IRFStacker¶
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class
gammapy.irf.IRFStacker(list_aeff, list_livetime, list_edisp=None, list_low_threshold=None, list_high_threshold=None)[source]¶ Bases:
objectStack 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_aeff : list
list of
EffectiveAreaTablelist_livetime : list
list of
Quantity(livetime)list_edisp : list
list of
EnergyDispersionlist_low_threshold : list
list of low energy threshold, optional for effective area mean computation
list_high_threshold : list
list of high energy threshold, optional for effective area mean computation
Methods Summary
stack_aeff()Compute mean effective area ( EffectiveAreaTable).stack_edisp()Compute mean energy dispersion ( EnergyDispersion).Methods Documentation
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stack_aeff()[source]¶ Compute mean effective area (
EffectiveAreaTable).
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stack_edisp()[source]¶ Compute mean energy dispersion (
EnergyDispersion).
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