Sys-Rem -- A new algorithm to remove systematic effects in large photometric datasets: application to OGLE and SuperWASP lightcurves

Details Sys-Rem -- A new algorithm to remove systematic effects in large photometric datasets: application to OGLE and SuperWASP lightcurves Sys-Rem -- A new algorithm to remove systematic effects in large photometric datasets: application to OGLE and SuperWASP lightcurves

Feb 2006

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2006tafp.conf..165m&link_type=abstract

"Tenth Anniversary of 51 Peg-b: Status of and prospects for hot Jupiter studies. Colloquium held at Observatoire de Haute Proven

Computer Science

1

Scientific paper

We constructed a new algorithm, Sys-Rem, to remove systematic effects in a large set of lightcurves obtained by a photometric survey. The algorithm can remove any systematic effect, like the one associated with atmospheric extinction, detector efficiency, or PSF changes over the detector. Sys-Rem works without any prior knowledge of the effect, as long as it linearly appears in many stars of the sample. The algorithm, which was originally developed to remove atmospheric extinction effects, is based on a lower rank approximation of matrices, and reduces to the Principal Components Analysis (PCA) algorithm for equal uncertainties. Sys-Rem is therefore specially useful in cases where the uncertainties of the measurements are unequal. Application of Sys-Rem to the OGLE and the SuperWASP dataset demonstrates the power of the algorithm.

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