{"paper":{"title":"The SARS algorithm: detrending CoRoT light curves with Sysrem using simultaneous external parameters","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.EP","authors_text":"Alain Leger, Aldo Stefano Bonomo, Anders Erikson, Annie Baglin, Antoine Llebaria, Artie Hatzes, Aviv Ofir, Benjamin Samuel, Claire Moutou, Daniel Rouan, Didier Queloz, Francois Bouchy, Guenther Wuchterl, Hans J. Deeg, Heike Rauer, Helmut Lammer, Jean Schneider, Jorg Weingrill, Laurent Jorda, Ludmila Carone, Magali Deleuil, Malcolm Fridlund, Marc Ollivier, Martin Paetzold, Michel Auvergne, Michel Gillon, Pascal Borde, Pierre Barge, Roi Alonso, Rudolf Dvorak, Stefania Carpano, Suzanne Aigrain, Sylvio Ferraz Mello, Tristan Guillot","submitted_at":"2010-03-01T19:20:34Z","abstract_excerpt":"Surveys for exoplanetary transits are usually limited not by photon noise but rather by the amount of red noise in their data. In particular, although the CoRoT spacebased survey data are being carefully scrutinized, significant new sources of systematic noises are still being discovered. Recently, a magnitude-dependant systematic effect was discovered in the CoRoT data by Mazeh & Guterman et al. and a phenomenological correction was proposed. Here we tie the observed effect a particular type of effect, and in the process generalize the popular Sysrem algorithm to include external parameters i"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1003.0427","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"}