IRFStacker

class gammapy.irf.IRFStacker(list_aeff, list_livetime, list_edisp=None, list_low_threshold=None, list_high_threshold=None)

Bases: object

Stack instrument response functions.

Compute mean effective area and the mean energy dispersion for a given for a given list of instrument response functions. Results are stored as attributes.

The stacking of \(j\) elements is implemented as follows. \(k\) and \(l\) denote a bin in reconstructed and true energy, respectively.

\[ \begin{align}\begin{aligned}\begin{split}\epsilon_{jk} =\left\{\begin{array}{cl} 1, & \mbox{if bin k is inside the energy thresholds}\\ 0, & \mbox{otherwise} \end{array}\right.\end{split}\\\overline{t} = \sum_{j} t_i\\\overline{\mathrm{aeff}}_l = \frac{\sum_{j}\mathrm{aeff}_{jl} \cdot t_j}{\overline{t}}\\\overline{\mathrm{edisp}}_{kl} = \frac{\sum_{j} \mathrm{edisp}_{jkl} \cdot \mathrm{aeff}_{jl} \cdot t_j \cdot \epsilon_{jk}}{\sum_{j} \mathrm{aeff}_{jl} \cdot t_j}\end{aligned}\end{align} \]

Parameters

list_aefflist

list of EffectiveAreaTable

list_livetimelist

list of Quantity (livetime)

list_edisplist

list of EnergyDispersion

list_low_thresholdlist

list of low energy threshold, optional for effective area mean computation

list_high_thresholdlist

list of high energy threshold, optional for effective area mean computation

Methods Summary

stack_aeff(self)	Compute mean effective area (EffectiveAreaTable).
stack_edisp(self)	Compute mean energy dispersion (EnergyDispersion).

Methods Documentation

stack_aeff(self)

Compute mean effective area (EffectiveAreaTable).

stack_edisp(self)

Compute mean energy dispersion (EnergyDispersion).