867 citations · 4.8k across the 100 of their papers we have counts for
100 papers
Lensing reconstruction from the cosmic microwave background polarization with machine learning
Ye-Peng Yan, Guo-Jian Wang, Si-Yu Li +2
The lensing effect of the cosmic microwave background (CMB) is a powerful tool for our study of the distribution of matter in the universe. Currently, the quadratic estimator (EQ)…
CoLFI: Cosmological Likelihood-free Inference with Neural Density Estimators
Guo-Jian Wang, Cheng Cheng, Yin-Zhe Ma +3
In previous works, we proposed to estimate cosmological parameters with the artificial neural network (ANN) and the mixture density network (MDN). In this work, we propose an impro…
Delensing of Cosmic Microwave Background Polarization with machine learning
Ye-Peng Yan, Guo-Jian Wang, Si-Yu Li +1
Primordial B-mode detection is one of the main goals of next-generation cosmic microwave background (CMB) experiments. Primordial B-modes are a unique signature of primordial gravi…
Recovering Cosmic Microwave Background Polarization Signals with Machine Learning
Ye-Peng Yan, Guo-Jian Wang, Si-Yu Li +1
Primordial B-mode detection is one of the main goals of current and future cosmic microwave background (CMB) experiments. However, the weak B-mode signal is overshadowed by several…
Searching for Signal of Primordial Black Hole from CMB Lensing and -ray Emissions
Xiu-Hui Tan, Yang-Jie Yan, Taotao Qiu +1
In this , we search for the signal of the primordial black holes (PBHs) by correlating the -ray emissions in the MeV energy band produced by the Hawking evapora…
Probing the Cosmological Principle with the CSST Photometric Survey
Yu-Tian Xu, Ji-Ping Dai, Dong Zhao +1
The cosmological principle states that our Universe is statistically homogeneous and isotropic at large scales. However, due to the relative motion of the Solar System, an addition…