Transient Optical Sky Survey Data Pipeline--Object Identifcation and Characterization Algorithms

Details Transient Optical Sky Survey Data Pipeline--Object Identifcation and Characterization Algorithms Transient Optical Sky Survey Data Pipeline--Object Identifcation and Characterization Algorithms

Dec 2007

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2007aas...21113217h&link_type=abstract

American Astronomical Society, AAS Meeting #211, #132.17; Bulletin of the American Astronomical Society, Vol. 39, p.964

Astronomy and Astrophysics

Astronomy

Scientific paper

We describe the Transient Optical Sky Survey (TOSS) data pipeline, including photometric calibration, object detection algorithms, object identification and astrometry, and the statistical methods used to identify and assess possible transient events. The TOSS telescope system records a nightly series of fixed-declination images that are adjacent in right ascension. Each image is processed with flat-field and dark-frame corrections. Celestial objects are then isolated using a median-kernel background-subtraction algorithm. After identification of distinct objects with a two-pass connected-component search, area-normalized photometry is used to determine object intensity. Object location is established by sub-affine least-squares plate alignment to the USNO B1.0 star catalog. The derived object parameters are stored in a database, keyed by the corresponding star catalog identification number. Over time, the database accumulates a set of once-daily time-series observations for all celestial objects within the fixed-declination field of view for each telescope. To search for transients, the time-series observations are analyzed for significant variations, as compared to the variability of a set of baseline objects observed by the TOSS telescope array.

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