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Dark Energy Survey Year 3 results: simulation-based cosmological inference with wavelet harmonics, scattering transforms, and moments of weak lensing mass maps II. Cosmological results

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Main Authors:	Gatti, M., Campailla, G., Jeffrey, N., Whiteway, L., Porredon, A., Prat, J., Williamson, J., Raveri, M., Jain, B., Ajani, V., Giannini, G., Yamamoto, M., Zhou, C., Blazek, J., Anbajagane, D., Samuroff, S., Kacprzak, T., Alarcon, A., Amon, A., Bechtol, K., Becker, M., Bernstein, G., Campos, A., Chang, C., Chen, R., Choi, A., Davis, C., Derose, J., Diehl, H. T., Dodelson, S., Doux, C., Eckert, K., Elvin-Poole, J., Everett, S., Ferte, A., Gruen, D., Gruendl, R., Harrison, I., Hartley, W. G., Herner, K., Huff, E. M., Jarvis, M., Kuropatkin, N., Leget, P. F., MacCrann, N., McCullough, J., Myles, J., Navarro-Alsina, A., Pandey, S., Rollins, R. P., Roodman, A., Sanchez, C., Secco, L. F., Sevilla-Noarbe, I., Sheldon, E., Shin, T., Troxel, M., Tutusaus, I., Varga, T. N., Yanny, B., Yin, B., Zhang, Y., Zuntz, J., Abbott, T. M. C., Aguena, M., Allam, S. S., Alves, O., Andrade-Oliveira, F., Bacon, D., Bocquet, S., Brooks, D., Rosell, A. Carnero, Carretero, J., da Costa, L. N., Pereira, M. E. S., De Vicente, J., Ferrero, I., Frieman, J., García-Bellido, J., Gaztanaga, E., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., James, D. J., Kuehn, K., Lahav, O., Lee, S., Marshall, J. L., Mena-Fernández, J., Miquel, R., Pieres, A., Malagón, A. A. Plazas, Sanchez, E., Cid, D. Sanchez, Schubnell, M., Smith, M., Suchyta, E., Tarle, G., Weaverdyck, N., Weller, J., Wiseman, P.
Format:	Preprint
Published:	2024
Subjects:	Cosmology and Nongalactic Astrophysics
Online Access:	Acceder al recurso
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author	Gatti, M. Campailla, G. Jeffrey, N. Whiteway, L. Porredon, A. Prat, J. Williamson, J. Raveri, M. Jain, B. Ajani, V. Giannini, G. Yamamoto, M. Zhou, C. Blazek, J. Anbajagane, D. Samuroff, S. Kacprzak, T. Alarcon, A. Amon, A. Bechtol, K. Becker, M. Bernstein, G. Campos, A. Chang, C. Chen, R. Choi, A. Davis, C. Derose, J. Diehl, H. T. Dodelson, S. Doux, C. Eckert, K. Elvin-Poole, J. Everett, S. Ferte, A. Gruen, D. Gruendl, R. Harrison, I. Hartley, W. G. Herner, K. Huff, E. M. Jarvis, M. Kuropatkin, N. Leget, P. F. MacCrann, N. McCullough, J. Myles, J. Navarro-Alsina, A. Pandey, S. Rollins, R. P. Roodman, A. Sanchez, C. Secco, L. F. Sevilla-Noarbe, I. Sheldon, E. Shin, T. Troxel, M. Tutusaus, I. Varga, T. N. Yanny, B. Yin, B. Zhang, Y. Zuntz, J. Abbott, T. M. C. Aguena, M. Allam, S. S. Alves, O. Andrade-Oliveira, F. Bacon, D. Bocquet, S. Brooks, D. Rosell, A. Carnero Carretero, J. da Costa, L. N. Pereira, M. E. S. De Vicente, J. Ferrero, I. Frieman, J. García-Bellido, J. Gaztanaga, E. Gutierrez, G. Hinton, S. R. Hollowood, D. L. Honscheid, K. James, D. J. Kuehn, K. Lahav, O. Lee, S. Marshall, J. L. Mena-Fernández, J. Miquel, R. Pieres, A. Malagón, A. A. Plazas Sanchez, E. Cid, D. Sanchez Schubnell, M. Smith, M. Suchyta, E. Tarle, G. Weaverdyck, N. Weller, J. Wiseman, P.
author_facet	Gatti, M. Campailla, G. Jeffrey, N. Whiteway, L. Porredon, A. Prat, J. Williamson, J. Raveri, M. Jain, B. Ajani, V. Giannini, G. Yamamoto, M. Zhou, C. Blazek, J. Anbajagane, D. Samuroff, S. Kacprzak, T. Alarcon, A. Amon, A. Bechtol, K. Becker, M. Bernstein, G. Campos, A. Chang, C. Chen, R. Choi, A. Davis, C. Derose, J. Diehl, H. T. Dodelson, S. Doux, C. Eckert, K. Elvin-Poole, J. Everett, S. Ferte, A. Gruen, D. Gruendl, R. Harrison, I. Hartley, W. G. Herner, K. Huff, E. M. Jarvis, M. Kuropatkin, N. Leget, P. F. MacCrann, N. McCullough, J. Myles, J. Navarro-Alsina, A. Pandey, S. Rollins, R. P. Roodman, A. Sanchez, C. Secco, L. F. Sevilla-Noarbe, I. Sheldon, E. Shin, T. Troxel, M. Tutusaus, I. Varga, T. N. Yanny, B. Yin, B. Zhang, Y. Zuntz, J. Abbott, T. M. C. Aguena, M. Allam, S. S. Alves, O. Andrade-Oliveira, F. Bacon, D. Bocquet, S. Brooks, D. Rosell, A. Carnero Carretero, J. da Costa, L. N. Pereira, M. E. S. De Vicente, J. Ferrero, I. Frieman, J. García-Bellido, J. Gaztanaga, E. Gutierrez, G. Hinton, S. R. Hollowood, D. L. Honscheid, K. James, D. J. Kuehn, K. Lahav, O. Lee, S. Marshall, J. L. Mena-Fernández, J. Miquel, R. Pieres, A. Malagón, A. A. Plazas Sanchez, E. Cid, D. Sanchez Schubnell, M. Smith, M. Suchyta, E. Tarle, G. Weaverdyck, N. Weller, J. Wiseman, P.
contents	We present a simulation-based cosmological analysis using a combination of Gaussian and non-Gaussian statistics of the weak lensing mass (convergence) maps from the first three years (Y3) of the Dark Energy Survey (DES). We implement: 1) second and third moments; 2) wavelet phase harmonics; 3) the scattering transform. Our analysis is fully based on simulations, spans a space of seven $νw$CDM cosmological parameters, and forward models the most relevant sources of systematics inherent in the data: masks, noise variations, clustering of the sources, intrinsic alignments, and shear and redshift calibration. We implement a neural network compression of the summary statistics, and we estimate the parameter posteriors using a simulation-based inference approach. Including and combining different non-Gaussian statistics is a powerful tool that strongly improves constraints over Gaussian statistics (in our case, the second moments); in particular, the Figure of Merit $\textrm{FoM}(S_8, Ω_{\textrm{m}})$ is improved by 70 percent ($Λ$CDM) and 90 percent ($w$CDM). When all the summary statistics are combined, we achieve a 2 percent constraint on the amplitude of fluctuations parameter $S_8 \equiv σ_8 (Ω_{\textrm{m}}/0.3)^{0.5}$, obtaining $S_8 = 0.794 \pm 0.017$ ($Λ$CDM) and $S_8 = 0.817 \pm 0.021$ ($w$CDM). The constraints from different statistics are shown to be internally consistent (with a $p$-value>0.1 for all combinations of statistics examined). We compare our results to other weak lensing results from the DES Y3 data, finding good consistency; we also compare with results from external datasets, such as \planck{} constraints from the Cosmic Microwave Background, finding statistical agreement, with discrepancies no greater than $<2.2σ$.
format	Preprint
id	arxiv_https___arxiv_org_abs_2405_10881
institution	arXiv
publishDate	2024
record_format	arxiv
spellingShingle	Dark Energy Survey Year 3 results: simulation-based cosmological inference with wavelet harmonics, scattering transforms, and moments of weak lensing mass maps II. Cosmological results Gatti, M. Campailla, G. Jeffrey, N. Whiteway, L. Porredon, A. Prat, J. Williamson, J. Raveri, M. Jain, B. Ajani, V. Giannini, G. Yamamoto, M. Zhou, C. Blazek, J. Anbajagane, D. Samuroff, S. Kacprzak, T. Alarcon, A. Amon, A. Bechtol, K. Becker, M. Bernstein, G. Campos, A. Chang, C. Chen, R. Choi, A. Davis, C. Derose, J. Diehl, H. T. Dodelson, S. Doux, C. Eckert, K. Elvin-Poole, J. Everett, S. Ferte, A. Gruen, D. Gruendl, R. Harrison, I. Hartley, W. G. Herner, K. Huff, E. M. Jarvis, M. Kuropatkin, N. Leget, P. F. MacCrann, N. McCullough, J. Myles, J. Navarro-Alsina, A. Pandey, S. Rollins, R. P. Roodman, A. Sanchez, C. Secco, L. F. Sevilla-Noarbe, I. Sheldon, E. Shin, T. Troxel, M. Tutusaus, I. Varga, T. N. Yanny, B. Yin, B. Zhang, Y. Zuntz, J. Abbott, T. M. C. Aguena, M. Allam, S. S. Alves, O. Andrade-Oliveira, F. Bacon, D. Bocquet, S. Brooks, D. Rosell, A. Carnero Carretero, J. da Costa, L. N. Pereira, M. E. S. De Vicente, J. Ferrero, I. Frieman, J. García-Bellido, J. Gaztanaga, E. Gutierrez, G. Hinton, S. R. Hollowood, D. L. Honscheid, K. James, D. J. Kuehn, K. Lahav, O. Lee, S. Marshall, J. L. Mena-Fernández, J. Miquel, R. Pieres, A. Malagón, A. A. Plazas Sanchez, E. Cid, D. Sanchez Schubnell, M. Smith, M. Suchyta, E. Tarle, G. Weaverdyck, N. Weller, J. Wiseman, P. Cosmology and Nongalactic Astrophysics We present a simulation-based cosmological analysis using a combination of Gaussian and non-Gaussian statistics of the weak lensing mass (convergence) maps from the first three years (Y3) of the Dark Energy Survey (DES). We implement: 1) second and third moments; 2) wavelet phase harmonics; 3) the scattering transform. Our analysis is fully based on simulations, spans a space of seven $νw$CDM cosmological parameters, and forward models the most relevant sources of systematics inherent in the data: masks, noise variations, clustering of the sources, intrinsic alignments, and shear and redshift calibration. We implement a neural network compression of the summary statistics, and we estimate the parameter posteriors using a simulation-based inference approach. Including and combining different non-Gaussian statistics is a powerful tool that strongly improves constraints over Gaussian statistics (in our case, the second moments); in particular, the Figure of Merit $\textrm{FoM}(S_8, Ω_{\textrm{m}})$ is improved by 70 percent ($Λ$CDM) and 90 percent ($w$CDM). When all the summary statistics are combined, we achieve a 2 percent constraint on the amplitude of fluctuations parameter $S_8 \equiv σ_8 (Ω_{\textrm{m}}/0.3)^{0.5}$, obtaining $S_8 = 0.794 \pm 0.017$ ($Λ$CDM) and $S_8 = 0.817 \pm 0.021$ ($w$CDM). The constraints from different statistics are shown to be internally consistent (with a $p$-value>0.1 for all combinations of statistics examined). We compare our results to other weak lensing results from the DES Y3 data, finding good consistency; we also compare with results from external datasets, such as \planck{} constraints from the Cosmic Microwave Background, finding statistical agreement, with discrepancies no greater than $<2.2σ$.
title	Dark Energy Survey Year 3 results: simulation-based cosmological inference with wavelet harmonics, scattering transforms, and moments of weak lensing mass maps II. Cosmological results
topic	Cosmology and Nongalactic Astrophysics
url	https://arxiv.org/abs/2405.10881