The TAOS project: Statistical analysis of multi-telescope time series data

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

Research output: Contribution to journalArticlepeer-review

11 Citations (Scopus)


The Taiwanese-American Occultation Survey (TAOS) monitors fields of up to ∼1000 stars at 5 Hz simultaneously with four small telescopes to detect occultation events from small (∼1 km) Kuiper Belt Objects (KBOs). The survey presents a number of challenges, in particular the fact that the occultation events we are searching for are extremely rare and are typically manifested as slight flux drops for only one or two consecutive time series measurements. We have developed a statistical analysis technique to search the multi-telescope data set for simultaneous flux drops which provides a robust false-positive rejection and calculation of event significance. In this article, we describe in detail this statistical technique and its application to the TAOS data set.

Original languageEnglish
Pages (from-to)959-975
Number of pages17
JournalPublications of the Astronomical Society of the Pacific
Issue number894
Publication statusPublished - 2010 Aug

All Science Journal Classification (ASJC) codes

  • Astronomy and Astrophysics
  • Space and Planetary Science


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