{"paper":{"title":"A systematic fitting scheme for caustic-crossing microlensing events","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.GA","authors_text":"A. Cassan, A. Udalski, A. Williams, Ch. Coutures, C. Snodgrass, C. Vinter, D. Dominis Prester, D. Kubas, D.M. Bramich, D.P. Bennett, G. Pietrzynski, I. Soszynski, I. Steele, J.A.R. Caldwell, J.B. Marquette, J. Donatowicz, J. Greenhill, J. Menzies, J.-P. Beaulieu, J. Wambsganss, K.C. Sahu, K.H. Cook, K. Horne, K.R. Pollard, K. Ulaczyk, L. Wyrzykowski, M. Bode, M. Burgdorf, M.D. Albrow, M. Dominik, M.K. Szymanski, M. Kubiak, M. Zub, N. Kains, N. Rattenbury, O. Szewczyk, P. Fouque, R. Martin, S. Brillant, S. Dieters, S. Kane, T. Anguita, U.G. Jorgensen, V. Batista, Y. Tsapras","submitted_at":"2009-01-09T17:43:34Z","abstract_excerpt":"We outline a method for fitting binary-lens caustic-crossing microlensing events based on the alternative model parameterisation proposed and detailed in Cassan (2008). As an illustration of our methodology, we present an analysis of OGLE-2007-BLG-472, a double-peaked Galactic microlensing event with a source crossing the whole caustic structure in less than three days. In order to identify all possible models we conduct an extensive search of the parameter space, followed by a refinement of the parameters with a Markov Chain-Monte Carlo algorithm. We find a number of low-chi2 regions in the p"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"0901.1285","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/0901.1285/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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"}