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Дата изменения: Mon Jul 9 03:54:59 2007
Дата индексирования: Tue Oct 2 07:11:14 2012
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XMM-Newton Science Analysis System Page: 1
boxdetect
July 8, 2007
Abstract
This task detects sources on an image. It is intended as an instrument-unspecic
replacement for the detection functionality of eboxdetect.
1 Instruments/Modes
Instrument Mode
2 Use
pipeline processing yes/no
interactive analysis yes/no
3 Description
This task is similar to eboxdetect in that it detects sources by comparing counts in a sliding square box
with the expectation value due solely to background. In fact the basic algorithm has been copied from
eboxdetect. The dierences between the two tasks are as follows:
1. boxdetect has no XMM dependence, so can be applied to single or mosaiced images from
any source. The XMM dependence of eboxdetect arises because eboxdetect corrects
source counts for PSF loss outside the square detection box and also calculates original
source ux. boxdetect does not do this.
2. boxdetect is designed to work in conjunction with imweightadd and thus provides the
ability to search for sources in weighted-sum images. This allows deeper detection when the
spectrum of the source is known.
3. boxdetect employs essentially the same confusion-detection algorithm as eboxdetect, ex-
cept that the dependence on source order has been removed.
See the imweightadd documentation for a description of the source detection algorithm.
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4 Parameters
This section documents the parameters recognized by this task (if any).
Parameter Mand Type Default Constraints
imagesets yes dataset
list
bkgmapsets yes dataset
list
withdetmaskset no bool no
detmaskset yes dataset
boxhalfsize no int 2 0 boxhalfsize
writebadmapset no bool no
badmapset no dataset badmap.ds
writelikemapset no bool no
likemapset no dataset likemap.ds
deleteconfused no bool no
lemode no string append append|create
srclistset no dataset srclist.ds
likemin no real 10.0 0 5 Errors
This section documents warnings and errors generated by this task (if any). Note that warnings and
errors can also be generated in the SAS infrastructure libraries, in which case they would not be docu-
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mented here. Refer to the index of all errors and warnings available in the HTML version of the SAS
documentation.
label (error)
explanation
label (warning)
corrective action: ********
6 Input Files
1. ********
7 Output Files
1. ********
8 Algorithm
********
9 Comments
********
References
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