{"paper":{"title":"BeyondPlanck IV. On end-to-end simulations in CMB analysis -- Bayesian versus frequentist statistics","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.CO","authors_text":"A.Basyrov, A.Battista, A.Karakci, A. Marins, A.-S.Suur-Uski, A.Zacchei, B.Hensley, B.Partridge, C.Franceschet, D.Herman, D.J.Watts, D.Maino, D.Tavagnacco, E.Gjerlow, E.Keihanen, F.B.Abdalla, F.Rahman, G.A.Hoerning, G.Maggio, H.K.Eriksen, H.Thommesen, H.T.Ihle, I.K.Wehus, J.B.Jewell, J.R.Eskilt, K.J.Andersen, K.S.F.Fornazier, L.P.L.Colombo, L.T.Hergt, M.Bersanelli, M.Brilenkov, M.Galloway, M.Ieronymaki, M.K.Foss, M.Maris, M.Reinecke, M.Tomasi, N.-O.Stutzer, R.Aurlien, R.Banerji, R.Keskitalo, S.Bertocco, S.Bollanos, S.Galeotta, S.Gerakakis, S.Paradiso, T.D.Hoang, T.L.Svalheim, T.Murokoshi, U.Fuskeland, Y. Zhou","submitted_at":"2022-09-09T17:51:13Z","abstract_excerpt":"End-to-end simulations play a key role in the analysis of any high-sensitivity CMB experiment, providing high-fidelity systematic error propagation capabilities unmatched by any other means. In this paper, we address an important issue regarding such simulations, namely how to define the inputs in terms of sky model and instrument parameters. These may either be taken as a constrained realization derived from the data, or as a random realization independent from the data. We refer to these as Bayesian and frequentist simulations, respectively. We show that the two options lead to significantly"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2209.04437","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/2209.04437/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"}