A box-fitting algorithm in the search for periodic transits

By G. Kovacs, S. Zucker, T. Mazeh. 2002

893 citations recorded by the source corpus.

We study the statistical characteristics of a box-fitting algorithm to analyze stellar photometric time series in the search for periodic transits by extrasolar planets. The algorithm searches for signals characterized by a periodic alternation between two discrete levels, with much less time spent at the lower level. We present numerical as well as analytical results to predict the possible detection significance at various signal parameters. It is shown that the crucial parameter is the eective signal-to-noise ratio - the expected depth of the transit divided by the standard deviation of the measured photometric average within the transit. When this parameter exceeds the value of 6 we can expect a significant detection of the transit. We show that the box-fitting algorithm performs better than other methods available in the astronomical literature, especially for low signal-to-noise ratios.

Subfields: Astronomy and Astrophysics, Instrumentation, Statistical and Nonlinear Physics

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In Astronomy and Astrophysics

  1. D. Charbonneau
  2. J. Southworth
  3. Timothy Morton
  4. J. Winn
  5. Jon Fortney
  6. J. Johnson
  7. G. Marcy
  8. Andrew W. Howard

In Instrumentation

  1. D. Charbonneau
  2. J. Southworth
  3. J. Winn
  4. Timothy Morton
  5. Jon Fortney
  6. J. Johnson
  7. G. Marcy
  8. Andrew W. Howard

In Statistical and Nonlinear Physics

  1. D. Charbonneau
  2. Timothy Morton
  3. J. Winn
  4. Andrew Vanderburg
  5. C. Dressing
  6. Andrew W. Howard
  7. E. Petigura
  8. G. Marcy

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