Imtrandetect: A New Tool/methodology For Detecting Astronomical Transients From Large Image-data Streams

Details Imtrandetect: A New Tool/methodology For Detecting Astronomical Transients From Large Image-data Streams Imtrandetect: A New Tool/methodology For Detecting Astronomical Transients From Large Image-data Streams

Jan 2012

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2012aas...21943003m&link_type=abstract

American Astronomical Society, AAS Meeting #219, #430.03

Statistics

Methodology

Scientific paper

One of the challenges in current and future time-domain surveys is to identify reliable candidate transient and variable sources for further follow-up and classification (if possible). We describe a new methodology for optimally detecting transients from multi-epoch image data, with an emphasis on minimizing contamination from instrumental artifacts and glitches. The method is based on collapsing prior-masked image stacks into various metric-statistic images for later thresholding and object detection. The stacking is performed in moving windows along the time-ordered image sequence where window lengths are tuned to maximize the sensitivity of the metrics for detecting intermittent local transient behavior above the baseline noise traced by the full time-series of each pixel signal. We show example light curves generated by the tool, from testing on image data containing known transients and variables from the Catalina Real-time Transient Survey (CRTS) and the Wide-field Infrared Survey Explorer (WISE). We also show the light curves of some new interesting candidate transients and variables found in these test fields.

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