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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
M. Gatti, G. Campailla, N. Jeffrey, L. Whiteway, A. Porredon, J. Prat, J. Williamson, M. Raveri, B. Jain, V. Ajani, G. Giannini, M. Yamamoto, C. Zhou, J. Blazek, D. Anbajagane, S. Samuroff, T. Kacprzak, A. Alarcon, A. Amon, K. Bechtol, M. Becker, G. Bernstein, A. Campos, C. Chang, R. Chen, et al. Physical Review D 111(6) (2025) https://doi.org/10.1103/PhysRevD.111.063504
Dimensionality reduction techniques for statistical inference in cosmology
Cosmological constraints from weak lensing scattering transform using HSC Y1 data
Sihao 思浩 Cheng 程, Gabriela A. Marques, Daniela Grandón, Leander Thiele, Masato Shirasaki, Brice Ménard and Jia Liu Journal of Cosmology and Astroparticle Physics 2025(01) 006 (2025) https://doi.org/10.1088/1475-7516/2025/01/006
Imprint of massive neutrinos on Persistent Homology of large-scale structure
M H Jalali Kanafi, S Ansarifard and S M S Movahed Monthly Notices of the Royal Astronomical Society 535(1) 657 (2024) https://doi.org/10.1093/mnras/stae2044
Dark Energy Survey Year 3 results: Simulation-based cosmological inference with wavelet harmonics, scattering transforms, and moments of weak lensing mass maps. Validation on simulations
M. Gatti, N. Jeffrey, L. Whiteway, J. Williamson, B. Jain, V. Ajani, D. Anbajagane, G. Giannini, C. Zhou, A. Porredon, J. Prat, M. Yamamoto, J. Blazek, T. Kacprzak, S. Samuroff, A. Alarcon, A. Amon, K. Bechtol, M. Becker, G. Bernstein, A. Campos, C. Chang, R. Chen, A. Choi, C. Davis, et al. Physical Review D 109(6) (2024) https://doi.org/10.1103/PhysRevD.109.063534
KiDS-1000 and DES-Y1 combined: cosmology from peak count statistics
Joachim Harnois-Déraps, Sven Heydenreich, Benjamin Giblin, Nicolas Martinet, Tilman Tröster, Marika Asgari, Pierre Burger, Tiago Castro, Klaus Dolag, Catherine Heymans, Hendrik Hildebrandt, Benjamin Joachimi and Angus H Wright Monthly Notices of the Royal Astronomical Society 534(4) 3305 (2024) https://doi.org/10.1093/mnras/stae2249
Improving convolutional neural networks for cosmological fields with random permutation
Cosmology with persistent homology: a Fisher forecast
Jacky H.T. Yip, Matteo Biagetti, Alex Cole, Karthik Viswanathan and Gary Shiu Journal of Cosmology and Astroparticle Physics 2024(09) 034 (2024) https://doi.org/10.1088/1475-7516/2024/09/034
A road map to cosmological parameter analysis with third-order shear statistics
V. Ajani, M. Baldi, A. Barthelemy, A. Boyle, P. Burger, V. F. Cardone, S. Cheng, S. Codis, C. Giocoli, J. Harnois-Déraps, S. Heydenreich, V. Kansal, M. Kilbinger, L. Linke, C. Llinares, N. Martinet, C. Parroni, A. Peel, S. Pires, L. Porth, I. Tereno, C. Uhlemann, M. Vicinanza, S. Vinciguerra, N. Aghanim, et al. Astronomy & Astrophysics 675 A120 (2023) https://doi.org/10.1051/0004-6361/202346017
Beyond the 3rd moment: a practical study of using lensing convergence CDFs for cosmology with DES Y3
D Anbajagane, C Chang, A Banerjee, T Abel, M Gatti, V Ajani, A Alarcon, A Amon, E J Baxter, K Bechtol, M R Becker, G M Bernstein, A Campos, A Carnero Rosell, M Carrasco Kind, R Chen, A Choi, C Davis, J DeRose, H T Diehl, S Dodelson, C Doux, A Drlica-Wagner, K Eckert, J Elvin-Poole, et al. Monthly Notices of the Royal Astronomical Society 526(4) 5530 (2023) https://doi.org/10.1093/mnras/stad3118
Cosmological constraints from the Subaru Hyper Suprime-Cam year 1 shear catalogue lensing convergence probability distribution function
Wasserstein distance as a new tool for discriminating cosmologies through the topology of large-scale structure
Maksym Tsizh, Vitalii Tymchyshyn and Franco Vazza Monthly Notices of the Royal Astronomical Society 522(2) 2697 (2023) https://doi.org/10.1093/mnras/stad1121
mglens: Modified gravity weak lensing simulations for emulation-based cosmological inference
Joachim Harnois-Déraps, Cesar Hernandez-Aguayo, Carolina Cuesta-Lazaro, Christian Arnold, Baojiu Li, Christopher T Davies and Yan-Chuan Cai Monthly Notices of the Royal Astronomical Society 525(4) 6336 (2023) https://doi.org/10.1093/mnras/stad2700
Cosmological Probes of Structure Growth and Tests of Gravity
Jiamin Hou, Julian Bautista, Maria Berti, Carolina Cuesta-Lazaro, César Hernández-Aguayo, Tilman Tröster and Jinglan Zheng Universe 9(7) 302 (2023) https://doi.org/10.3390/universe9070302
A roadmap to cosmological parameter analysis with third-order shear statistics
Topological data analysis reveals differences between simulated galaxies and dark matter haloes
Aaron Ouellette, Gilbert Holder and Ely Kerman Monthly Notices of the Royal Astronomical Society 523(4) 5738 (2023) https://doi.org/10.1093/mnras/stad1765
Cosmology from the integrated shear 3-point correlation function: simulated likelihood analyses with machine-learning emulators
Zhengyangguang Gong, Anik Halder, Alexandre Barreira, Stella Seitz and Oliver Friedrich Journal of Cosmology and Astroparticle Physics 2023(07) 040 (2023) https://doi.org/10.1088/1475-7516/2023/07/040