{"paper":{"title":"Direct Estimate of Cirrus Noise in Herschel Hi-GAL Images","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["astro-ph.IM"],"primary_cat":"astro-ph.GA","authors_text":"A.M. DiGiorgio, A. Noriega-Crespo, A. Roy, A. Traficante, C. Brunt, D. Elia, F. Faustini, F. Strafella, G. Joncas, J.C. Mottram, J.F. Robitaille, J.-P. Bernard, L. Calzoletti, M.-A. Miville-Deschenes, M. Veneziani, N. Billot, P.G. Martin, P. Natoli, R. Paladini, S. Molinari","submitted_at":"2010-05-17T23:21:33Z","abstract_excerpt":"In Herschel images of the Galactic plane and many star forming regions, a major factor limiting our ability to extract faint compact sources is cirrus confusion noise, operationally defined as the \"statistical error to be expected in photometric measurements due to confusion in a background of fluctuating surface brightness\".  The histogram of the flux densities of extracted sources shows a distinctive faint-end cutoff below which the catalog suffers from incompleteness and the flux densities become unreliable.  This empirical cutoff should be closely related to the estimated cirrus noise and "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1005.3076","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":""},"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"}