Volume 522, November 2010
|Number of page(s)||8|
|Published online||05 November 2010|
An algorithm for correcting CoRoT raw light curves⋆
Hamburger Sternwarte, Gojenbergsweg 112, 21029
2 Institute of Astronomy, University of Cambridge, Madingley Road, Cambridge, CB3 0HA, UK
3 Rheinisches Institut für Umweltforschung, Abteilung Planetenforschung, an der Universität Köln, Aachener Str. 209, 50931 Köln, Germany
4 Thüringer Landessternwarte Tautenburg , Sternwarte 5, 07778 Tautenburg, Germany
Accepted: 13 July 2010
We introduce the CoRoT detrend algorithm (CDA) for detrending CoRoT stellar light curves. The algorithm CDA has the capability to remove random jumps and systematic trends encountered in typical CoRoT data in a fully automatic fashion. Since enormous jumps in flux can destroy the information content of a light curve, such an algorithm is essential. From a study of 1030 light curves in the CoRoT IRa01 field, we developed three simple assumptions upon which CDA is based. We describe the algorithm analytically and provide some examples of how it works. We demonstrate the functionality of the algorithm in the cases of CoRoT0102702789, CoRoT0102874481, CoRoT0102741994, and CoRoT0102729260. Using CDA in the specific case of CoRoT0102729260, we detect a candidate exoplanet around the host star of spectral type G5, which remains undetected in the raw light curve, and estimate the planetary parameters to be Rp = 6.27 RE and P = 1.6986 days.
Key words: methods: data analysis / surveys / techniques: photometric / planets and satellites: detection
The code is only available in electronic form at the CDS via anonymous ftp to cdsarc.u-strasbg.fr (188.8.131.52) or via http://cdsarc.u-strasbg.fr/viz-bin/qcat?J/A+A/522/A86
© ESO, 2010
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.