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Autores principales:	Prat, J., Gatti, M., Doux, C., Pranav, P., Chang, C., Jeffrey, N., Whiteway, L., Anbajagane, D., Sugiyama, S., Thomsen, A., Alarcon, A., Amon, A., Bechtol, K., Bernstein, G. M., Campos, A., Chen, R., Choi, A., Davis, C., DeRose, J., Dodelson, S., Eckert, K., Elvin-Poole, J., Everett, S., Ferté, A., Gruen, D., Huff, E. M., Harrison, I., Herner, K., Jarvis, M., Kuropatkin, N., Leget, P. -F., MacCrann, N., McCullough, J., Myles, J., Navarro-Alsina, A., Pandey, S., Raveri, M., Rollins, R. P., Roodman, A., Sánchez, C., Secco, L. F., Sheldon, E., Shin, T., Troxel, M. A., Tutusaus, I., Varga, T. N., Yanny, B., Yin, B., Zhang, Y., Zuntz, J., Abbott, T. M. C., Aguena, M., Allam, S., Andrade-Oliveira, F., Blazek, J., Bocquet, S., Brooks, D., Carretero, J., Rosell, A. Carnero, Cawthon, R., De Vicente, J., Desai, S., Pereira, M. E. da Silva, Diehl, H. T., Flaugher, B., Frieman, J., García-Bellido, J., Gruendl, R. A., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., James, D. J., Kuehn, K., da Costa, L. N., Lahav, O., Lee, S., Marshall, J. L., Mena-Fernández, J., Miquel, R., Mohr, J. J., Ogando, R. L. C., Malagón, A. A. Plazas, Porredon, A., Samuroff, S., Sanchez, E., Santiago, B., Sevilla-Noarbe, I., Smith, M., Suchyta, E., Swanson, M. E. C., Thomas, D., To, C., Vikram, V., Walker, A. R., Weaverdyck, N., Weller, J.
Formato:	Preprint
Publicado:	2025
Materias:	Cosmology and Nongalactic Astrophysics Instrumentation and Methods for Astrophysics
Acceso en línea:	https://arxiv.org/abs/2506.13439
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

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author	Prat, J. Gatti, M. Doux, C. Pranav, P. Chang, C. Jeffrey, N. Whiteway, L. Anbajagane, D. Sugiyama, S. Thomsen, A. Alarcon, A. Amon, A. Bechtol, K. Bernstein, G. M. Campos, A. Chen, R. Choi, A. Davis, C. DeRose, J. Dodelson, S. Eckert, K. Elvin-Poole, J. Everett, S. Ferté, A. Gruen, D. Huff, E. M. Harrison, I. Herner, K. Jarvis, M. Kuropatkin, N. Leget, P. -F. MacCrann, N. McCullough, J. Myles, J. Navarro-Alsina, A. Pandey, S. Raveri, M. Rollins, R. P. Roodman, A. Sánchez, C. Secco, L. F. Sheldon, E. Shin, T. Troxel, M. A. Tutusaus, I. Varga, T. N. Yanny, B. Yin, B. Zhang, Y. Zuntz, J. Abbott, T. M. C. Aguena, M. Allam, S. Andrade-Oliveira, F. Blazek, J. Bocquet, S. Brooks, D. Carretero, J. Rosell, A. Carnero Cawthon, R. De Vicente, J. Desai, S. Pereira, M. E. da Silva Diehl, H. T. Flaugher, B. Frieman, J. García-Bellido, J. Gruendl, R. A. Gutierrez, G. Hinton, S. R. Hollowood, D. L. Honscheid, K. James, D. J. Kuehn, K. da Costa, L. N. Lahav, O. Lee, S. Marshall, J. L. Mena-Fernández, J. Miquel, R. Mohr, J. J. Ogando, R. L. C. Malagón, A. A. Plazas Porredon, A. Samuroff, S. Sanchez, E. Santiago, B. Sevilla-Noarbe, I. Smith, M. Suchyta, E. Swanson, M. E. C. Thomas, D. To, C. Vikram, V. Walker, A. R. Weaverdyck, N. Weller, J.
author_facet	Prat, J. Gatti, M. Doux, C. Pranav, P. Chang, C. Jeffrey, N. Whiteway, L. Anbajagane, D. Sugiyama, S. Thomsen, A. Alarcon, A. Amon, A. Bechtol, K. Bernstein, G. M. Campos, A. Chen, R. Choi, A. Davis, C. DeRose, J. Dodelson, S. Eckert, K. Elvin-Poole, J. Everett, S. Ferté, A. Gruen, D. Huff, E. M. Harrison, I. Herner, K. Jarvis, M. Kuropatkin, N. Leget, P. -F. MacCrann, N. McCullough, J. Myles, J. Navarro-Alsina, A. Pandey, S. Raveri, M. Rollins, R. P. Roodman, A. Sánchez, C. Secco, L. F. Sheldon, E. Shin, T. Troxel, M. A. Tutusaus, I. Varga, T. N. Yanny, B. Yin, B. Zhang, Y. Zuntz, J. Abbott, T. M. C. Aguena, M. Allam, S. Andrade-Oliveira, F. Blazek, J. Bocquet, S. Brooks, D. Carretero, J. Rosell, A. Carnero Cawthon, R. De Vicente, J. Desai, S. Pereira, M. E. da Silva Diehl, H. T. Flaugher, B. Frieman, J. García-Bellido, J. Gruendl, R. A. Gutierrez, G. Hinton, S. R. Hollowood, D. L. Honscheid, K. James, D. J. Kuehn, K. da Costa, L. N. Lahav, O. Lee, S. Marshall, J. L. Mena-Fernández, J. Miquel, R. Mohr, J. J. Ogando, R. L. C. Malagón, A. A. Plazas Porredon, A. Samuroff, S. Sanchez, E. Santiago, B. Sevilla-Noarbe, I. Smith, M. Suchyta, E. Swanson, M. E. C. Thomas, D. To, C. Vikram, V. Walker, A. R. Weaverdyck, N. Weller, J.
contents	We present cosmological constraints from Dark Energy Survey Year 3 (DES Y3) weak lensing data using persistent homology, a topological data analysis technique that tracks how features like clusters and voids evolve across density thresholds. For the first time, we apply spherical persistent homology to galaxy survey data through the algorithm TopoS2, which is optimized for curved-sky analyses and HEALPix compatibility. Employing a simulation-based inference framework with the Gower Street simulation suite, specifically designed to mimic DES Y3 data properties, we extract topological summary statistics from convergence maps across multiple smoothing scales and redshift bins. After neural network compression of these statistics, we estimate the likelihood function and validate our analysis against baryonic feedback effects, finding minimal biases (under $0.3σ$) in the $Ω_\mathrm{m}-S_8$ plane. Assuming the $w$CDM model, our combined Betti numbers and second moments analysis yields $S_8 = 0.821 \pm 0.018$ and $Ω_\mathrm{m} = 0.304\pm0.037$-constraints 70% tighter than those from cosmic shear two-point statistics in the same parameter plane. Our results demonstrate that topological methods provide a powerful and robust framework for extracting cosmological information, with our spherical methodology readily applicable to upcoming Stage IV wide-field galaxy surveys.
format	Preprint
id	arxiv_https___arxiv_org_abs_2506_13439
institution	arXiv
publishDate	2025
record_format	arxiv
spellingShingle	Dark Energy Survey Year 3 results: $w$CDM cosmology from simulation-based inference with persistent homology on the sphere Prat, J. Gatti, M. Doux, C. Pranav, P. Chang, C. Jeffrey, N. Whiteway, L. Anbajagane, D. Sugiyama, S. Thomsen, A. Alarcon, A. Amon, A. Bechtol, K. Bernstein, G. M. Campos, A. Chen, R. Choi, A. Davis, C. DeRose, J. Dodelson, S. Eckert, K. Elvin-Poole, J. Everett, S. Ferté, A. Gruen, D. Huff, E. M. Harrison, I. Herner, K. Jarvis, M. Kuropatkin, N. Leget, P. -F. MacCrann, N. McCullough, J. Myles, J. Navarro-Alsina, A. Pandey, S. Raveri, M. Rollins, R. P. Roodman, A. Sánchez, C. Secco, L. F. Sheldon, E. Shin, T. Troxel, M. A. Tutusaus, I. Varga, T. N. Yanny, B. Yin, B. Zhang, Y. Zuntz, J. Abbott, T. M. C. Aguena, M. Allam, S. Andrade-Oliveira, F. Blazek, J. Bocquet, S. Brooks, D. Carretero, J. Rosell, A. Carnero Cawthon, R. De Vicente, J. Desai, S. Pereira, M. E. da Silva Diehl, H. T. Flaugher, B. Frieman, J. García-Bellido, J. Gruendl, R. A. Gutierrez, G. Hinton, S. R. Hollowood, D. L. Honscheid, K. James, D. J. Kuehn, K. da Costa, L. N. Lahav, O. Lee, S. Marshall, J. L. Mena-Fernández, J. Miquel, R. Mohr, J. J. Ogando, R. L. C. Malagón, A. A. Plazas Porredon, A. Samuroff, S. Sanchez, E. Santiago, B. Sevilla-Noarbe, I. Smith, M. Suchyta, E. Swanson, M. E. C. Thomas, D. To, C. Vikram, V. Walker, A. R. Weaverdyck, N. Weller, J. Cosmology and Nongalactic Astrophysics Instrumentation and Methods for Astrophysics We present cosmological constraints from Dark Energy Survey Year 3 (DES Y3) weak lensing data using persistent homology, a topological data analysis technique that tracks how features like clusters and voids evolve across density thresholds. For the first time, we apply spherical persistent homology to galaxy survey data through the algorithm TopoS2, which is optimized for curved-sky analyses and HEALPix compatibility. Employing a simulation-based inference framework with the Gower Street simulation suite, specifically designed to mimic DES Y3 data properties, we extract topological summary statistics from convergence maps across multiple smoothing scales and redshift bins. After neural network compression of these statistics, we estimate the likelihood function and validate our analysis against baryonic feedback effects, finding minimal biases (under $0.3σ$) in the $Ω_\mathrm{m}-S_8$ plane. Assuming the $w$CDM model, our combined Betti numbers and second moments analysis yields $S_8 = 0.821 \pm 0.018$ and $Ω_\mathrm{m} = 0.304\pm0.037$-constraints 70% tighter than those from cosmic shear two-point statistics in the same parameter plane. Our results demonstrate that topological methods provide a powerful and robust framework for extracting cosmological information, with our spherical methodology readily applicable to upcoming Stage IV wide-field galaxy surveys.
title	Dark Energy Survey Year 3 results: $w$CDM cosmology from simulation-based inference with persistent homology on the sphere
topic	Cosmology and Nongalactic Astrophysics Instrumentation and Methods for Astrophysics
url	https://arxiv.org/abs/2506.13439

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