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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52 CHAPTER 5. <strong>BAT</strong> ANALYSIS PROCEDURES<br />
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# batcelldetect v1.60<br />
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...<br />
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Found 1 Images (and selected 1 images)<br />
Analyzing Image: 1<br />
Detection Iteration 1<br />
Found 21 cumulative pixels<br />
Detection Iteration 2<br />
Found 21 cumulative pixels<br />
Detected 1 sources<br />
# RAcent DECcent POSerr <strong>The</strong>ta Phi Peak Cts SNR Name<br />
320.5664 +77.0719 0.0069 33.0 114.3 5.0688 28.2 UNKNOWN<br />
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batcelldetect works in two passes. In the first pass, it scans for groups of pixels above the noise<br />
level. <strong>The</strong> “Found NN cumulative pixels” messages shows that batcelldetect found some strong<br />
excess pixels. In the second pass, batcelldetect fits a point spread function to each excess in order<br />
to refine the position and intensity. Finally, it prints a report of the detected sources.<br />
In this particular case, batcelldetect found one source. <strong>The</strong> “RAcent,DECcent” columns give<br />
the best-fit position in celestial coordinates. <strong>The</strong>ta and Phi are the position in <strong>BAT</strong> instrumental<br />
coordinates. “Peak Cts” gives the best-fit peak intensity. <strong>The</strong> name is “UNKNOWN” because we<br />
performed a blind search with no input catalog.<br />
SNR gives the local signal to noise ratio for that source. In this case the signal to noise ratio is<br />
28.2, indicating a highly significant detection. Please note that the position centroid uncertainty<br />
depends systematically on the signal to noise ratio, as documented in the <strong>BAT</strong> calibration reports.<br />
In some cases, the formal statistical centroid error will be too small. Scientists should use the<br />
guidance in the calibration reports in order to determine a more conservative position error.<br />
<strong>The</strong> region file, called preslew.reg in this example, can be loaded into an image viewer like DS9<br />
to highly the detected sources. Highly significant sources are highlighted in green. Weak sources<br />
appear in blue.<br />
<strong>The</strong> Output Catalog<br />
While some simple diagnostic data is printed to the console, a much larger amount of information is<br />
saved in the output catalog. This file contains a detailed accounting of every image excess analyzed<br />
by batcelldetect. More information about the contents of this file can be found in the documentation<br />
for batcelldetect.<br />
Lowering the Threshold?<br />
<strong>The</strong> significance threshold in the example above was “5” meaning that an excess must be at least<br />
5 sigma above the local noise level to be detected. Knowing that the single-trial probability of<br />
detecting a >5 sigma excess by chance is less than 10 -6 , users might be tempted to lower the<br />
threshold. However, users should bear in mind that there are of order <strong>30</strong>0000 independent pixels in