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| Format: | Preprint |
| Published: |
2025
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| Online Access: | https://arxiv.org/abs/2503.13631 |
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| author | To, Chun-Hao Krause, Elisabeth Chang, Chihway Wu, Hao-Yi Wechsler, Risa H. Rozo, Eduardo Weinberg, David H. Anbajagane, D. Avila, S. Blazek, J. Bocquet, S. Costanzi, M. De Vicente, J. Elvin-Poole, J. Ferté, A. Grandis, S. Muir, J. Porredon, A. Samuroff, S. Sanchez, E. Cid, D. Sanchez Sevilla-Noarbe, I. Weaverdyck, N. Abbott, T. M. C. Aguena, M. Andrade-Oliveira, F. Bacon, D. Becker, M. R. Brooks, D. Rosell, A. Carnero Carretero, J. Choi, A. da Costa, L. N. Pereira, M. E. S. Davis, T. M. Desai, S. Doel, P. Everett, S. Frieman, J. García-Bellido, J. Gatti, M. Gaztanaga, E. Giannini, G. Gruen, D. Gutierrez, G. Hinton, S. R. Hollowood, D. L. Honscheid, K. Jeltema, T. Kuehn, K. Lee, S. Marshall, J. L. Mena-Fern, J. Miquel, R. Mohr, J. J. Myles, J. Palmese, A. Malagón, A. A. Plazas Romer, A. K. Shin, T. Smith, M. Suchyta, E. Tarle, G. Vikram, V. Walker, A. R. Weller, J. |
| author_facet | To, Chun-Hao Krause, Elisabeth Chang, Chihway Wu, Hao-Yi Wechsler, Risa H. Rozo, Eduardo Weinberg, David H. Anbajagane, D. Avila, S. Blazek, J. Bocquet, S. Costanzi, M. De Vicente, J. Elvin-Poole, J. Ferté, A. Grandis, S. Muir, J. Porredon, A. Samuroff, S. Sanchez, E. Cid, D. Sanchez Sevilla-Noarbe, I. Weaverdyck, N. Abbott, T. M. C. Aguena, M. Andrade-Oliveira, F. Bacon, D. Becker, M. R. Brooks, D. Rosell, A. Carnero Carretero, J. Choi, A. da Costa, L. N. Pereira, M. E. S. Davis, T. M. Desai, S. Doel, P. Everett, S. Frieman, J. García-Bellido, J. Gatti, M. Gaztanaga, E. Giannini, G. Gruen, D. Gutierrez, G. Hinton, S. R. Hollowood, D. L. Honscheid, K. Jeltema, T. Kuehn, K. Lee, S. Marshall, J. L. Mena-Fern, J. Miquel, R. Mohr, J. J. Myles, J. Palmese, A. Malagón, A. A. Plazas Romer, A. K. Shin, T. Smith, M. Suchyta, E. Tarle, G. Vikram, V. Walker, A. R. Weller, J. |
| contents | We introduce an updated To&Krause2021 model for joint analyses of cluster abundances and large-scale two-point correlations of weak lensing and galaxy and cluster clustering (termed CL+3x2pt analysis) and validate that this model meets the systematic accuracy requirements of analyses with the statistical precision of the final Dark Energy Survey (DES) Year 6 (Y6) dataset. The validation program consists of two distinct approaches, (1) identification of modeling and parameterization choices and impact studies using simulated analyses with each possible model misspecification (2) end-to-end validation using mock catalogs from customized Cardinal simulations that incorporate realistic galaxy populations and DES-Y6-specific galaxy and cluster selection and photometric redshift modeling, which are the key observational systematics. In combination, these validation tests indicate that the model presented here meets the accuracy requirements of DES-Y6 for CL+3x2pt based on a large list of tests for known systematics. In addition, we also validate that the model is sufficient for several other data combinations: the CL+GC subset of this data vector (excluding galaxy--galaxy lensing and cosmic shear two-point statistics) and the CL+3x2pt+BAO+SN (combination of CL+3x2pt with the previously published Y6 DES baryonic acoustic oscillation and Y5 supernovae data). |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2503_13631 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Dark Energy Survey: Modeling strategy for multiprobe cluster cosmology and validation for the Full Six-year Dataset To, Chun-Hao Krause, Elisabeth Chang, Chihway Wu, Hao-Yi Wechsler, Risa H. Rozo, Eduardo Weinberg, David H. Anbajagane, D. Avila, S. Blazek, J. Bocquet, S. Costanzi, M. De Vicente, J. Elvin-Poole, J. Ferté, A. Grandis, S. Muir, J. Porredon, A. Samuroff, S. Sanchez, E. Cid, D. Sanchez Sevilla-Noarbe, I. Weaverdyck, N. Abbott, T. M. C. Aguena, M. Andrade-Oliveira, F. Bacon, D. Becker, M. R. Brooks, D. Rosell, A. Carnero Carretero, J. Choi, A. da Costa, L. N. Pereira, M. E. S. Davis, T. M. Desai, S. Doel, P. Everett, S. Frieman, J. García-Bellido, J. Gatti, M. Gaztanaga, E. Giannini, G. Gruen, D. Gutierrez, G. Hinton, S. R. Hollowood, D. L. Honscheid, K. Jeltema, T. Kuehn, K. Lee, S. Marshall, J. L. Mena-Fern, J. Miquel, R. Mohr, J. J. Myles, J. Palmese, A. Malagón, A. A. Plazas Romer, A. K. Shin, T. Smith, M. Suchyta, E. Tarle, G. Vikram, V. Walker, A. R. Weller, J. Cosmology and Nongalactic Astrophysics Instrumentation and Methods for Astrophysics We introduce an updated To&Krause2021 model for joint analyses of cluster abundances and large-scale two-point correlations of weak lensing and galaxy and cluster clustering (termed CL+3x2pt analysis) and validate that this model meets the systematic accuracy requirements of analyses with the statistical precision of the final Dark Energy Survey (DES) Year 6 (Y6) dataset. The validation program consists of two distinct approaches, (1) identification of modeling and parameterization choices and impact studies using simulated analyses with each possible model misspecification (2) end-to-end validation using mock catalogs from customized Cardinal simulations that incorporate realistic galaxy populations and DES-Y6-specific galaxy and cluster selection and photometric redshift modeling, which are the key observational systematics. In combination, these validation tests indicate that the model presented here meets the accuracy requirements of DES-Y6 for CL+3x2pt based on a large list of tests for known systematics. In addition, we also validate that the model is sufficient for several other data combinations: the CL+GC subset of this data vector (excluding galaxy--galaxy lensing and cosmic shear two-point statistics) and the CL+3x2pt+BAO+SN (combination of CL+3x2pt with the previously published Y6 DES baryonic acoustic oscillation and Y5 supernovae data). |
| title | Dark Energy Survey: Modeling strategy for multiprobe cluster cosmology and validation for the Full Six-year Dataset |
| topic | Cosmology and Nongalactic Astrophysics Instrumentation and Methods for Astrophysics |
| url | https://arxiv.org/abs/2503.13631 |