3 citations · 7 across the 7 of their papers we have counts for
7 papers
ELUCID-DESI II. Revealing dark matter mass, tidal, and velocity (MTV) fields using galaxy group phase information
Qingyang Li, Xiaohu Yang, Wensheng Hong +24
We introduce a novel method for reconstructing the cosmic mass, tidal, and velocity (MTV) fields over the redshift range using the phase information of galaxy groups.…
AstroSkyFlow: an astronomical sky image flow simulator for time domain survey validation and machine learning
Kexin Li, Yicheng Rui, Fabo Feng +5
Modern time-domain optical surveys produce massive data volumes that require robust, high-fidelity simulated datasets for developing and validating automated pipelines and machine-…
What can galaxy clustering really tell us about the galaxy-halo connections?
Xiaoju Xu, Xiaohu Yang, Zhongxu Zhai +6
Subhalo abundance matching (SHAM) is a commonly used framework for modeling the galaxy-halo connection. Yet, its standard implementation has difficulty reproducing the observed gal…
Filtering Interlopers with Photometry and Diagnostic Features: A Machine Learning Framework Validated with CSST Slitless Spectroscopy
Hui Peng, Yu Yu, Yiyang Guo +13
The slitless spectroscopic method employed by missions such as Euclid and the Chinese Space-station Survey Telescope (CSST) faces a fundamental challenge: spectroscopic redshifts d…
Search for Past Stellar Encounters and the Origin of 3I/ATLAS
Yiyang Guo, Luyao Zhang, Fabo Feng +3
3I/ATLAS, the third discovered interstellar object, has a heliocentric speed of 58 km/s and exhibits cometary activity. To constrain the origin of 3I/ATLAS and its past dynamical e…
The detection, extraction and parameter estimation of extreme-mass-ratio inspirals with deep learning
Qianyun Yun, Wen-Biao Han, Yi-Yang Guo +2
One of the primary goals of space-borne gravitational wave detectors is to detect and analyze extreme-mass-ratio inspirals (EMRIs). This endeavor presents a significant challenge d…
Detecting extreme-mass-ratio inspirals for space-borne detectors with deep learning
Qianyun Yun, Wen-Biao Han, Yi-Yang Guo +2
One of the primary objectives for space-borne gravitational wave detectors is the detection of extreme-mass-ratio inspirals (EMRIs). This undertaking poses a substantial challenge…