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KiDS-SBI: Simulation-based inference analysis of KiDS-1000 cosmic shear
Maximilian von Wietersheim-Kramsta, Kiyam Lin, Nicolas Tessore, Benjamin Joachimi, Arthur Loureiro, Robert Reischke and Angus H. Wright Astronomy & Astrophysics 694 A223 (2025) https://doi.org/10.1051/0004-6361/202450487
Psi-GAN: a power-spectrum-informed generative adversarial network for the emulation of large-scale structure maps across cosmologies and redshifts
Prabh Bhambra, Benjamin Joachimi, Ofer Lahav and Davide Piras Monthly Notices of the Royal Astronomical Society 536(3) 3138 (2024) https://doi.org/10.1093/mnras/stae2810
Fast and realistic large-scale structure from machine-learning-augmented random field simulations
Davide Piras, Benjamin Joachimi and Francisco Villaescusa-Navarro Monthly Notices of the Royal Astronomical Society 520(1) 668 (2023) https://doi.org/10.1093/mnras/stad052
Forecasting the power of higher order weak-lensing statistics with automatically differentiable simulations
Denise Lanzieri, François Lanusse, Chirag Modi, Benjamin Horowitz, Joachim Harnois-Déraps and Jean-Luc Starck Astronomy & Astrophysics 679 A61 (2023) https://doi.org/10.1051/0004-6361/202346888
Fast multi-scale galaxy cluster detection with weak lensing: Towards a mass-selected sample
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
J-PLUS: a catalogue of globular cluster candidates around the M 81/M 82/NGC 3077 triplet of galaxies
Ana L Chies-Santos, Rafael S de Souza, Juan P Caso, et al. Monthly Notices of the Royal Astronomical Society 516(1) 1320 (2022) https://doi.org/10.1093/mnras/stac2002
IQ Collaboratory. III. The Empirical Dust Attenuation Framework—Taking Hydrodynamical Simulations with a Grain of Dust
ChangHoon Hahn, Tjitske K. Starkenburg, Daniel Anglés-Alcázar, Ena Choi, Romeel Davé, Claire Dickey, Kartheik G. Iyer, Ariyeh H. Maller, Rachel S. Somerville, Jeremy L. Tinker and L. Y. Aaron Yung The Astrophysical Journal 926(2) 122 (2022) https://doi.org/10.3847/1538-4357/ac4253
SPICY: The Spitzer/IRAC Candidate YSO Catalog for the Inner Galactic Midplane
Michael A. Kuhn, Rafael S. de Souza, Alberto Krone-Martins, Alfred Castro-Ginard, Emille E. O. Ishida, Matthew S. Povich and Lynne A. Hillenbrand The Astrophysical Journal Supplement Series 254(2) 33 (2021) https://doi.org/10.3847/1538-4365/abe465
Hundreds of weak lensing shear-selected clusters from the Hyper Suprime-Cam Subaru Strategic Program S19A data
Masamune Oguri, Satoshi Miyazaki, Xiangchong Li, Wentao Luo, Ikuyuki Mitsuishi, Hironao Miyatake, Surhud More, Atsushi J Nishizawa, Nobuhiro Okabe, Naomi Ota, Andrés A Plazas Malagón and Yousuke Utsumi Publications of the Astronomical Society of Japan 73(4) 817 (2021) https://doi.org/10.1093/pasj/psab047
Three-dimensional Reconstruction of Weak-lensing Mass Maps with a Sparsity Prior. I. Cluster Detection
Probability distribution function of the aperture mass field with large deviation theory
Alexandre Barthelemy, Sandrine Codis and Francis Bernardeau Monthly Notices of the Royal Astronomical Society 503(4) 5204 (2021) https://doi.org/10.1093/mnras/stab818
Mapping dark matter on the celestial sphere with weak gravitational lensing
Christopher G R Wallis, Matthew A Price, Jason D McEwen, et al. Monthly Notices of the Royal Astronomical Society 509(3) 4480 (2021) https://doi.org/10.1093/mnras/stab3235
Constraining neutrino masses with weak-lensing multiscale peak counts
A black box for dark sector physics: predicting dark matter annihilation feedback with conditional GANs
Florian List, Ishaan Bhat and Geraint F Lewis Monthly Notices of the Royal Astronomical Society 490(3) 3134 (2019) https://doi.org/10.1093/mnras/stz2759
Distinguishing standard and modified gravity cosmologies with machine learning