Dark Energy Survey Year 6 Results: Photometric Data Set for Cosmology

Fuente: arXiv
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Autores principales: Bechtol, K., Sevilla-Noarbe, I., Drlica-Wagner, A., Yanny, B., Gruendl, R. A., Sheldon, E., Rykoff, E. S., De Vicente, J., Adamow, M., Anbajagane, D., Becker, M. R., Bernstein, G. M., Rosell, A. Carnero, Gschwend, J., Gorsuch, M., Hartley, W. G., Jarvis, M., Jeltema, T., Kron, R., Manning, T. A., O'Donnell, J., Pieres, A., Rodríguez-Monroy, M., Cid, D. Sanchez, Tabbutt, M., Cipriano, L. Toribio San, Tucker, D. L., Weaverdyck, N., Yamamoto, M., Abbott, T. M. C., Aguena, M., Alarcón, A., Allam, S., Amon, A., Andrade-Oliveira, F., Avila, S., Bernardinelli, P. H., Bertin, E., Blazek, J., Brooks, D., Burke, D. L., Carretero, J., Castander, F. J., Cawthon, R., Chang, C., Choi, A., Conselice, C., Costanzi, M., Crocce, M., da Costa, L. N., Davis, T. M., Desai, S., Diehl, H. T., Dodelson, S., Doel, P., Doux, C., Ferté, A., Flaugher, B., Fosalba, P., Frieman, J., García-Bellido, J., Gatti, M., Gaztanaga, E., Giannini, G., Gruen, D., Gutierrez, G., Herner, K., Hinton, S. R., Hollowood, D. L., Honscheid, K., Huterer, D., Jeffrey, N., Krause, E., Kuehn, K., Lahav, O., Lee, S., Lidman, C., Lima, M., Lin, H., Marshall, J. L., Mena-Fernández, J., Miquel, R., Mohr, J. J., Muir, J., Myles, J., Ogando, R. L. C., Palmese, A., Malagón, A. A. Plazas, Porredon, A., Prat, J., Raveri, M., Romer, A. K., Roodman, A., Samuroff, S., Sanchez, E., Scarpine, V., Smith, M., Soares-Santos, M., Suchyta, E., Tarle, G., Troxel, M. A., Vikram, V., Walker, A. R., Weller, J., Wiseman, P., Zhang, Y.
Formato: Preprint
Publicado: 2025
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author Bechtol, K.
Sevilla-Noarbe, I.
Drlica-Wagner, A.
Yanny, B.
Gruendl, R. A.
Sheldon, E.
Rykoff, E. S.
De Vicente, J.
Adamow, M.
Anbajagane, D.
Becker, M. R.
Bernstein, G. M.
Rosell, A. Carnero
Gschwend, J.
Gorsuch, M.
Hartley, W. G.
Jarvis, M.
Jeltema, T.
Kron, R.
Manning, T. A.
O'Donnell, J.
Pieres, A.
Rodríguez-Monroy, M.
Cid, D. Sanchez
Tabbutt, M.
Cipriano, L. Toribio San
Tucker, D. L.
Weaverdyck, N.
Yamamoto, M.
Abbott, T. M. C.
Aguena, M.
Alarcón, A.
Allam, S.
Amon, A.
Andrade-Oliveira, F.
Avila, S.
Bernardinelli, P. H.
Bertin, E.
Blazek, J.
Brooks, D.
Burke, D. L.
Carretero, J.
Castander, F. J.
Cawthon, R.
Chang, C.
Choi, A.
Conselice, C.
Costanzi, M.
Crocce, M.
da Costa, L. N.
Davis, T. M.
Desai, S.
Diehl, H. T.
Dodelson, S.
Doel, P.
Doux, C.
Ferté, A.
Flaugher, B.
Fosalba, P.
Frieman, J.
García-Bellido, J.
Gatti, M.
Gaztanaga, E.
Giannini, G.
Gruen, D.
Gutierrez, G.
Herner, K.
Hinton, S. R.
Hollowood, D. L.
Honscheid, K.
Huterer, D.
Jeffrey, N.
Krause, E.
Kuehn, K.
Lahav, O.
Lee, S.
Lidman, C.
Lima, M.
Lin, H.
Marshall, J. L.
Mena-Fernández, J.
Miquel, R.
Mohr, J. J.
Muir, J.
Myles, J.
Ogando, R. L. C.
Palmese, A.
Malagón, A. A. Plazas
Porredon, A.
Prat, J.
Raveri, M.
Romer, A. K.
Roodman, A.
Samuroff, S.
Sanchez, E.
Scarpine, V.
Smith, M.
Soares-Santos, M.
Suchyta, E.
Tarle, G.
Troxel, M. A.
Vikram, V.
Walker, A. R.
Weller, J.
Wiseman, P.
Zhang, Y.
author_facet Bechtol, K.
Sevilla-Noarbe, I.
Drlica-Wagner, A.
Yanny, B.
Gruendl, R. A.
Sheldon, E.
Rykoff, E. S.
De Vicente, J.
Adamow, M.
Anbajagane, D.
Becker, M. R.
Bernstein, G. M.
Rosell, A. Carnero
Gschwend, J.
Gorsuch, M.
Hartley, W. G.
Jarvis, M.
Jeltema, T.
Kron, R.
Manning, T. A.
O'Donnell, J.
Pieres, A.
Rodríguez-Monroy, M.
Cid, D. Sanchez
Tabbutt, M.
Cipriano, L. Toribio San
Tucker, D. L.
Weaverdyck, N.
Yamamoto, M.
Abbott, T. M. C.
Aguena, M.
Alarcón, A.
Allam, S.
Amon, A.
Andrade-Oliveira, F.
Avila, S.
Bernardinelli, P. H.
Bertin, E.
Blazek, J.
Brooks, D.
Burke, D. L.
Carretero, J.
Castander, F. J.
Cawthon, R.
Chang, C.
Choi, A.
Conselice, C.
Costanzi, M.
Crocce, M.
da Costa, L. N.
Davis, T. M.
Desai, S.
Diehl, H. T.
Dodelson, S.
Doel, P.
Doux, C.
Ferté, A.
Flaugher, B.
Fosalba, P.
Frieman, J.
García-Bellido, J.
Gatti, M.
Gaztanaga, E.
Giannini, G.
Gruen, D.
Gutierrez, G.
Herner, K.
Hinton, S. R.
Hollowood, D. L.
Honscheid, K.
Huterer, D.
Jeffrey, N.
Krause, E.
Kuehn, K.
Lahav, O.
Lee, S.
Lidman, C.
Lima, M.
Lin, H.
Marshall, J. L.
Mena-Fernández, J.
Miquel, R.
Mohr, J. J.
Muir, J.
Myles, J.
Ogando, R. L. C.
Palmese, A.
Malagón, A. A. Plazas
Porredon, A.
Prat, J.
Raveri, M.
Romer, A. K.
Roodman, A.
Samuroff, S.
Sanchez, E.
Scarpine, V.
Smith, M.
Soares-Santos, M.
Suchyta, E.
Tarle, G.
Troxel, M. A.
Vikram, V.
Walker, A. R.
Weller, J.
Wiseman, P.
Zhang, Y.
contents We describe the photometric data set assembled from the full six years of observations by the Dark Energy Survey (DES) in support of static-sky cosmology analyses. DES Y6 Gold is a curated data set derived from DES Data Release 2 (DR2) that incorporates improved measurement, photometric calibration, object classification and value added information. Y6 Gold comprises nearly $5000~{\rm deg}^2$ of $grizY$ imaging in the south Galactic cap and includes 669 million objects with a depth of $i_{AB} \sim 23.4$ mag at S/N $\sim 10$ for extended objects and a top-of-the-atmosphere photometric uniformity $< 2~{\rm mmag}$. Y6 Gold augments DES DR2 with simultaneous fits to multi-epoch photometry for more robust galaxy shapes, colors, and photometric redshift estimates. Y6 Gold features improved morphological star-galaxy classification with efficiency $98.6\%$ and contamination $0.8\%$ for galaxies with $17.5 < i_{AB} < 22.5$. Additionally, it includes per-object quality information, and accompanying maps of the footprint coverage, masked regions, imaging depth, survey conditions, and astrophysical foregrounds that are used for cosmology analyses. After quality selections, benchmark samples contain 448 million galaxies and 120 million stars. This paper will be complemented by online data access and documentation.
format Preprint
id arxiv_https___arxiv_org_abs_2501_05739
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Dark Energy Survey Year 6 Results: Photometric Data Set for Cosmology
Bechtol, K.
Sevilla-Noarbe, I.
Drlica-Wagner, A.
Yanny, B.
Gruendl, R. A.
Sheldon, E.
Rykoff, E. S.
De Vicente, J.
Adamow, M.
Anbajagane, D.
Becker, M. R.
Bernstein, G. M.
Rosell, A. Carnero
Gschwend, J.
Gorsuch, M.
Hartley, W. G.
Jarvis, M.
Jeltema, T.
Kron, R.
Manning, T. A.
O'Donnell, J.
Pieres, A.
Rodríguez-Monroy, M.
Cid, D. Sanchez
Tabbutt, M.
Cipriano, L. Toribio San
Tucker, D. L.
Weaverdyck, N.
Yamamoto, M.
Abbott, T. M. C.
Aguena, M.
Alarcón, A.
Allam, S.
Amon, A.
Andrade-Oliveira, F.
Avila, S.
Bernardinelli, P. H.
Bertin, E.
Blazek, J.
Brooks, D.
Burke, D. L.
Carretero, J.
Castander, F. J.
Cawthon, R.
Chang, C.
Choi, A.
Conselice, C.
Costanzi, M.
Crocce, M.
da Costa, L. N.
Davis, T. M.
Desai, S.
Diehl, H. T.
Dodelson, S.
Doel, P.
Doux, C.
Ferté, A.
Flaugher, B.
Fosalba, P.
Frieman, J.
García-Bellido, J.
Gatti, M.
Gaztanaga, E.
Giannini, G.
Gruen, D.
Gutierrez, G.
Herner, K.
Hinton, S. R.
Hollowood, D. L.
Honscheid, K.
Huterer, D.
Jeffrey, N.
Krause, E.
Kuehn, K.
Lahav, O.
Lee, S.
Lidman, C.
Lima, M.
Lin, H.
Marshall, J. L.
Mena-Fernández, J.
Miquel, R.
Mohr, J. J.
Muir, J.
Myles, J.
Ogando, R. L. C.
Palmese, A.
Malagón, A. A. Plazas
Porredon, A.
Prat, J.
Raveri, M.
Romer, A. K.
Roodman, A.
Samuroff, S.
Sanchez, E.
Scarpine, V.
Smith, M.
Soares-Santos, M.
Suchyta, E.
Tarle, G.
Troxel, M. A.
Vikram, V.
Walker, A. R.
Weller, J.
Wiseman, P.
Zhang, Y.
Cosmology and Nongalactic Astrophysics
We describe the photometric data set assembled from the full six years of observations by the Dark Energy Survey (DES) in support of static-sky cosmology analyses. DES Y6 Gold is a curated data set derived from DES Data Release 2 (DR2) that incorporates improved measurement, photometric calibration, object classification and value added information. Y6 Gold comprises nearly $5000~{\rm deg}^2$ of $grizY$ imaging in the south Galactic cap and includes 669 million objects with a depth of $i_{AB} \sim 23.4$ mag at S/N $\sim 10$ for extended objects and a top-of-the-atmosphere photometric uniformity $< 2~{\rm mmag}$. Y6 Gold augments DES DR2 with simultaneous fits to multi-epoch photometry for more robust galaxy shapes, colors, and photometric redshift estimates. Y6 Gold features improved morphological star-galaxy classification with efficiency $98.6\%$ and contamination $0.8\%$ for galaxies with $17.5 < i_{AB} < 22.5$. Additionally, it includes per-object quality information, and accompanying maps of the footprint coverage, masked regions, imaging depth, survey conditions, and astrophysical foregrounds that are used for cosmology analyses. After quality selections, benchmark samples contain 448 million galaxies and 120 million stars. This paper will be complemented by online data access and documentation.
title Dark Energy Survey Year 6 Results: Photometric Data Set for Cosmology
topic Cosmology and Nongalactic Astrophysics
url https://arxiv.org/abs/2501.05739