Bug #1135

Prefactor of GModelSpatialDiffuseMap is ignored in Monte Carlo simulation

Added by Knödlseder Jürgen almost 11 years ago. Updated almost 10 years ago.

Status:ClosedStart date:02/06/2014
Priority:NormalDue date:
Assigned To:Knödlseder Jürgen% Done:

100%

Category:-
Target version:1.0.0
Duration:

Description

The prefactor of the GModelSpatialDiffuseMap model is ignored in Monte Carlo simulations. This comes from the fact that a spatial model is assumed to integrate to unity.

norm1_iter8_prefactor.png (45.2 KB) Knödlseder Jürgen, 02/26/2015 05:34 PM

norm1_iter8_index.png (43.9 KB) Knödlseder Jürgen, 02/26/2015 05:34 PM

norm1_iter8_bgd_prefactor.png (46.9 KB) Knödlseder Jürgen, 02/26/2015 05:34 PM

norm1_iter8_bgd_index.png (45.9 KB) Knödlseder Jürgen, 02/26/2015 05:34 PM

norm1_iter8_bgd_sigma.png (46.4 KB) Knödlseder Jürgen, 02/26/2015 05:34 PM

norm3_iter8_prefactor.png (45 KB) Knödlseder Jürgen, 02/26/2015 05:34 PM

norm3_iter8_index.png (43.9 KB) Knödlseder Jürgen, 02/26/2015 05:34 PM

norm3_iter8_bgd_prefactor.png (46.8 KB) Knödlseder Jürgen, 02/26/2015 05:34 PM

norm3_iter8_bgd_index.png (45.8 KB) Knödlseder Jürgen, 02/26/2015 05:34 PM

norm3_iter8_bgd_sigma.png (46.4 KB) Knödlseder Jürgen, 02/26/2015 05:34 PM

Norm1_iter8_prefactor Norm1_iter8_index Norm1_iter8_bgd_prefactor Norm1_iter8_bgd_index Norm1_iter8_bgd_sigma Norm3_iter8_prefactor Norm3_iter8_index Norm3_iter8_bgd_prefactor Norm3_iter8_bgd_index Norm3_iter8_bgd_sigma

Recurrence

No recurrence.

History

#1 Updated by Knödlseder Jürgen almost 11 years ago

  • Target version set to 00-08-02

#2 Updated by Knödlseder Jürgen almost 11 years ago

  • Status changed from New to In Progress
  • Assigned To set to Knödlseder Jürgen
  • % Done changed from 0 to 50

Added norm() method to the abstract GModelSpatial interface and use this method to determine the event rate in GModelSky::mc method.

Existing unit tests all succeed, now need to check whether changing the normalization actually correctly changes the MC sample. Do this best using pull distributions.

#3 Updated by Knödlseder Jürgen over 10 years ago

  • Target version changed from 00-08-02 to 00-09-00

#4 Updated by Knödlseder Jürgen about 10 years ago

  • Target version changed from 00-09-00 to 1.0.0

#5 Updated by Knödlseder Jürgen almost 10 years ago

I checked the implementation of the MC normalisation using pull distributions of Cen A. The top row gives result for a normalisation of 1, the bottom row for a normalisation of 3. Everything looks ok now.

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