to compute exposure and effective EDISP and PSF for a given dataset.

## IRF axis naming#

In the IRF classes we use the following axis naming convention:

Variable

Definition

energy

Reconstructed energy axis ($$E$$ in IRF Theory)

energy_true

True energy axis ($$E_{\rm true}$$ in IRF Theory)

offset

Field of view offset from center ($$p_{\rm true}$$ in IRF Theory)

fov_lon

Field of view longitude

fov_lat

Field of view latitude

migra

Energy migration ($$\mu$$ in IRF Theory)

rad

Offset angle from source position ($$\delta p$$ in IRF Theory)

## Using gammapy.irf#

If you’d like to learn more about using gammapy.irf, read the following sub-pages:

See also cta.html for an example how to access IACT IRFs.