{"paper":{"title":"The Gaia-ESO Survey: Matching Chemo-Dynamical Simulations to Observations of the Milky Way","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.GA","authors_text":"A. Bayo, A. Frasca, A. Hourihane, A.J. Korn, A. Lanzafame, A.R. Casey, A. Recio-Blanco, A. Serenelli, A. Vallenari, B.A. Macfarlane, B.B. Thompson, B.K. Gibson, C.C. Worley, C.G. Few, C. Lardo, E. Franciosini, E.J. Alfaro, E. Pancino, G. Carraro, G. Gilmore, G. Marconi, G. Sacco, G. Tautvaisiene, J. Lewis, L. Magrini, L. Monaco, L. Morbidelli, L. Prisinzano, M. Bergemann, M.T. Costado, P. de Laverny, P Donati, P. Francois, P. Jofre, S.E. Koposov, S.G. Sousa, S. Randich, S. Zaggia, T. Bensby, T. Masseron, U. Heiter, V. Hill","submitted_at":"2017-09-05T18:00:08Z","abstract_excerpt":"The typical methodology for comparing simulated galaxies with observational surveys is usually to apply a spatial selection to the simulation to mimic the region of interest covered by a comparable observational survey sample. In this work we compare this approach with a more sophisticated post-processing in which the observational uncertainties and selection effects (photometric, surface gravity and effective temperature) are taken into account. We compare a `solar neighbourhood analogue' region in a model Milky Way-like galaxy simulated with RAMSES-CH with fourth release Gaia-ESO survey data"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1709.01523","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"}