Support #3069

Total number of counts computed by ctmodel depends on number of energy bins

Added by Specovius Andreas almost 5 years ago. Updated almost 5 years ago.

Status:ClosedStart date:11/19/2019
Priority:HighDue date:
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Description

I observed that the total number of counts in a given energy range computed by ctmodel depends on the number of energy bins (or the other way around - on the bin sizes themselves?).

I stumbled about it when computing a model map for the energy range of 350-650 GeV using irf background. Computing the model counts with enumbins=1 yielded a total number of counts which was ~18% higher than the one obtained by subdividing the same energy range into sub bins (e.g. with enumbins=3) and stacking along the energy axis.
The attached figure shows the described behavior, exemplarily for a single observation of my use case.

I also see the issue for larger energy ranges (e.g. 1-10TeV) and effective area background (but less dominant).

The overshoot varies for my scenario between 7% and 18% for different individual observations.
May the issue hence be connected to irf integration accuracy?

ctmodel_different_nebins.png (15.3 KB) Specovius Andreas, 11/19/2019 04:05 PM

Ctmodel_different_nebins

Recurrence

No recurrence.

History

#1 Updated by Knödlseder Jürgen almost 5 years ago

This is not surprising. ctmodel samples the model at the logarithmic bin centre, hence with a fine sampling things become more accurate. See for example http://cta.irap.omp.eu/ctools/users/tips/index.html#tip-binned.

#2 Updated by Specovius Andreas almost 5 years ago

  • Tracker changed from Bug to Support
  • Status changed from New to Resolved

Choosing apriori multiple sub-bins was a bit unintuitive as I wanted to have a single energy bin in the end but of course, you are totally right!
Thank you for your quick reply!

Set the tracker to Support because there was no bug.

#3 Updated by Knödlseder Jürgen almost 5 years ago

  • Status changed from Resolved to Closed

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