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- Alternatively, one can give all of the parameters explicitly. This is useful for running in scripts.
Code Block >>> like2 = unbinnedAnalysis(evfile='filtered.fits', scfile='test_scData_0000.fits', irfs='P6_V1_DIFFUSE', expcube='expCube.fits', srcmdl='anticenter_model.xml', optimizer='minuit', expmap='none') >>>
- The mode='h' option is available as well. In this case, one can set a specific parameter, leaving the remaining ones to be read silently from the gtlike.par file.
Code Block >>> like3 = unbinnedAnalysis(evfile='filtered.fits', mode='h')
- A BinnedAnalysis object may be created in a similar fashion using the binnedAnalysis function:
Code Block >>> from BinnedAnalysis import * >>> like = binnedAnalysis() Response functions to use[P6_V1_DIFFUSE::FRONT] Counts map file[smaps_0_20_inc_front.fits] Binned exposure map[binned_expmap_0_20_inc_front.fits] Exposure hypercube file[expCube_0_20_inc.fits] Source model file[Vela_model_0_20_inc_front.xml] Optimizer (DRMNFB|NEWMINUIT|MINUIT|DRMNGB|LBFGS) [MINUIT] >>>
Photon and Energy Flux Calculations
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