Bug #1447

Fit errors too large

Added by Buehler Rolf over 9 years ago. Updated over 9 years ago.

Status:ClosedStart date:03/18/2015
Priority:NormalDue date:
Assigned To:-% Done:

0%

Category:-
Target version:1.0.0
Duration:

Description

When simulating and fitting the Crab for different spatial and spectral models, the errors often seem too large. Particularly when parameters are correlated. This therefore seems to be another manifestation of Issue #1060 https://cta-redmine.irap.omp.eu/issues/1060.

One example:
(I attach the script I am running)

Input:
crab_spatial = gl.GModelSpatialEllipticalDisk(crabdir,0.025,0.015,90.)
crab_spectrum = gl.GModelSpectralLogParabola(3.2e-17,-2.47,gl.GEnergy(1,“TeV"),-0.24)

Output:

screenshot_rolf.png (124 KB) Buehler Rolf, 03/18/2015 03:39 PM

crabextent.py Magnifier (6.41 KB) Buehler Rolf, 03/18/2015 03:39 PM

Screenshot_rolf

Recurrence

No recurrence.


Related issues

Related to GammaLib - Bug #1496: Fit errors in log parabola fit are too large Rejected 07/01/2015

History

#1 Updated by Buehler Rolf over 9 years ago

When I use simpler models (Pointsource / Powerlaw) the errors seem fine.

#2 Updated by Mayer Michael over 9 years ago

Hi Rolf, could you try to more constrain the parameter ranges?

#3 Updated by Knödlseder Jürgen over 9 years ago

  • Target version set to 1.0.0

#4 Updated by Knödlseder Jürgen over 9 years ago

Rolf, can this issue be closed now or is there still an issue?

#5 Updated by Buehler Rolf over 9 years ago

Yes, this can be closed. The flux was not being simulated correctly due to the problem reported in GammaLib Issue #1492

#6 Updated by Knödlseder Jürgen over 9 years ago

  • Status changed from New to Closed

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