The TAOS Project: High-Speed Crowded Field Aperture Photometry

Z. W. Zhang, D. W. Kim, J. H. Wang, M. J. Lehner, W. P. Chen, Y. I. Byun, C. Alcock, T. Axelrod, F. B. Bianco, N. K. Coehlo, K. H. Cook, R. Dave, I. De Pater, J. Giammarco, S. K. King, T. Lee, H. C. Lin, S. L. Marshall, R. Porrata, P. ProtopapasJ. A. Rice, M. E. Schwamb, S. Y. Wang, C. Y. Wen

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

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.

Original languageEnglish
Pages (from-to)1429-1439
Number of pages11
JournalPublications of the Astronomical Society of the Pacific
Volume121
Issue number886
DOIs
StatePublished - Dec 2009

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