6 papers
The Shear-to-Cosmology Paradigm I. Hybrid Field-Level and Simulation-Based Framework for Weak Lensing Surveys
Jiacheng Ding, Chen Su, Ji Yao +2
Precise cosmological inference from next-generation weak lensing surveys requires extracting non-Gaussian information beyond standard two-point statistics. We present a hybrid mach…
Extracting Cosmological Information from Lightcone Data: A Comparison of CNNs and Summary-Statistic-Based Approaches
Min Zhiwei, Xiao Xu, Jiang Zhujun +9
Lightcone observations are the natural data format of galaxy surveys, but their evolving geometry breaks the translational symmetry assumed by standard convolutional neural network…
Enhancing cosmological constraints with nonlinear tanh transformations of Hermite-Gaussian Derivative fields
Zhiwei Min, Ye Ma, Zhujun Jiang +4
A key goal in large-scale structure analysis is to extract multi-scale information to improve cosmological parameter constraints. In particular, higher-order derivative fields are…
A New Wavelet Scattering Transform-Based Statistic for Cosmological Analysis of Large-Scale Structure
Zhujun Jiang, Xiaolin Luo, Wenying Du +6
Large-scale structure (LSS) analysis in galaxy surveys is a powerful cosmological probe but is limited by tracer bias, which can obscure underlying information and weaken parameter…
Testing the Equivalence Principle on Cosmological Scales Using Peculiar Acceleration Power Spectrum
Guoyuan Lu, Yi Zheng, Le Zhang +3
While the (weak) Equivalence Principle (EP) has been rigorously tested within the solar system, its validity on cosmological scales, particularly in the context of dark matter and…
Enhancing Cosmological Constraints by Two-dimensional -cosmic-web Weighted Angular Correlation Functions
Fenfen Yin, Liang Xiao, Wenying Du +6
In this study, we investigate the potential of mark-weighted angular correlation functions (MACFs), which integrate -cosmic-web classification with angular correlation function…