{"paper":{"title":"DES Y3 results: Blending shear and redshift biases in image simulations","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.CO","authors_text":"A. Alarcon, A. Amon, A. A. Plazas, A. Carnero Rosell, A. Choi, A. Fert\\'e, A. Palmese, A. Pieres, A. Roodman, B. Flaugher, B. Yanny, C. S\\'anchez, C. To, D. Bacon, D. Brooks, D. Gruen, D. J. James, D. L. Burke, D. L. Hollowood, D. Thomas, D. W. Gerdes, E. Bertin, E. Gaztanaga, E. M. Huff, E. Sanchez, E. Sheldon, E. Suchyta, F. Menanteau, F. Paz-Chinch\\'on, F. Tarsitano, G. Gutierrez, G. M. Bernstein, G. Tarle, H. T. Diehl, I. Ferrero, I. Harrison, I. Sevilla-Noarbe, J. Annis, J. Carretero, J. De Vicente, J. Frieman, J. Garc\\'ia-Bellido, J. Gschwend, J. J. Mohr, J. L. Marshall, J. McCullough, J. Muir, J. Myles, J. P. Dietrich, J. Zuntz, K. Eckert, K. Herner, K. Honscheid, L. F. Secco, M. A. G. Maia, M. Aguena, M. A. Troxel, M. Carrasco Kind, M. Costanzi, M. Crocce, M. E. C. Swanson, M. E. S. Pereira, M. Gatti, M. Jarvis, M. Lima, M. March, M. R. Becker, M. Rodriguez-Monroy, M. Smith, M. Soares-Santos, N. MacCrann, O. Lahav, P. Doel, P. Fosalba, P. Martini, P. Melchior, R. A. Gruendl, R.D. Wilkinson, R. L. C. Ogando, R. Miquel, R. Morgan, R. P. Rollins, S. Allam, S. Desai, S. Dodelson, S. Everett, S. L. Bridle, S. R. Hinton, S. Samuroff, S. Serrano, T. F. Eifler, T. Giannantonio, T. M. C. Abbott, T. N. Varga, V. Scarpine, W. G. Hartley","submitted_at":"2020-12-15T19:30:43Z","abstract_excerpt":"As the statistical power of galaxy weak lensing reaches percent level precision, large, realistic and robust simulations are required to calibrate observational systematics, especially given the increased importance of object blending as survey depths increase. To capture the coupled effects of blending in both shear and photometric redshift calibration, we define the effective redshift distribution for lensing, $n_{\\gamma}(z)$, and describe how to estimate it using image simulations. We use an extensive suite of tailored image simulations to characterize the performance of the shear estimatio"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2012.08567","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/2012.08567/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"}