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Hybrid summary statistics: neural weak lensing inference beyond the power spectrum
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Fast generation of weak lensing maps with analytical point transformation functions
Bayesian inference of initial conditions from non-linear cosmic structures using field-level emulators
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Bayesian field-level inference of primordial non-Gaussianity using next-generation galaxy surveys
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Map-based cosmology inference with weak lensing – information content and its dependence on the parameter space
Fisher matrix for the angular power spectrum of multi-tracer galaxy surveys
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Field-level inference of galaxy intrinsic alignment from the SDSS-III BOSS survey
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Optimal machine-driven acquisition of future cosmological data
Cosmological constraints from the density gradient weighted correlation function
Xiaoyuan Xiao, Yizhao Yang, Xiaolin Luo, et al. Monthly Notices of the Royal Astronomical Society 513(1) 595 (2022) https://doi.org/10.1093/mnras/stac879
BAO scale inference from biased tracers using the EFT likelihood
Tomographic Alcock–Paczynski method with redshift errors
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ADDGALS: Simulated Sky Catalogs for Wide Field Galaxy Surveys
Risa H. Wechsler, Joseph DeRose, Michael T. Busha, Matthew R. Becker, Eli Rykoff and August Evrard The Astrophysical Journal 931(2) 145 (2022) https://doi.org/10.3847/1538-4357/ac5b0a
Matter trispectrum: theoretical modelling and comparison to N-body simulations
Lifting weak lensing degeneracies with a field-based likelihood
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Bayesian forward modelling of cosmic shear data
Natalia Porqueres, Alan Heavens, Daniel Mortlock and Guilhem Lavaux Monthly Notices of the Royal Astronomical Society 502(2) 3035 (2021) https://doi.org/10.1093/mnras/stab204
Cosmic Velocity Field Reconstruction Using AI
Ziyong Wu, Zhenyu Zhang, Shuyang Pan, Haitao Miao, Xiaolin Luo, Xin Wang, Cristiano G. Sabiu, Jaime Forero-Romero, Yang Wang and Xiao-Dong Li The Astrophysical Journal 913(1) 2 (2021) https://doi.org/10.3847/1538-4357/abf3bb
Impacts of the physical data model on the forward inference of initial conditions from biased tracers
Information content of higher order galaxy correlation functions
Lado Samushia, Zachary Slepian and Francisco Villaescusa-Navarro Monthly Notices of the Royal Astronomical Society 505(1) 628 (2021) https://doi.org/10.1093/mnras/stab1199
Using the Mark Weighted Correlation Functions to Improve the Constraints on Cosmological Parameters
Yizhao Yang, Haitao Miao, Qinglin Ma, Miaoxin Liu, Cristiano G. Sabiu, Jaime Forero-Romero, Yuanzhu Huang, Limin Lai, Qiyue Qian, Yi Zheng and Xiao-Dong Li The Astrophysical Journal 900(1) 6 (2020) https://doi.org/10.3847/1538-4357/aba35b
Super-resolution emulator of cosmological simulations using deep physical models
Benjamin D Wandelt, Francisco Villaescusa-Navarro, Tom Charnock and Doogesh Kodi Ramanah Monthly Notices of the Royal Astronomical Society 495(4) 4227 (2020) https://doi.org/10.1093/mnras/staa1428
Cosmological Constraints from the Redshift Dependence of the Alcock–Paczynski Effect: Possibility of Estimating the Nonlinear Systematics Using Fast Simulations
Qinglin Ma, Yiqing Guo, Xiao-Dong Li, Xin Wang, Haitao Miao, Zhigang Li, Cristiano G. Sabiu and Hyunbae Park The Astrophysical Journal 890(2) 92 (2020) https://doi.org/10.3847/1538-4357/ab6aa3
Cosmology inference from a biased density field using the EFT-based likelihood
Franz Elsner, Fabian Schmidt, Jens Jasche, Guilhem Lavaux and Nhat-Minh Nguyen Journal of Cosmology and Astroparticle Physics 2020(01) 029 (2020) https://doi.org/10.1088/1475-7516/2020/01/029
Cosmological information content in redshift-space power spectrum of SDSS-like galaxies in the quasinonlinear regime up to
k=0.3 h Mpc−1
Neural physical engines for inferring the halo mass distribution function
Michael J Hudson, Jens Jasche, Supranta Sarma Boruah, et al. Monthly Notices of the Royal Astronomical Society 494(1) 50 (2020) https://doi.org/10.1093/mnras/staa682
Sampling-based inference of the primordial CMB and gravitational lensing
Cosmological Constraints from the Redshift Dependence of the Alcock–Paczynski Effect: Fourier Space Analysis
Xiaolin Luo, Ziyong Wu, Miao Li, Zhigang Li, Cristiano G. Sabiu and Xiao-Dong Li The Astrophysical Journal 887(2) 125 (2019) https://doi.org/10.3847/1538-4357/ab50b5
Alcock–Paczynski Test with the Evolution of Redshift-space Galaxy Clustering Anisotropy
Hyunbae 현배 Park 박, Changbom Park, Cristiano G. Sabiu, Xiao-dong Li, Sungwook E. 성욱 Hong 홍, Juhan 주한 Kim 김, Motonari Tonegawa and Yi Zheng The Astrophysical Journal 881(2) 146 (2019) https://doi.org/10.3847/1538-4357/ab2da1
Nonparametric Dark Energy Reconstruction Using the Tomographic Alcock–Paczynski Test
Zhenyu Zhang, Gan Gu, Xiaoma Wang, Yun-He Li, Cristiano G. Sabiu, Hyunbae Park, Haitao Miao, Xiaolin Luo, Feng Fang and Xiao-Dong Li The Astrophysical Journal 878(2) 137 (2019) https://doi.org/10.3847/1538-4357/ab1ea4