{"paper":{"title":"Mapping and simulating systematics due to spatially-varying observing conditions in DES Science Verification data","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.CO","authors_text":"A. Amara, A. A. Plazas, A. Benoit-L\\'evy, A. Carnero Rosell, A. E. Evrard, A. Fausti Neto, A. H. Bauer, A. J. Ross, A. K. Romer, A. Palmese, A. Refregier, A. Roodman, A. R. Walker, B. Flaugher, B. Leistedt, B. Nord, B. Santiago, C. B. D'Andrea, C. Bonnett, C. Bruderer, C. Chang, C. E. Cunha, C. J. Miller, C. S\\'anchez, D. Brooks, D. Capozzi, D. Gruen, D. J. James, D. L. Burke, D. L. DePoy, D. Thomas, D. W. Gerdes, E. Bertin, E. Buckley-Geer, E. Gaztanaga, E. M. Huff, E. Rozo, E. Sanchez, E. S. Rykoff, E. Suchyta, F. B. Abdalla, F. Elsner, F. Sobreira, G. Gutierrez, G. M. Bernstein, G. Tarle, H. T. Diehl, H.V. Peiris, I. Sadeh, I. Sevilla-Noarbe, J. Carretero, J. Frieman, J. L. Marshall, J. Thaler, J. Zuntz, K. Honscheid, K. Kuehn, K. Reil, L. N. da Costa, M. A. G. Maia, M. Banerji, M. Carrasco Kind, M. Crocce, M. E. C. Swanson, M. Jarvis, M. Lima, M. March, M. R. Becker, M. Schubnell, M. Soares-Santos, M. T. Busha, N. Kuropatkin, O. Lahav, P. Doel, P. Fosalba, P. Martini, P. Melchior, R. A. Bernstein, R. A. Gruendl, R. C. Nichol, R. C. Smith, R. H. Wechsler, R. Miquel, R. Ogando, S. Allam, S. Desai, S. Kent, S. L. Bridle, T. F. Eifler, T. S. Li, V. Scarpine, V. Vikram, W.J. Percival, W. Wester, Y. Zhang","submitted_at":"2015-07-20T20:45:00Z","abstract_excerpt":"Spatially-varying depth and characteristics of observing conditions, such as seeing, airmass, or sky background, are major sources of systematic uncertainties in modern galaxy survey analyses, in particular in deep multi-epoch surveys. We present a framework to extract and project these sources of systematics onto the sky, and apply it to the Dark Energy Survey (DES) to map the observing conditions of the Science Verification (SV) data. The resulting distributions and maps of sources of systematics are used in several analyses of DES SV to perform detailed null tests with the data, and also to"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1507.05647","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"}