{"paper":{"title":"Bias versus variance when fitting multi-species molecular lines with a non-LTE radiative transfer model","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.AP"],"primary_cat":"astro-ph.GA","authors_text":"Albrecht Sievers, Annie Hughes, Antoine Roueff (IM2NP), Antoine Zakardjian, Dariusz C Lis, David Languignon, Emeric E. Bron (ICMM), Evelyne Roueff, Fran\\c{c}ois Levrier, Franck Le Petit, GIPSA-lab), Harvey Liszt, Ivana Be\\v{s}li\\'c, Jacques Le Bourlot, Jan Orkisz, Javier Goicoechea, J\\'er\\^ome Pety (IRAM, Karine Demyk (IRAP), L\\'eontine S\\'egal (IRAM), LERMA), LERMA (UMR\\_8112)), Lucas Einig (IRAM, Maryvonne Gerin, M. Gaudel (LERMA), Miriam Santa-Maria, Nicolas Peretto, Pierre-Antoine Thouvenin (CRIStAL), Pierre Chainais (CRIStAL), Pierre Gratier, Pierre Palud (CRIStAL, Sebastien Bardeau, Simon Coud\\'e, Victor de Souza Magalhaes, Viviana Guzman Veloso","submitted_at":"2024-03-29T08:47:37Z","abstract_excerpt":"Robust radiative transfer techniques are requisite for efficiently extracting the physical and chemical information from molecular rotational lines.We study several hypotheses that enable robust estimations of the column densities and physical conditions when fitting one or two transitions per molecular species. We study the extent to which simplifying assumptions aimed at reducing the complexity of the problem introduce estimation biases and how to detect them.We focus on the CO and HCO+ isotopologues and analyze maps of a 50 square arcminutes field. We used the RADEX escape probability model"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.20057","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/2403.20057/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"}