The quijote simulations F Villaescusa-Navarro, CH Hahn, E Massara, A Banerjee, AM Delgado, ... The Astrophysical Journal Supplement Series 250 (1), 2, 2020 | 292 | 2020 |
nbodykit: An open-source, massively parallel toolkit for large-scale structure N Hand, Y Feng, F Beutler, Y Li, C Modi, U Seljak, Z Slepian The Astronomical Journal 156 (4), 160, 2018 | 257 | 2018 |
Super-sample covariance in simulations Y Li, W Hu, M Takada Physical Review D 89 (8), 083519, 2014 | 252 | 2014 |
The camels project: Cosmology and astrophysics with machine-learning simulations F Villaescusa-Navarro, D Anglés-Alcázar, S Genel, DN Spergel, ... The Astrophysical Journal 915 (1), 71, 2021 | 241 | 2021 |
Learning to predict the cosmological structure formation S He, Y Li, Y Feng, S Ho, S Ravanbakhsh, W Chen, B Póczos Proceedings of the National Academy of Sciences 116 (28), 13825-13832, 2019 | 232 | 2019 |
The abundance of voids and the excursion set formalism E Jennings, Y Li, W Hu Monthly Notices of the Royal Astronomical Society 434 (3), 2167-2181, 2013 | 153 | 2013 |
The ASTRID simulation: the evolution of supermassive black holes Y Ni, T Di Matteo, S Bird, R Croft, Y Feng, N Chen, M Tremmel, C DeGraf, ... Monthly Notices of the Royal Astronomical Society 513 (1), 670-692, 2022 | 95 | 2022 |
AI-assisted superresolution cosmological simulations Y Li, Y Ni, RAC Croft, T Di Matteo, S Bird, Y Feng Proceedings of the National Academy of Sciences 118 (19), e2022038118, 2021 | 89 | 2021 |
Super-sample signal Y Li, W Hu, M Takada Physical Review D 90 (10), 103530, 2014 | 88 | 2014 |
Chameleon halo modeling in gravity Y Li, W Hu Physical Review D—Particles, Fields, Gravitation, and Cosmology 84 (8), 084033, 2011 | 88 | 2011 |
An optimal FFT-based anisotropic power spectrum estimator N Hand, Y Li, Z Slepian, U Seljak Journal of Cosmology and Astroparticle Physics 2017 (07), 002, 2017 | 82 | 2017 |
The camels multifield data set: Learning the universe’s fundamental parameters with artificial intelligence F Villaescusa-Navarro, S Genel, D Angles-Alcazar, L Thiele, R Dave, ... The Astrophysical Journal Supplement Series 259 (2), 61, 2022 | 68 | 2022 |
Separate universe consistency relation and calibration of halo bias Y Li, W Hu, M Takada Physical Review D 93 (6), 063507, 2016 | 64 | 2016 |
Scale-dependent bias and bispectrum in neutrino separate universe simulations CT Chiang, W Hu, Y Li, M LoVerde Physical Review D 97 (12), 123526, 2018 | 62 | 2018 |
The multidimensional dependence of halo bias in the eye of a machine: a tale of halo structure, assembly, and environment J Han, Y Li, Y Jing, T Nishimichi, W Wang, C Jiang Monthly Notices of the Royal Astronomical Society 482 (2), 1900-1919, 2019 | 55 | 2019 |
Galaxy power-spectrum responses and redshift-space super-sample effect Y Li, M Schmittfull, U Seljak Journal of Cosmology and Astroparticle Physics 2018 (02), 022, 2018 | 54 | 2018 |
Large-scale tidal effect on redshift-space power spectrum in a finite-volume survey K Akitsu, M Takada, Y Li Physical Review D 95 (8), 083522, 2017 | 48 | 2017 |
AI-assisted superresolution cosmological simulations–II. Halo substructures, velocities, and higher order statistics Y Ni, Y Li, P Lachance, RAC Croft, T Di Matteo, S Bird, Y Feng Monthly Notices of the Royal Astronomical Society 507 (1), 1021-1033, 2021 | 37 | 2021 |
The CAMELS project: public data release F Villaescusa-Navarro, S Genel, D Anglés-Alcázar, LA Perez, ... The Astrophysical Journal Supplement Series 265 (2), 54, 2023 | 36 | 2023 |
JAX-COSMO: An end-to-end differentiable and GPU accelerated cosmology library JE Campagne, F Lanusse, J Zuntz, A Boucaud, S Casas, M Karamanis, ... arXiv preprint arXiv:2302.05163, 2023 | 34 | 2023 |