Dark Energy Survey Year 6 Results: Clustering-redshifts and importance sampling of Self-Organised-Maps $n(z)$ realizations for $3\times2$pt samples

Fuente: arXiv
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Autores principales: d'Assignies, W., Bernstein, G. M., Yin, B., Giannini, G., Alarcon, A., Manera, M., To, C., Yamamoto, M., Weaverdyck, N., Cawthon, R., Gatti, M., Amon, A., Anbajagane, D., Avila, S., Becker, M. R., Bechtol, K., Chang, C., Crocce, M., De Vicente, J., Dodelson, S., Fang, J., Ferté, A., Gruen, D., Legnani, E., Porredon, A., Prat, J., Rodriguez-Monroy, M., Sánchez, C., Schutt, T., Sevilla-Noarbe, I., Cid, D. Sanchez, Troxel, M. A., Abbott, T. M. C., Andrade-Oliveira, F., Aguena, M., Alves, O., Bacon, D., Blazek, J., Bocquet, S., Brooks, D., Camilleri, R., Rosell, A. Carnero, Kind, M. Carrasco, Carretero, J., Castander, F. J., da Costa, L. N., Pereira, M. E. da Silva, Davis, T. M., Desai, S., Doel, P., Doux, C., Drlica-Wagner, A., Eifler, T., Elvin-Poole, J., Everett, S., Flaugher, B., Fosalba, P., Frieman, J., Garcia-Bellido, J., Gaztanaga, E., Giles, P., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., Huterer, D., Jain, B., James, D. J., Kuehn, K., Lahav, O., Lee, S., Marshall, J. L., Mena-Fernandez, J., Menanteau, F., Miquel, R., Muir, J., Myles, J., Ogando, R. L. C., Palmese, A., Paterno, M., Petravick, P., Malagon, A. A. Plazas, Raveri, M., Roodman, A., Samuroff, S., Sanchez, E., Sheldon, E., Shin, T., Smith, M., Suchyta, E., Swanson, M. E. C., Tarle, G., Thomas, D., Vikram, V., Walker, A. R.
Formato: Preprint
Publicado: 2025
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author d'Assignies, W.
Bernstein, G. M.
Yin, B.
Giannini, G.
Alarcon, A.
Manera, M.
To, C.
Yamamoto, M.
Weaverdyck, N.
Cawthon, R.
Gatti, M.
Amon, A.
Anbajagane, D.
Avila, S.
Becker, M. R.
Bechtol, K.
Chang, C.
Crocce, M.
De Vicente, J.
Dodelson, S.
Fang, J.
Ferté, A.
Gruen, D.
Legnani, E.
Porredon, A.
Prat, J.
Rodriguez-Monroy, M.
Sánchez, C.
Schutt, T.
Sevilla-Noarbe, I.
Cid, D. Sanchez
Troxel, M. A.
Abbott, T. M. C.
Andrade-Oliveira, F.
Aguena, M.
Alves, O.
Bacon, D.
Blazek, J.
Bocquet, S.
Brooks, D.
Camilleri, R.
Rosell, A. Carnero
Kind, M. Carrasco
Carretero, J.
Castander, F. J.
da Costa, L. N.
Pereira, M. E. da Silva
Davis, T. M.
Desai, S.
Doel, P.
Doux, C.
Drlica-Wagner, A.
Eifler, T.
Elvin-Poole, J.
Everett, S.
Flaugher, B.
Fosalba, P.
Frieman, J.
Garcia-Bellido, J.
Gaztanaga, E.
Giles, P.
Gutierrez, G.
Hinton, S. R.
Hollowood, D. L.
Honscheid, K.
Huterer, D.
Jain, B.
James, D. J.
Kuehn, K.
Lahav, O.
Lee, S.
Marshall, J. L.
Mena-Fernandez, J.
Menanteau, F.
Miquel, R.
Muir, J.
Myles, J.
Ogando, R. L. C.
Palmese, A.
Paterno, M.
Petravick, P.
Malagon, A. A. Plazas
Raveri, M.
Roodman, A.
Samuroff, S.
Sanchez, E.
Sheldon, E.
Shin, T.
Smith, M.
Suchyta, E.
Swanson, M. E. C.
Tarle, G.
Thomas, D.
Vikram, V.
Walker, A. R.
author_facet d'Assignies, W.
Bernstein, G. M.
Yin, B.
Giannini, G.
Alarcon, A.
Manera, M.
To, C.
Yamamoto, M.
Weaverdyck, N.
Cawthon, R.
Gatti, M.
Amon, A.
Anbajagane, D.
Avila, S.
Becker, M. R.
Bechtol, K.
Chang, C.
Crocce, M.
De Vicente, J.
Dodelson, S.
Fang, J.
Ferté, A.
Gruen, D.
Legnani, E.
Porredon, A.
Prat, J.
Rodriguez-Monroy, M.
Sánchez, C.
Schutt, T.
Sevilla-Noarbe, I.
Cid, D. Sanchez
Troxel, M. A.
Abbott, T. M. C.
Andrade-Oliveira, F.
Aguena, M.
Alves, O.
Bacon, D.
Blazek, J.
Bocquet, S.
Brooks, D.
Camilleri, R.
Rosell, A. Carnero
Kind, M. Carrasco
Carretero, J.
Castander, F. J.
da Costa, L. N.
Pereira, M. E. da Silva
Davis, T. M.
Desai, S.
Doel, P.
Doux, C.
Drlica-Wagner, A.
Eifler, T.
Elvin-Poole, J.
Everett, S.
Flaugher, B.
Fosalba, P.
Frieman, J.
Garcia-Bellido, J.
Gaztanaga, E.
Giles, P.
Gutierrez, G.
Hinton, S. R.
Hollowood, D. L.
Honscheid, K.
Huterer, D.
Jain, B.
James, D. J.
Kuehn, K.
Lahav, O.
Lee, S.
Marshall, J. L.
Mena-Fernandez, J.
Menanteau, F.
Miquel, R.
Muir, J.
Myles, J.
Ogando, R. L. C.
Palmese, A.
Paterno, M.
Petravick, P.
Malagon, A. A. Plazas
Raveri, M.
Roodman, A.
Samuroff, S.
Sanchez, E.
Sheldon, E.
Shin, T.
Smith, M.
Suchyta, E.
Swanson, M. E. C.
Tarle, G.
Thomas, D.
Vikram, V.
Walker, A. R.
contents This work is part of a series establishing the redshift framework for the $3\times2$pt analysis of the Dark Energy Survey Year 6 (DES Y6). For DES Y6, photometric redshift distributions are estimated using self-organizing maps (SOMs), calibrated with spectroscopic and many-band photometric data. To overcome limitations from color-redshift degeneracies and incomplete spectroscopic coverage, we enhance this approach by incorporating clustering-based redshift constraints (clustering-z, or WZ) from angular cross-correlations with BOSS and eBOSS galaxies, and eBOSS quasar samples. We define a WZ likelihood and apply importance sampling to a large ensemble of SOM-derived $n(z)$ realizations, selecting those consistent with the clustering measurements to produce a posterior sample for each lens and source bin. The analysis uses angular scales of 1.5-5 Mpc to optimize signal-to-noise while mitigating modeling uncertainties, and marginalizes over redshift-dependent galaxy bias and other systematics informed by the N-body simulation Cardinal. While a sparser spectroscopic reference sample limits WZ constraining power at $z>1.1$, particularly for source bins, we demonstrate that combining SOMPZ with WZ improves redshift accuracy and enhances the overall cosmological constraining power of DES Y6. We estimate an improvement in $S_8$ of approximately 10\% for cosmic shear and $3\times2$pt analysis, primarily due to the WZ calibration of the source samples.
format Preprint
id arxiv_https___arxiv_org_abs_2510_23565
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Dark Energy Survey Year 6 Results: Clustering-redshifts and importance sampling of Self-Organised-Maps $n(z)$ realizations for $3\times2$pt samples
d'Assignies, W.
Bernstein, G. M.
Yin, B.
Giannini, G.
Alarcon, A.
Manera, M.
To, C.
Yamamoto, M.
Weaverdyck, N.
Cawthon, R.
Gatti, M.
Amon, A.
Anbajagane, D.
Avila, S.
Becker, M. R.
Bechtol, K.
Chang, C.
Crocce, M.
De Vicente, J.
Dodelson, S.
Fang, J.
Ferté, A.
Gruen, D.
Legnani, E.
Porredon, A.
Prat, J.
Rodriguez-Monroy, M.
Sánchez, C.
Schutt, T.
Sevilla-Noarbe, I.
Cid, D. Sanchez
Troxel, M. A.
Abbott, T. M. C.
Andrade-Oliveira, F.
Aguena, M.
Alves, O.
Bacon, D.
Blazek, J.
Bocquet, S.
Brooks, D.
Camilleri, R.
Rosell, A. Carnero
Kind, M. Carrasco
Carretero, J.
Castander, F. J.
da Costa, L. N.
Pereira, M. E. da Silva
Davis, T. M.
Desai, S.
Doel, P.
Doux, C.
Drlica-Wagner, A.
Eifler, T.
Elvin-Poole, J.
Everett, S.
Flaugher, B.
Fosalba, P.
Frieman, J.
Garcia-Bellido, J.
Gaztanaga, E.
Giles, P.
Gutierrez, G.
Hinton, S. R.
Hollowood, D. L.
Honscheid, K.
Huterer, D.
Jain, B.
James, D. J.
Kuehn, K.
Lahav, O.
Lee, S.
Marshall, J. L.
Mena-Fernandez, J.
Menanteau, F.
Miquel, R.
Muir, J.
Myles, J.
Ogando, R. L. C.
Palmese, A.
Paterno, M.
Petravick, P.
Malagon, A. A. Plazas
Raveri, M.
Roodman, A.
Samuroff, S.
Sanchez, E.
Sheldon, E.
Shin, T.
Smith, M.
Suchyta, E.
Swanson, M. E. C.
Tarle, G.
Thomas, D.
Vikram, V.
Walker, A. R.
Cosmology and Nongalactic Astrophysics
This work is part of a series establishing the redshift framework for the $3\times2$pt analysis of the Dark Energy Survey Year 6 (DES Y6). For DES Y6, photometric redshift distributions are estimated using self-organizing maps (SOMs), calibrated with spectroscopic and many-band photometric data. To overcome limitations from color-redshift degeneracies and incomplete spectroscopic coverage, we enhance this approach by incorporating clustering-based redshift constraints (clustering-z, or WZ) from angular cross-correlations with BOSS and eBOSS galaxies, and eBOSS quasar samples. We define a WZ likelihood and apply importance sampling to a large ensemble of SOM-derived $n(z)$ realizations, selecting those consistent with the clustering measurements to produce a posterior sample for each lens and source bin. The analysis uses angular scales of 1.5-5 Mpc to optimize signal-to-noise while mitigating modeling uncertainties, and marginalizes over redshift-dependent galaxy bias and other systematics informed by the N-body simulation Cardinal. While a sparser spectroscopic reference sample limits WZ constraining power at $z>1.1$, particularly for source bins, we demonstrate that combining SOMPZ with WZ improves redshift accuracy and enhances the overall cosmological constraining power of DES Y6. We estimate an improvement in $S_8$ of approximately 10\% for cosmic shear and $3\times2$pt analysis, primarily due to the WZ calibration of the source samples.
title Dark Energy Survey Year 6 Results: Clustering-redshifts and importance sampling of Self-Organised-Maps $n(z)$ realizations for $3\times2$pt samples
topic Cosmology and Nongalactic Astrophysics
url https://arxiv.org/abs/2510.23565