{"paper":{"title":"Comparing approximate methods for mock catalogues and covariance matrices I: correlation function","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.CO","authors_text":"Albert Izard, Andr\\'es Balaguera-Antol\\'inez, Aniket Agrawal, Antonio Dorta, Ariel G. S\\'anchez, Claudio Dalla Vecchia, Emiliano Sefusatti, Francisco-Shu Kitaura, George Stein, Gustavo Yepes, Linda Blot, Manuel Colavincenzo, Marcelo A. Alvarez, Marcos Pellejero-Ibanez, Martha Lippich, Martin Crocce, Mohammadjavad Vakili, Pablo Fosalba, Pierluigi Monaco, Richard Bond, Sandrine Codis, Santiago Avila","submitted_at":"2018-06-25T14:08:29Z","abstract_excerpt":"This paper is the first in a set that analyses the covariance matrices of clustering statistics obtained from several approximate methods for gravitational structure formation. We focus here on the covariance matrices of anisotropic two-point correlation function measurements. Our comparison includes seven approximate methods, which can be divided into three categories: predictive methods that follow the evolution of the linear density field deterministically (ICE-COLA, Peak Patch, and Pinocchio), methods that require a calibration with N-body simulations (Patchy and Halogen), and simpler reci"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1806.09477","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"}