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Yin Li
Yin Li
Peng Cheng Laboratory
Verified email at pcl.ac.cn - Homepage
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Cited by
Cited by
Year
The quijote simulations
F Villaescusa-Navarro, CH Hahn, E Massara, A Banerjee, AM Delgado, ...
The Astrophysical Journal Supplement Series 250 (1), 2, 2020
2582020
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
2392018
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
2172019
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
2072021
Super-sample covariance in simulations
Y Li, W Hu, M Takada
Physical Review D 89 (8), 083519, 2014
2032014
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
1512013
Chameleon halo modeling in f (R) gravity
Y Li, W Hu
Physical Review D 84 (8), 084033, 2011
872011
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
862021
Super-sample signal
Y Li, W Hu, M Takada
Physical Review D 90 (10), 103530, 2014
862014
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
782022
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
712017
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
632018
Separate universe consistency relation and calibration of halo bias
Y Li, W Hu, M Takada
Physical Review D 93 (6), 063507, 2016
632016
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
582022
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
542019
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
522018
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
472017
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
372021
Separating the Universe into real and fake energy densities
W Hu, CT Chiang, Y Li, M LoVerde
Physical Review D 94 (2), 023002, 2016
262016
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
242023
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