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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
Dark Energy Survey Year 3 Results: Cosmological constraints from second- and third-order shear statistics
R. C. H. Gomes, S. Sugiyama, B. Jain, M. Jarvis, D. Anbajagane, A. Halder, G. A. Marques, S. Pandey, J. Marshall, A. Alarcon, A. Amon, K. Bechtol, M. Becker, G. Bernstein, A. Campos, R. Cawthon, C. Chang, R. Chen, A. Choi, J. Cordero, C. Davis, J. Derose, S. Dodelson, C. Doux, K. Eckert, et al. Physical Review D 112(12) (2025) https://doi.org/10.1103/sxlz-t9gb
Node persistence from topological data analysis reveals changes in brain functional connectivity
Cosmology with persistent homology: parameter inference via machine learning
Juan Calles, Jacky H.T. Yip, Gabriella Contardo, Jorge Noreña, Adam Rouhiainen and Gary Shiu Journal of Cosmology and Astroparticle Physics 2025(09) 064 (2025) https://doi.org/10.1088/1475-7516/2025/09/064
Understanding the shape of chemistry data—Applications with persistent homology
Impact of redshift space distortions on persistent homology of cosmic matter density field
Fatemeh Abedi, Mohammad Hossein Jalali Kanafi and Seyed Mohammad Sadegh Movahed International Journal of Geometric Methods in Modern Physics 22(10) (2025) https://doi.org/10.1142/S0219887825400067
Fast generation of weak lensing maps with analytical point transformation functions
Cosmology with second- and third-order shear statistics for the Dark Energy Survey: Methods and simulated analysis
R. C. H. Gomes, S. Sugiyama, B. Jain, M. Jarvis, D. Anbajagane, M. Gatti, D. Gebauer, Z. Gong, A. Halder, G. A. Marques, S. Pandey, J. L. Marshall, S. Allam, O. Alves, F. Andrade-Oliveira, D. Bacon, J. Blazek, S. Bocquet, D. Brooks, A. Carnero Rosell, J. Carretero, L. N. da Costa, P. Doel, C. Doux, S. Everett, et al. Physical Review D 112(12) (2025) https://doi.org/10.1103/3f1p-spfp
A roadmap to cosmological parameter analysis with third-order shear statistics
Niek Wielders, Laila Linke, Pierre A. Burger, Sven Heydenreich, Lucas Porth and Peter Schneider Astronomy & Astrophysics 702 A207 (2025) https://doi.org/10.1051/0004-6361/202554474
KiDS-1000 cosmology: Combined second- and third-order shear statistics
Pierre A. Burger, Lucas Porth, Sven Heydenreich, Laila Linke, Niek Wielders, Peter Schneider, Marika Asgari, Tiago Castro, Klaus Dolag, Joachim Harnois-Déraps, Hendrik Hildebrandt, Konrad Kuijken and Nicolas Martinet Astronomy & Astrophysics 683 A103 (2024) https://doi.org/10.1051/0004-6361/202347986
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
Bayesian random persistence diagram generation: An application to material microstructure analysis
Farzana Nasrin, Theodore Papamarkou, Austin Lawson, Na Gong, Orlando Rios and Vasileios Maroulas Foundations of Data Science (2024) https://doi.org/10.3934/fods.2024018
Topological Learning for the Classification of Disorder: An Application to the Design of Metasurfaces
Tristan Madeleine, Nina Podoliak, Oleksandr Buchnev, Ingrid Membrillo Solis, Tetiana Orlova, Maria van Rossem, Malgosia Kaczmarek, Giampaolo D’Alessandro and Jacek Brodzki ACS Nano 18(1) (2024) https://doi.org/10.1021/acsnano.3c08776
Improving convolutional neural networks for cosmological fields with random permutation
Constraining modified gravity with weak-lensing peaks
Christopher T Davies, Joachim Harnois-Déraps, Baojiu Li, Benjamin Giblin, César Hernández-Aguayo and Enrique Paillas Monthly Notices of the Royal Astronomical Society 533(3) 3546 (2024) https://doi.org/10.1093/mnras/stae1966
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
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
Cosmological parameters from the joint analysis of density split and second order statistics: An emulator based on the halo occupation distribution
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
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
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
Enhancing cosmic shear with the multiscale lensing probability density function
Benjamin Giblin, Yan-Chuan Cai and Joachim Harnois-Déraps Monthly Notices of the Royal Astronomical Society 520(2) 1721 (2023) https://doi.org/10.1093/mnras/stad230
Towards a full wCDM map-based analysis for weak lensing surveys
D Zürcher, J Fluri, V Ajani, S Fischbacher, A Refregier and T Kacprzak Monthly Notices of the Royal Astronomical Society 525(1) 761 (2023) https://doi.org/10.1093/mnras/stad2212
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
Euclid preparation
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
Fisher forecasts for primordial non-Gaussianity from persistent homology
Matteo Biagetti, Juan Calles, Lina Castiblanco, Alex Cole and Jorge Noreña Journal of Cosmology and Astroparticle Physics 2022(10) 002 (2022) https://doi.org/10.1088/1475-7516/2022/10/002
D. Munshi, R. Takahashi, J.D. McEwen, T.D. Kitching and F.R. Bouchet Journal of Cosmology and Astroparticle Physics 2022(05) 006 (2022) https://doi.org/10.1088/1475-7516/2022/05/006
0-Dimensional Persistent Homology Analysis Implementation in Resource-Scarce Embedded Systems
Sérgio Branco, João G. Carvalho, Marco S. Reis, Nuno V. Lopes and Jorge Cabral Sensors 22(10) 3657 (2022) https://doi.org/10.3390/s22103657
Anomalies in the topology of the temperature fluctuations in the cosmic microwave background: An analysis of the NPIPE and FFP10 data releases
Cosmic shear beyond 2-point statistics: Accounting for galaxy intrinsic alignment with projected tidal fields
Joachim Harnois-Déraps, Nicolas Martinet and Robert Reischke Monthly Notices of the Royal Astronomical Society 509(3) 3868 (2021) https://doi.org/10.1093/mnras/stab3222
Cosmic shear cosmology beyond two-point statistics: a combined peak count and correlation function analysis of DES-Y1
Joachim Harnois-Déraps, Nicolas Martinet, Tiago Castro, et al. Monthly Notices of the Royal Astronomical Society 506(2) 1623 (2021) https://doi.org/10.1093/mnras/stab1623
Probing dark energy with tomographic weak-lensing aperture mass statistics