activity
20192025
most citedChemical and Kinematic Properties of the Galactic Disk from the LAMOST and Gaia Sample Stars

45 citations · 151 across the 10 of their papers we have counts for

collaborators

10 papers

astro-ph.CO2025

Foreground Removal in Ground-Based CMB Observations Using a Transformer Model

Ye-Peng Yan, Si-Yu Li, Yang Liu +2

We present a novel method for Cosmic Microwave Background (CMB) foreground removal based on deep learning techniques. This method employs a Transformer model, referred to as \textt…

astro-ph.CO2024★ 1 cited

CMBFSCNN: Cosmic Microwave Background Polarization Foreground Subtraction with Convolutional Neural Network

Ye-Peng Yan, Si-Yu Li, Guo-Jian Wang +2

In our previous study, we introduced a machine-learning technique, namely CMBFSCNN, for the removal of foreground contamination in cosmic microwave background (CMB) polarization da…

astro-ph.CO2023★ 5 cited

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)…

astro-ph.CO2023★ 10 cited

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…

astro-ph.CO2023★ 12 cited

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…

astro-ph.CO2022★ 26 cited

Recovering the CMB Signal with Machine Learning

Guo-Jian Wang, Hong-Liang Shi, Ye-Peng Yan +4

The cosmic microwave background (CMB), carrying the inhomogeneous information of the very early universe, is of great significance for understanding the origin and evolution of our…

astro-ph.GA2021★ 8 cited

Element abundance analysis of the metal-rich stellar halo and high-velocitythick disk in the galaxy

Haifan Zhu, Cuihua Du, Yepeng Yan +3

Based on the second Gaia data release (DR2) and APOGEE (DR16) spectroscopic surveys, wedefined two kinds of star sample: high-velocity thick disk (HVTD) with and metal-…

astro-ph.GA2020★ 8 cited

Existence of the Metal-Rich Stellar Halo and High-velocity Thick Disk in the Galaxy

Yepeng Yan, Cuihua Du, Hefan Li +3

Based on the second Gaia data release (DR2), combined with the LAMOST and APOGEE spectroscopic surveys, we study the kinematics and metallicity distribution of the high-velocity st…

astro-ph.GA2019★ 36 cited

New nearby hypervelocity stars and their spatial distribution from Gaia DR2

Cuihua Du, Hefan Li, Yepeng Yan +5

Base on about 4,500 large tangential velocity () with high-precision proper motions and parallaxes in Gaia DR2 5D information derived from p…

astro-ph.GA2019★ 45 cited

Chemical and Kinematic Properties of the Galactic Disk from the LAMOST and Gaia Sample Stars

Yepeng Yan, Cuihua Du, Shuai Liu +5

We determined the chemical and kinematic properties of the Galactic thin and thick disk using a sample of 307,246 A/F/G/K-type giant stars from the LAMOST spectroscopic survey and…