The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
A trend filtering algorithm for wide-field variability surveys
Open accessAbstract
We show that various systematics related to certain instrumental effects and data reduction anomalies in wide-field variability surveys can be efficiently corrected by a trend filtering algorithm (TFA) applied to the photometric time-series produced by standard data pipelines. Statistical tests, performed on the data base of the HAT Network project, show that by the application of this filtering method the cumulative detection probability of periodic transits increases by up to 0.4 for variables brighter than 11 mag, with a trend of increasing efficiency toward brighter magnitudes. We also show that the TFA can be used for the reconstruction of periodic signals by iteratively filtering out systematic distortions.
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Cites
DAOPHOT - A computer program for crowded-field stellar photometry
Stetson, P. B. (1987) · Publications of the Astronomical Society of the Pacific · doi:10.1086/131977 · Cited by 4,694
A Method for Optimal Image Subtraction
Alard, C., & Lupton, R. H. (1998) · The Astrophysical Journal · doi:10.1086/305984 · Cited by 1,387
A box-fitting algorithm in the search for periodic transits
Kovács, G., Zucker, S., & Mazeh, T. (2002) · Astronomy & Astrophysics · doi:10.1051/0004-6361:20020802 · Cited by 995
Self-citationImage subtraction using a space-varying kernel
Alard, C. (2000) · Astronomy and Astrophysics Supplement Series · doi:10.1051/aas:2000214 · Cited by 838
Wide‐Field Millimagnitude Photometry with the HAT: A Tool for Extrasolar Planet Detection
Bakos, G., Noyes, R. W., Kovács, G., Stanek, K. Z., Sasselov, D. D., & Domsa, I. (2004) · Publications of the Astronomical Society of the Pacific · doi:10.1086/382735 · Cited by 559
Self-citationTrES-1: The Transiting Planet of a Bright K0 V Star
Alonso, R., Brown, T. M., Torres, G., Latham, D. W., Sozzetti, A., Mandushev, G., Belmonte, J. A., Charbonneau, D., Deeg, H. J., Dunham, E. W., et al. (2004) · The Astrophysical Journal · doi:10.1086/425256 · Cited by 456
Expected Detection and False Alarm Rates for Transiting Jovian Planets
Brown, T. M. (2003) · The Astrophysical Journal · doi:10.1086/378310 · Cited by 207
The “missing link”: A 4-day period transiting exoplanet around OGLE-TR-111
Pont, F., Bouchy, F., Queloz, D., Santos, N. C., Melo, C., Mayor, M., & Udry, S. (2004) · Astronomy & Astrophysics · doi:10.1051/0004-6361:200400066 · Cited by 163
Photometric Transits from the MACHO Project Database
Drake, A. J., & Cook, K. H. (2004) · The Astrophysical Journal · doi:10.1086/381868 · Cited by 38
Period analysis at high noise level
Kov�cs, G. (1980) · Astrophysics and Space Science · doi:10.1007/bf00661932 · Cited by 13
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A super-Earth transiting a nearby low-mass star
Charbonneau, D., Berta, Z. K., Irwin, J., Burke, C. J., Nutzman, P., Buchhave, L. A., Lovis, C., Bonfils, X., Latham, D. W., Udry, S., et al. (2009) · Nature · doi:10.1038/nature08679 · Cited by 797
Hartman, J. D., Gaudi, B. S., Holman, M. J., McLeod, B. A., Stanek, K. Z., Barranco, J. A., Pinsonneault, M. H., Meibom, S., & Kalirai, J. S. (2009) · The Astrophysical Journal · doi:10.1088/0004-637x/695/1/336 · Cited by 51
Metadata
- Authors
- Kovács, G., Bakos, G., & Noyes, R. W.
- Venue
- Monthly Notices of the Royal Astronomical Society
- Publisher
- Oxford University Press (OUP)
- Published
- 2005-01
- Volume
- 356
- Issue
- 2
- Pages
- 557-567
- ISSN
- 0035-8711 (ISSN-L)
- 1365-2966
- OpenAlex
- W2168799422
- Cited by
- 286
- References
- 10
- FWCI
- 2.95
- Type
- journal article
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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