Statistics – Computation
Scientific paper
Dec 2009
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2009pasp..121.1429z&link_type=abstract
Publications of the Astronomical Society of the Pacific, Volume 121, issue 886, pp.1429-1439
Statistics
Computation
3
Data Analysis And Techniques
Scientific paper
We have devised an aperture photometry pipeline for data reduction of image data from the Taiwanese-American Occultation Survey (TAOS). The photometry pipeline has high computational performance, and is capable of real-time photometric reduction of images containing up to 1000 stars, within the sampling rate of 5 Hz. The pipeline is optimized for both speed and signal-to-noise performance, and in the latter category it performs nearly as well as DAOPHOT. This paper provides a detailed description of the TAOS aperture photometry pipeline.
Alcock Charles
Axelrod Tim
Bianco Federica B.
Byun Yong-Ik.
Chen Wang-Ping
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