XMM-Newton Science Analysis System


mosspectra (mosspectra-0.20.3) [22.0.0-9173c7d25-20250127]

Algorithm

Read in params

set ccddef evselect expression based on ccds chosen by user

set cornerdef evselect expression for corner-only selections

set ccddef(7) evselect expression for chosen-ccds selections

set fulldef evselect expression for full FOV selections

if maskitsky, set maskitsky filename add bkg-reg to selections

if maskitdet, set maskitdet filename add bkg-reg to selections

if withregion open, read region selection from input reg text file

run atthkgen to create atthk.fits unless it already exists

create corner only event file with evselect from cleaned event file

create FOV image file with evselect from cleaned event file 

create FOV exposure map with eexpmap from cleaned event file, 
atthk.fits, and FOV image

create FOV mask with emask from FOV image

if (withbands) then

 create FOV image in region in selected band (elow-ehigh) with evselect 

 create FOV exposure map with eexpmap from cleaned event file
 
 create FOV mask with emask from FOV image 

end if (withbands)

create spectrum from FOV region, run backscale, generate response

create response from FOV spectrum with rmfgen 

create response from FOV spectrum with arfgen 

if (withbands) then 
 create FOV image in region in selected band (elow-ehigh) with evselect

 create FOV exposure map with eexpmap from cleaned event file
 
 create FOV mask with emask from FOV image 

endif

foreach ccd selected (1-7)
 create spectrum for FOV of region
 backscale spectrum
 
 create spectrum for corner-only data 
 backscale spectrum

 create temp eventlist from corner-only data (temp_events.fits)
 extract cnts and livetimNN 

 rm temp_events.fits 

 rate = (cnts/livetime)* 100 

 rm temp_events.fits

 create temp eventlist from corner-only data (temp_events.fits)
 PI in 500-800
 extract lowe 

 rm temp_events.fits

 create temp eventlist from corner-only data (temp_events.fits)
 PI in 2500-5000
 extract hige 
 
 rm temp_events.fits

 rm temp_events.fits

 calculate hardness ratio: 
 hard = hige/lowe

 create spectrum from the region from the FWC data
 backscale spectrum

 create spectrum from the corners from the FWC data 
 backscale spectrum

 if (withbands) then
  create image of FWC data for the region and the band 

  create FWC mask with emask from FWC image 

  mask FWC image with farith 

  rename FWC image: 
  mv mos1S002-maskim2-350-1100-mask.fits mos1S002-im2-350-1100.fits

  create FWC mask with emask from FWC OOT image 

 end withbands
end foreach ccd

rm intermediary files

end mosspectra