{"paper":{"title":"Mass and galaxy distributions of four massive galaxy clusters from Dark Energy Survey Science Verification data","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["astro-ph.GA"],"primary_cat":"astro-ph.CO","authors_text":"A. E. Evrard, A. Fausti Neto, A. J. Sypniewski, A. Plazas, A. Roodman, A. Walker, B. D. Nord, B. Flaugher, B. Jain, B. Rowe, B. X. Santiago, C. E. Cunha, C. J. Miller, C. Smith, D. A. Finley, D. Bacon, D. Gerdes, D. Gruen, D. L. Burke, D. L. DePoy, D. L. Tucker, D. Thomas, E. Bertin, E. Buckley-Geer, E. Fernandez, E. Gaztanaga, E. Huff, E. Krause, E. Neilsen, E. Rykoff, E. Sanchez, E. Sheldon, E. Suchyta, F. B. Abdalla, F. J. Castander, G. M. Bernstein, G. R. Gutierrez, G. Tarle, H. Lin, H. T. Diehl, H. Wilcox, I. Karliner, I. Sevilla-Noarbe, J. A. Frieman, J. Clampitt, J. Estrada, J. L. Marshall, J. Marriner, J. Mohr, J. P. Bernstein, J. Thaler, J. Weller, J. Young, J. Zuntz, K. Bechtol, K. Honscheid, K. Kuehn, K. Patton, K. Reil, K. W. Merritt, L. N. da Costa, M. A. G. Maia, M. Banerji, M. E. C. Swanson, M. Hirsch, M. Jarvis, M. Makler, M. Sako, M. Schubnell, M. Soares-Santos, N. A. Roe, N. Kuropatkin, N. MacCrann, O. Lahav, P. Doel, P. Melchior, R. A. Bernstein, R. A. Gruendl, R. Armstrong, R. C. Nichol, R. Miquel, R. Schindler, R. Wechsler, S. Bridle, S. Desai, S. Jouvel, S. Kent, S. S. Allam, T. Abbott, T. Kacprzak, V. Vikram, W. Wester","submitted_at":"2014-05-16T19:52:15Z","abstract_excerpt":"We measure the weak-lensing masses and galaxy distributions of four massive galaxy clusters observed during the Science Verification phase of the Dark Energy Survey. This pathfinder study is meant to 1) validate the DECam imager for the task of measuring weak-lensing shapes, and 2) utilize DECam's large field of view to map out the clusters and their environments over 90 arcmin. We conduct a series of rigorous tests on astrometry, photometry, image quality, PSF modeling, and shear measurement accuracy to single out flaws in the data and also to identify the optimal data processing steps and pa"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1405.4285","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"}