{"paper":{"title":"IMAGINE: Testing a Bayesian pipeline for Galactic Magnetic Field model optimization","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.IM","authors_text":"6525 AJ Nijmegen, Ellert van der Velden (1) ((1) Department of Astrophysics/IMAPP, Heyendaalseweg 135, Radboud University, the Netherlands)","submitted_at":"2018-04-30T02:36:52Z","abstract_excerpt":"This work contains the details and results of my master's project on testing the IMAGINE pipeline for Galactic magnetic field estimation. The project was carried out from early 2016 to early 2017. For it, an unpublished early development version of the IMAGINE pipeline was tested and debugged. The thesis reports about the kind of difficulties faced when dealing with high dimensional complex parametric Galactic magnetic field models. It was found that such models require extra caution to allow for dependencies between parameters and model implementation errors, which need to be taken into accou"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1804.11028","kind":"arxiv","version":2},"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"}