Statistics – Applications
Scientific paper
Jul 2006
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2006aspc..351..248t&link_type=abstract
Astronomical Data Analysis Software and Systems XV ASP Conference Series, Vol. 351, Proceedings of the Conference Held 2-5 Octob
Statistics
Applications
Scientific paper
We describe an image-processing technique through which we improve the chances of identifying image features representative of supernova remnants, the last stage of the life cycle of a high-mass star. Supernova remnants have a unique imaging signature, a high Hα to [SII] flux intensity ratio, the detection of which requires accurate continuum-subtraction of the narrow-band images. Since the success of this approach is highly dependent on the images having similar point-spread functions, the effectiveness of this procedure is greatly improved by matching the respective image point-spread functions before subtraction. We apply this technique to archival survey data of a Local Group Galaxy and discuss some issues regarding its most effective use. We present some initial results of our image processing procedures, and discuss some future applications.
Shearer Andrew
Tuairisg S. Ó.
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