ersensmap

erosita/ersensmap-1.0

Summary:

Calculate eROSITA sensitivity maps

Description:

The task ERSENSMAP uses eSASS exposure maps (expimages) and background maps (bkgimages) to calculate the expected detection sensitivity for point sources or extended sources. The detection sensitivity (average source flux required to reach a given detection likelihood) can be calculated for the algorithm employed by the task ERBOX ( method=APER) or for PSF fitting using the Cash statistics (as used by the task ERMLDET, ( method=FIT). The simultaneous detection on several input images can be modelled by providing more than one exposure map and background map. The spectral properties of the sources can be modelled by providing an energy conversion factor for each input image (parameter ecf). When using method="FIT", extended sources can be modelled (parameters extflag, ext, extmodel). As optional output a FITS table containing the cumulative sky area as a function of detectable flux can be written (parameters area_flag, area_table).

Parameters:

Input files:

Output files:

Output files:

Examples:

Calculate sensitivity map and area table for 9x9 pixel box apertures:
ersensmap expimages="expmap.fits" \
          bkgimages="bkgmap.fits" \
          detmasks="detmask.fits" \
          sensimage="sensmap_box.fits" \
          emin="500." \
          emax="2000." \
          ecf="1.22246e+12" \
          method="APER" \
          aper_type="BOX" \
          aper_size=4.5 \
          likemin=8. \
          detmask_flag="Y" \
          shapelet_flag="N" \
          photon_flag="N" \
          area_table="survarea_box.fits" \
          area_flag="Y"

Calculate sensitivity map for the detection of extended sources with beta-model (core radius = 5 pix):

ersensmap expimages="expmap.fits" \
          bkgimages="bkgmap.fits" \
          detmasks="detmask.fits" \
          sensimage="sensmap_fit_ext.fits" \
          emin="500." \
          emax="2000." \
          ecf="1.22246e+12" \
          method="FIT" \
          aper_type="BOX" \
          aper_size=4.5 \
          likemin=8. \
          detmask_flag="Y" \
          shapelet_flag="N" \
          photon_flag="N" \
          area_table="survarea_fit.fits" \
          area_flag="Y" \
          ext_flag="Y" \
          extentmodel="beta" \
          ext=5.0