Statistics – Computation
Scientific paper
Sep 2009
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2009dps....41.4710p&link_type=abstract
American Astronomical Society, DPS meeting #41, #47.10
Statistics
Computation
Scientific paper
Digital co-addition of astronomical images is a well-known technique for increasing signal-to-noise and image depth. A modification of this simple technique can been applied to the detection of minor bodies in the Solar System: first stationary objects are removed through the subtraction of a high-SN template image, then the sky motion of the Solar System bodies of interest is predicted and compensated for by shifting pixels in software prior to the co-addition step. Here we present a novel probabilistic approach for determining an optimum set of non-linear shift vectors to apply to any image set given a desired region of orbital space to probe. This optimization allows us to apply this technique to data sets for which it was previously considered computationally prohibitive. We describe the application of this technique to CFHT MEGAPRIME data (acquired as part of the NGVS survey) to search for extremely faint and distant Sedna-like objects, and future applications such as large area surveys like LSST and Pan-STARRS.
This work is supported by the NSF-GRFP grant DGE-0836694.
Kavelaars John J.
Parker Alex
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