{"paper":{"title":"Euclid: Forecasts for $k$-cut $3 \\times 2$ Point Statistics","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.CO","authors_text":"A. Balestra, A. Boucaud, A.C. Deshpande, A. Cimatti, A. Fert\\'e, A.N. Taylor, A. Pourtsidou, A. Secrou, A. Zacchei, B. Garilli, B. Gillis, B. Morin, C. Bodendorf, C. Carbone, C. Giocoli, C. Padilla, C. Sirignano, D. Bonino, D. Sapone, D. Tavagnacco, E.A. Valentijn, E. Branchini, E. Franceschi, E. Medinaceli, E.M. Huff, E. Rossetti, F. Bernardeau, F. Hormuth, F. Pasian, F. Raison, F. Sureau, G. Congedo, G. Meylan, G. Polenta, G. Seidel, G. Sirri, H.I. Teplitz, H. Kurki-Suonio, I. Lloro, I. Tereno, I. Tutusaus, J. Carretero, J. Rhodes, J. Weller, J. Zoubian, K. Jahnke, K. Markovic, K. Pedersen, L. Conversi, L. Corcione, L. Guzzo, L. Moscardini, L. Popa, L. Valenziano, M. Brescia, M. Castellano, M. Cropper, M. Kilbinger, M. Kunz, M. Martinelli, M. Meneghetti, M. Moresco, M. Poncet, M. Roncarelli, N. Auricchio, O. Marggraf, P.B. Lilje, P.L. Taylor, P. Schneider, P. Tallada Cresp\\'i, R. Cledassou, R. Massey, R. Saglia, R. Toledo-Moreo, S. Camera, S. Casas, S. Cavuoti, S. Kermiche, S. Ligori, S. Mei, S. Niemi, S. Paltani, S. Pires, S. Serrano, S.V.H. Haugan, T. Kitching, T. Vassallo, V. Capobianco, V.F. Cardone, V. Pettorino, V. Yankelevich, W. Holmes, W.J. Percival, Y. Wang, Z. Sakr","submitted_at":"2020-12-08T19:00:07Z","abstract_excerpt":"Modelling uncertainties at small scales, i.e. high $k$ in the power spectrum $P(k)$, due to baryonic feedback, nonlinear structure growth and the fact that galaxies are biased tracers poses a significant obstacle to fully leverage the constraining power of the {\\it Euclid} wide-field survey. $k$-cut cosmic shear has recently been proposed as a method to optimally remove sensitivity to these scales while preserving usable information. In this paper we generalise the $k$-cut cosmic shear formalism to $3 \\times 2$ point statistics and estimate the loss of information for different $k$-cuts in a $"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2012.04672","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2012.04672/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"}