{"paper":{"title":"CoLoRe-2LPT: Lyman-$\\alpha$ mock catalogues for the validation of DESI cosmological analyses","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.CO","authors_text":"A. Bault, A. Brodzeller, A. Carnero Rosell, A. Cuceu, A. de la Macorra, A. Dey, A. Font-Ribera, A. Kremin, A. Leauthaud, A. Meisner, A. Mu\\~noz-Guti\\'errez, A. P\\'erez-Fern\\'andez, A. X. Gonzalez-Morales, B. A. Weaver, C. Gordon, C. Hahn, C. Poppett, C. Ravoux, C. Saulder, D. Alonso, D. Bianchi, D. Brooks, D. Gonzalez, D. Kirkby, D. Schlegel, E. Armengaud, E. Paillas, E. Sanchez, F. Beutler, F. Prada, F. Sinigaglia, G. Gambardella, G. Gutierrez, G. Niz, G. Rossi, G. Tarl\\'e, H. E. Noriega, H. K. Herrera-Alcantar, H. Pulido-Hern\\'andez, H. Seo, H. Yang, H. Zhang, I. P\\'erez-R\\`afols, J. Aguilar, J. Chaves-Montero, J. E. Forero-Romero, J. Guy, J. Morawetz, J. Pan, J. Rohlf, J. Silber, K. Honscheid, K. Lodha, K. S. Dawson, L. Casas, L. Samushia, M. Bonici, M. F. Ruiz-Herrera Bernal, M. Herbold, M. Ishak, M. Landriau, M. Manera, M. Pellejero Ibanez, M. Siudek, M. Vargas-Maga\\~na, N. Palanque-Delabrouille, N. V. Kamble, O. Alves, O. Manasoiu, P. Martini, P. Mukherjee, Q. Li, R. Gsponer, R. Miquel, R. Ruggeri, R. Vaisakh, S. Ahlen, S. Avila, S. Ferraro, S. Gontcho A Gontcho, S. Jos, S. Juneau, S. Nadathur, T. Claybaugh, T. Karim, U. Andrade, W. Elbers, W. J. Percival, W. Liu, W. Turner, Y. Cho, Z. Chen","submitted_at":"2026-07-29T19:29:29Z","abstract_excerpt":"The Lyman-$\\alpha$ (Ly$\\alpha$) forest has become a crucial probe for studying the large-scale structure of the universe at high redshift ($z > 2$), providing powerful constraints on Baryon Acoustic Oscillations (BAO) and the full-shape (FS) clustering of matter. As a key ingredient for upcoming BAO and FS analyses, we present a new generation of fast cosmological Ly$\\alpha$ mocks based on second-order Lagrangian perturbation theory (2LPT). These new mocks significantly improve upon previous log-normal approaches, both at accurately capturing small scale clustering and at recovering the non-li"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.27412","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2607.27412/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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"}