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A box-fitting algorithm in the search for periodic transits
Open accessAbstract
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 effective 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.
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“An optimized detection algorithm to search for transits is the Transit Least Squares (TLS) algorithm (Hippke & Heller 2019), which improves on the classical Box Least Squares transit searching algorithm (Kovács et al. 2002).”
From A search for transiting companions in the J1407 (V1400 Cen) system (2021) · cites this paper as Kovács et al. 2002
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Metadata
- Authors
- Kovács, G., Zucker, S., & Mazeh, T.
- Affiliations
- Konkoly Observatory (HU)
- Tel Aviv University (IL)
- ORCID
- Zucker, S.
- Venue
- Astronomy & Astrophysics
- Publisher
- EDP Sciences
- Published
- 2002-07-29
- Volume
- 391
- Issue
- 1
- Pages
- 369-377
- ISSN
- 0004-6361 (ISSN-L)
- 1432-0746
- OpenAlex
- W2120704067
- Cited by
- 995
- References
- 15
- Citations by year
- 2026: 39 · 2025: 53 · 2024: 72 · 2023: 69 · 2022: 75 · 2021: 69 · 2020: 64 · 2019: 86 · 2018: 79 · 2017: 49 · 2016: 62 · 2015: 40 · 2014: 32 · 2013: 37 · 2012: 22
- FWCI
- 5.71
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Astronomy and Astrophysics (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- CERN Document Server (European Organization for Nuclear Research) (submittedVersion)
- arXiv (Cornell University)
- Topics
- Physical Sciences › Physics and Astronomy › Astronomy and Astrophysics › Stellar, planetary, and galactic studies
- Physical Sciences › Physics and Astronomy › Instrumentation › Astronomy and Astrophysical Research
- Physical Sciences › Physics and Astronomy › Atomic and Molecular Physics, and Optics › Adaptive optics and wavefront sensing
- Keywords
- exoplanets, transit detection, signal-to-noise ratio, detection significance, transit depth, low signal-to-noise ratio
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