{"paper":{"title":"BeyondPlanck II. CMB map-making through Gibbs sampling","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.CO","authors_text":"A. Karakci, A. Mennella, A.-S. Suur-Uski, A. Zacchei, B. Hensley, B. Partridge, C. Franceschet, D. Herman, D. J. Watts, D. Maino, D. Tavagnacco, E. Gjerl{\\o}w, E. Keih\\\"anen, G. Maggio, H. K. Eriksen, H. Thommesen, H. T. Ihle, I. K. Wehus, J. B. Jewell, K. J. Andersen, L. P. L. Colombo, M. Bersanelli, M. Brilenkov, M. Carbone, M. Galloway, M. Iacobellis, M. Ieronymaki, M. K. Foss, M. Maris, M. Reinecke, M. Tomasi, R. Aurlien, R. Banerji, R. Keskitalo, S. Bertocco, S. Galeotta, S. Gerakakis, S. Paradiso, T. L. Svalheim, U. Fuskeland","submitted_at":"2020-11-11T19:22:06Z","abstract_excerpt":"We present a Gibbs sampling solution to the map-making problem for CMB measurements, building on existing destriping methodology. Gibbs sampling breaks the computationally heavy destriping problem into two separate steps; noise filtering and map binning. Considered as two separate steps, both are computationally much cheaper than solving the combined problem. This provides a huge performance benefit as compared to traditional methods, and allows us for the first time to bring the destriping baseline length to a single sample. We apply the Gibbs procedure to simulated Planck 30 GHz data. We fin"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2011.06024","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/2011.06024/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"}