{"paper":{"title":"Cosmic CARNage I: on the calibration of galaxy formation models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.GA","authors_text":"Adam R. H. Stevens, Alexander Knebe, Andrea Cattaneo, Andreea Font, Andr\\'es N. Ruiz, Andrew Benson, Arnau Pujol, Bruno Henriques, Chaichalit Srisawat, Chris Power, Cristian A. Vega-Mart\\'inez, Daniel Cunnama, Darren J. Croton, Edouard Tollet, Fabio Fontanot, Francisco J. Castander, Frazer R. Pearce, Gary A. Mamon, Ignacio D. Gargiulo, Jaehyun Lee, Jeremy Blaizot, John Helly, Jorge Carretero, Julian Onions, Julien E. Devriendt, Nelson D. Padilla, Pascal J. Elahi, Peter A. Thomas, Rachel Asquith, Richard Bower, Sofia A. Cora, Sukyoung K. Yi, Violeta Gonzalez-Perez, Weiguang Cui","submitted_at":"2017-12-18T14:30:28Z","abstract_excerpt":"We present a comparison of nine galaxy formation models, eight semi-analytical and one halo occupation distribution model, run on the same underlying cold dark matter simulation (cosmological box of co-moving width 125$h^{-1}$ Mpc, with a dark-matter particle mass of $1.24\\times 10^9 h^{-1}$ Msun) and the same merger trees. While their free parameters have been calibrated to the same observational data sets using two approaches, they nevertheless retain some 'memory' of any previous calibration that served as the starting point (especially for the manually-tuned models). For the first calibrat"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1712.06420","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"}