Support #3069
Total number of counts computed by ctmodel depends on number of energy bins
Status: | Closed | Start date: | 11/19/2019 | |
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Priority: | High | Due date: | ||
Assigned To: | - | % Done: | 0% | |
Category: | - | |||
Target version: | - | |||
Duration: |
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?
Recurrence
No recurrence.
History
#1 Updated by Knödlseder Jürgen about 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 about 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