{"paper":{"title":"SANEPIC: A Map-Making Method for Timestream Data From Large Arrays","license":"","headline":"","cross_cats":[],"primary_cat":"astro-ph","authors_text":"C. B. Netterfield, C. Semisch, C. Tucker, D. H. Hughes, D. Scott, D. V. Wiebe, E. L. Chapin, E. Pascale, G. Marsden, G. Patanchon, G. S. Tucker, J. J. Bock, J. Klein, J. O. Gundersen, L. Olmi, M. D. P. Truch, M. Griffin, M. Halpern, M. J. Devlin, M. P. Viero, M. Rex, P. A. R. Ade, P. C. Hargrave, P. G. Martin, P. Mauskopf, S. Dicker","submitted_at":"2007-11-23T17:23:19Z","abstract_excerpt":"We describe a map-making method which we have developed for the Balloon-borne Large Aperture Submillimeter Telescope (BLAST) experiment, but which should have general application to data from other submillimeter arrays. Our method uses a Maximum Likelihood based approach, with several approximations, which allows images to be constructed using large amounts of data with fairly modest computer memory and processing requirements. This new approach, Signal And Noise Estimation Procedure Including Correlations (SANEPIC), builds upon several previous methods, but focuses specifically on the regime "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"0711.3462","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/0711.3462/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"}