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XMM-Newton Science Analysis System


edetect_chain (edetect_chain-3.17) [xmmsas_20211130_0941-20.0.0]

Parameters

This section documents the parameters recognized by this task (if any).

ParameterMand Type Default Constraints
attitudesetyesfilenameattitude.fits 
Name of attitude file
 
eventsetsyesfilename listevents.fits 
Names of event list files
 
imagesetsyesfilename listimage.fits 
Names of input images
 
piminyesinteger list5000,20000
Lower energy boundaries of images; units: eV; one value per input image and up to six energy bands per instrument.
 
pimaxyesinteger list45000,20000
Upper energy boundaries of images; units: eV; one value per input image and up to six energy bands per instrument.
 
likeminnofloat10.0.0,1.E10
emldetect: Detection likelihood threshold
 
witheexpmapnobooleantrue 
create new exposure maps?
 
ecfnofloat1.0.,1000.
eboxdetect, emldetect: Energy conversion factors
 
eex_attrebinnofloat4.00.0,60.0
eexpmap: Positional accuracy of attitude rebinning [arcsec]
 
emask_threshold1nofloat0.30.0,1.0
emask: Threshold parameter 1: fraction of maximum exposure
 
emask_threshold2nofloat0.50.0,10.0
emask: Threshold parameter 2: threshold for gradient of exposure
 
eboxl_listnofilenameeboxlist_l.fits 
eboxdetect: Name of local mode source list
 
eboxm_listnofilenameeboxlist_m.fits 
eboxdetect: Name of map mode source list
 
eboxl_likeminnofloat8.1.0,50.0
eboxdetect: Local mode minimum detection likelihood
 
eboxm_likeminnofloat8.1.0,50.0
eboxdetect: Map mode minimum detection likelihood
 
ebox_withdetmasknobooleantrue 
eboxdetect: Detection mask flag
 
ebox_withexpimagenobooleantrue 
eboxdetect: Exposure image flag
 
ebox_boxsizenointeger53,5
eboxdetect: Detection box size: permitted values: 3 or 5
 
esp_withcheesenobooleanfalse 
esplinemap: Flag for output of cheesed image
 
esp_withdetmasknobooleantrue 
esplinemap: Flag to use detection mask
 
esp_nsplinenodesnointeger135,20
esplinemap: Number of spline nodes
 
esp_nfitrunnointeger31,5
esplinemap: Number of iterations
 
esp_excesssigmanofloat4.01.0,6.0
esplinemap: Threshold for excess with respect to spline
 
esp_withexpimagenobooleantrue 
esplinemap: Flag to use exposure map
 
esp_withexpimage2nobooleanfalse 
esplinemap: Flag to use non-vignetted exposure map in “model” mode
 
esp_fitmethodnostring“spline”spline|model
esplinemap: Method for background fitting
 
esp_scutnofloat0.0050.0,10.0
esplinemap: Source cut-out flux level, [counts/arcsec$^2$]
 
esp_withootsetnobooleanfalse 
esplinemap: Flag to use out-of-time event set
 
esp_ooteventsetnofilenameevents.fits 
esplinemap: EPN out-of-time event set
 
eml_listnofilenameemllist.fits 
emldetect: Name of source list
 
eml_fitextentnobooleantrue 
emldetect: Fit source extent
 
eml_fitnegativenobooleanfalse 
emldetect: Allow fitted count rates to become negative
 
eml_dmlextminnofloat6.0.0,100.
emldetect: Extent likelihood threshold
 
eml_ecutnofloat150.4,100.
emldetect: Event cut-out radius (if .lt. 1.0: fraction of encircled energy, else pixels)
 
eml_scutnofloat150.4,100.
emldetect: Source cut-out radius for multiple source fits (if .lt. 1.0: fraction of encircled energy, else pixels)
 
eml_determineerrorsnobooleantrue 
emldetect: Determine statistical errors
 
eml_nmaxfitnointeger11,6
emldetect: Maximum number of sources to be fit simultaneously in multi-source fits
 
eml_nmulsounointeger11,3
emldetect: Maximum number of sources per input source position
 
eml_withsourcemapnobooleantrue 
emldetect: Creation of output source map
 
eml_withdetmasknobooleanfalse 
emldetect: Use detector mask(s)
 
eml_extentmodelnostring“beta”gaussian|beta
emldetect: Model function for source extent
 
eml_withthresholdnobooleantrue 
emldetect: Flag to use likelihood/brightness threshold for multi-PSF fitting
 
eml_thresholdnofloat20.0.0,1.E10
emldetect: Threshold above which multi-PSF fitting is used
 
eml_withtwostagenobooleantrue 
emldetect: Use two stage process for multi PSF (eml_nmulsou $>$ 1) fitting
 
eml_threshcolumnnostring“LIKE”LIKE|RATE|SCTS
emldetect: Input list column to apply threshold
 
eml_maxextentnofloat20.0.1,300.
emldetect: Maximum extent value in pixels
 
psfmodelnostringellbetaellbeta|medium
emldetect: Model PSF – fully 2d parameterized analytical EPIC PSFs or medium accuracy PSF
 
imagebuffersizenointeger640100$<$param$<$10000
eboxdetect, emldetect: Controls memory requirements for raster scan data.
 
withimagebuffersizenobooleanno 
eboxdetect,emldetect: Allow user-defined values of imagebuffersize.
 
esen_mlminnofloat10.0.1,1.E10
esensmap: Upper limit likelihood
 
ParameterMand Type Default Constraints

XMM-Newton SOC -- 2021-11-30