Add radial acceptance model to cssrcdetect

Jürgen Knödlseder
1 parent 4b010e1f
Showing 3 changed files with 16 additions and 10 deletions
cscripts/cssrcdetect.par
cscripts/cssrcdetect.py
doc/source/users/reference_manual/cssrcdetect.rst
@@ -24,7 +24,7 @@ outds9file, f, a, ds9.reg,,, &quot;Output DS9 region file&quot;
 # Script parameters
 #==================
 srcmodel,  s, a, POINT,POINT,, "Source model type"
-bkgmodel,  s, a, NONE,NONE|IRF|AEFF|CUBE,, "Background model type"
+bkgmodel,  s, a, NONE,NONE|IRF|AEFF|CUBE|RACC,, "Background model type"
 threshold, r, a, 5.0,,, "Detection threshold (Gaussian sigma)"
 maxsrcs,   i, h, 20,1,1000, "Maximum number of sources"
 avgrad,    r, h, 1.0,,, "Averaging radius (deg) for significance computation"
@@ -271,24 +271,30 @@ class cssrcdetect(ctools.cscript):
         Parameters
         ----------
         modeltype : str
-            Model type ('IRF', 'AEFF' or 'CUBE')
+            Model type ('IRF', 'AEFF', 'CUBE' or 'RACC')
         Returns
         -------
         model : `~gammalib.GModelData()`
             Background model
         """
-        # Set spectral component
-        spectral = gammalib.GModelSpectralPlaw(1.0, 0.0,
-                                               gammalib.GEnergy(1.0, 'TeV'))
+        # Pivot energy
+        epivot = gammalib.GEnergy(1.0, 'TeV')
         # Set background model
         if modeltype == 'IRF':
-            model = gammalib.GCTAModelIrfBackground(spectral)
+            spectral = gammalib.GModelSpectralPlaw(1.0, 0.0, epivot)
+            model    = gammalib.GCTAModelIrfBackground(spectral)
         elif modeltype == 'AEFF':
-            model = gammalib.GCTAModelAeffBackground(spectral)
+            spectral = gammalib.GModelSpectralPlaw(1.0e-13, -2.5, epivot)
+            model    = gammalib.GCTAModelAeffBackground(spectral)
         elif modeltype == 'CUBE':
-            model = gammalib.GCTAModelCubeBackground(spectral)
+            spectral = gammalib.GModelSpectralPlaw(1.0, 0.0, epivot)
+            model    = gammalib.GCTAModelCubeBackground(spectral)
+        elif modeltype == 'RACC':
+            radial   = gammalib.GCTAModelRadialGauss(3.0)
+            spectral = gammalib.GModelSpectralPlaw(1.0e-4, -2.5, epivot)
+            model    = gammalib.GCTAModelRadialAcceptance(radial, spectral)
         else:
             model = None
@@ -36,13 +36,13 @@ General parameters
     point sources with power law spectral shapes to the model definition
     XML file.
-``bkgmodel <NONE|IRF|AEFF|CUBE> [string]``
+``bkgmodel <NONE|IRF|AEFF|CUBE|RACC> [string]``
     Background model type. Using ``NONE`` no background model will be added
     to the model definition XML file. Using ``IRF`` a background model based
     on the template information in the Instrument Response Function will be
     added. Using ``AEFF`` a background model based on the shape of the effective
     area will be added. Using ``CUBE`` a background model for stacked analysis
-    will be added.
+    will be added. Using ``RACC`` a radial acceptance model will be added.
 ``threshold [real]``
     Detection threshold (Gaussian sigma). Only sources above this detection