The SWIFT BAT Software Guide Version 6.3 30 ... - HEASARC - Nasa
The SWIFT BAT Software Guide Version 6.3 30 ... - HEASARC - Nasa
The SWIFT BAT Software Guide Version 6.3 30 ... - HEASARC - Nasa
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50 CHAPTER 5. <strong>BAT</strong> ANALYSIS PROCEDURES<br />
Figure 5.6: Bright point source in a <strong>BAT</strong> sky image.<br />
5.8.8 Making a Partial Coding Image<br />
As described elsewhere, the <strong>BAT</strong> has a large field of view with a large variation in sensitivity. <strong>The</strong><br />
partial coding map describes the fraction of the detector array which is illuminated by each point<br />
on the sky. To make a partial coding map, issue the following command,<br />
batfftimage infile=flare.dpi outfile=flare.pcodeimg attitude=../../auxil/sw00145675000sat.fits<br />
bkgfile=bkg.dpi detmask=../hk/sw00145675000bcbdq.hk.gz clobber=YES pcodemap=YES<br />
Note that the only change from the previous call is to use the parameter “pcodemap=YES”,<br />
and to change the output file name.<br />
5.9 Detecting Sources in <strong>BAT</strong> Images<br />
This thread describes how to perform blind source detection in <strong>BAT</strong> sky images using the ‘batcelldetect’<br />
task. It also describes how to measure the intensities of known sources.<br />
5.9.1 Introduction<br />
<strong>BAT</strong> sky images are very wide field, covering almost 1/8th of the sky at any one time with at<br />
least some partial coding. <strong>BAT</strong> images have noise properties which are different than most soft<br />
X-ray images. Mostly importantly, <strong>BAT</strong> images have a gaussian noise distribution. Furthermore,<br />
the noise level varies throughout the image. Image tools designed for soft X-ray astronomy, like<br />
XIMAGE, are not suited to handle <strong>BAT</strong> images.<br />
<strong>The</strong> software task batcelldetect can be used to both detect new sources blindly, and to measure<br />
the intensities of sources at known positions. batcelldetect uses the sliding cell method to measure<br />
the local noise properties everywhere in the image, and to find local excesses. A similar, but simpler<br />
method is used by the <strong>BAT</strong> on-board computer to locate gamma-ray bursts.<br />
In this section we will discuss two cases: