Indexado en

Licencia y uso

Citaciones

Cited 40 times in

Cited 31 times in

Altmetrics

Grant support

S.E. and T.J. acknowledge support from the U.S. Department of Energy, Office of Science, Office of High Energy Physics, under award numbers DESC0010107 and A00-1465-001.Funding for the DES Projects has been provided by the US Department of Energy, the US National Science Foundation, the Ministry of Science and Education of Spain, the Science and Technology Facilities Council of the United Kingdom, the Higher Education Funding Council for England, the National Center for Supercomputing Applications at the University of Illinois at Urbana-Champaign, the Kavli Institute of Cosmological Physics at the University of Chicago, the Center for Cosmology and Astro-Particle Physics at the Ohio State University, the Mitchell Institute for Fundamental Physics and Astronomy at Texas A&M University, Financiadora de Estudos e Projetos, FundacAo Carlos Chagas Filho de Amparo a Pesquisa do Estado do Rio de Janeiro, Conselho Nacional de Desenvolvimento Cientifico e Tecnologico and the Ministerio da Ciencia, Tecnologia e InovacAo, the Deutsche Forschungsgemeinschaft and the Collaborating Institutions in the Dark Energy Survey.The DES data management system is supported by the National Science Foundation under grant Nos. AST-1138766 and AST-1536171. The DES participants from Spanish institutions are partially supported by MICINN under grants ESP2017-89838, PGC2018-094773, PGC2018-102021, SEV-2016-0588, SEV-2016-0597, and MDM-2015-0509, some of which include ERDF funds from the European Union. IFAE is partially funded by the CERCA program of the Generalitat de Catalunya. Research leading to these results has received funding from the European Research Council under the European Union's Seventh Framework Program (FP7/2007-2013) including ERC grant agreements 240672, 291329, and 306478. We acknowledge support from the Brazilian Instituto Nacional de Ciencia e Tecnologia (INCT) do e-Universo (CNPq grant 465376/2014-2).This manuscript has been authored by Fermi Research Alliance, LLC under Contract No. DE-AC02-07CH11359 with the US Department of Energy, Office of Science, Office of High Energy Physics.

Análisis de autorías institucional

Compartir

Dark Energy Survey Year 3 Results: Measuring the Survey Transfer Function with Balrog

Publicado en:ASTROPHYSICAL JOURNAL SUPPLEMENT SERIES. 258 (1): 15- - 2022-01-01 258(1), DOI: 10.3847/1538-4365/ac26c1

Autores: Everett, S; Yanny, B; Kuropatkin, N; Huff, E M; Zhang, Y; Myles, J; Masegian, A; Elvin-Poole, J; Allam, S; Bernstein, G M; Sevilla-Noarbe, I; Splettstoesser, M; Sheldon, E; Jarvis, M; Amon, A; Harrison, I; Choir, A; Hartley, W G; Alarcon, A; Sanchez, C; Gruen, D; Eckert, K; Prat, J; Tabbutt, M; Busti, V; Becker, M R; MacCrann, N; Diehl, H T; Tucker, D L; Bertin, E; Jeltema, T; Drlica-Wagner, A; Gruendl, R A; Bechto, K; Rosell, A Carnero; Abbott, T M C; Aguena, M; Annis, J; Bacon, D; Bhargava, S; Brooks, D; Burke, D L; Kind, M Carrasco; Carretero, J; Castander, F J; Conselice, C; Costanzi, M; da Costa, L N; Pereira, M E S; De Vicente, J; DeRose, J; Desai, S; Eifler, T F; Evrard, A E; Ferrero, I; Fosalba, P; Frieman, J; Garcia-Bellido, J; Gaztanaga, E; Gerdes, D W; Hinton, S R; Hollowood, D L; Honscheid, K; Huterer, D; James, D J; Kent, S; Krause, E; Kuehn, K; Lahav, O; Lima, Lahav M; Lin, H; Maia, M A G; Marshall, J L; Melchior, P; Menanteau, F; Miquel, R; Mohr, J J; Morgan, R; Muir, J; Ogando, R L C; Palmese, A; Paz-Chinchon, F; Plazas, A A; Rodriguez-Monroyll, M; Romer, A K; Roodman, A; Sanchez, E; Scarpine, V; Serrano, S; Smith, M; Soares-Santos, M; Suchyta, E; Swanson, M E C; Tarle, G; To, C; Troxel, M A; Varga, T N; Weller, J; Wilkinson, R D

Afiliaciones

Resumen

We describe an updated calibration and diagnostic framework, Balrog, used to directly sample the selection and photometric biases of the Dark Energy Survey (DES) Year 3 (Y3) data set. We systematically inject onto the single-epoch images of a random 20% subset of the DES footprint an ensemble of nearly 30 million realistic galaxy models derived from DES Deep Field observations. These augmented images are analyzed in parallel with the original data to automatically inherit measurement systematics that are often too difficult to capture with generative models. The resulting object catalog is a Monte Carlo sampling of the DES transfer function and is used as a powerful diagnostic and calibration tool for a variety of DES Y3 science, particularly for the calibration of the photometric redshifts of distant "source" galaxies and magnification biases of nearer "lens" galaxies. The recovered Balrog injections are shown to closely match the photometric property distributions of the Y3 GOLD catalog, particularly in color, and capture the number density fluctuations from observing conditions of the real data within 1% for a typical galaxy sample. We find that Y3 colors are extremely well calibrated, typically within similar to 1-8 mmag, but for a small subset of objects, we detect significant magnitude biases correlated with large overestimates of the injected object size due to proximity effects and blending. We discuss approaches to extend the current methodology to capture more aspects of the transfer function and reach full coverage of the survey footprint for future analyses.

Palabras clave