{"paper":{"title":"The Transiting System GJ1214: High-Precision Defocused Transit Observations and a Search for Evidence of Transit Timing Variation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.EP","authors_text":"C. Liebig, C. Snodgrass, D. Nesvorn\\'y, D. Ricci, E. Kerins, F. Finet, F. Sch\\\"onebeck, G. Scarpetta, H. Kjeldsen, J. Skottfelt, J. Southworth, J. Surdej, J. Tregloan-Reed, K. A. Alsubai, K. B. W. Harps{\\o}e, K. C. Sahu, L. Mancini, M. Dominik, M. Hundertmark, M. J. Burgdorf, M. Lundkvist, M. Mathiasen, M. N. Lund, M. T. Penny, N. Kains, N. Nikolov, O. Wertz, P. Browne, P. Dodds, S. Calchi Novati, S. Hardis, S.-H. Gu, S. Proft, S. Rahvar, S. Sch\\\"afer, T. C. Hinse, T. Gerner, U. G. J{\\o}rgensen, V. Bozza, X.-S. Fang","submitted_at":"2012-07-12T19:05:11Z","abstract_excerpt":"Aims: We present 11 high-precision photometric transit observations of the transiting super-Earth planet GJ1214b. Combining these data with observations from other authors, we investigate the ephemeris for possible signs of transit timing variations (TTVs) using a Bayesian approach.\n  Methods: The observations were obtained using telescope-defocusing techniques, and achieve a high precision with random errors in the photometry as low as 1mmag per point. To investigate the possibility of TTVs in the light curve, we calculate the overall probability of a TTV signal using Bayesian methods.\n  Resu"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1207.3064","kind":"arxiv","version":2},"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"}