Comments (1)
adonath
commented on June 23, 2024
It would be good to do some profiling here and actually find out what the bottleneck is.
In general I think this is a bit tricky: when you have a large number of low flux sources, most of them do not create any event. However in general you cannot know which one. So you have to evaluate the model, sample the flux and see if you get an event or not. So you still have to evaluate the predicted counts for all source models.
The sampling of the IRFs then scales with the number of events, not the number of sources. So if you have large number of low flux sources, the IRF sampling should not significantly increase in runtime. The runtime should be completely dominated by the high flux sources, which create most of the events.
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Related Issues (20)
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