13 papers
CMB delensing with deep learning
Shulei Ni, Yichao Li, Xin Zhang
The cosmic microwave background (CMB) stands as a pivotal source for studying weak gravitational lensing. While the lensed CMB aids in constraining cosmological parameters, it simu…
Prospects for cosmological research using hundred-meter-class radio telescopes: 21-cm intensity mapping survey strategies with QTT, JRT, and HRT
Jun-Da Pan, Yichao Li, Guo-Hong Du +2
Understanding dark energy requires precision measurements of the expansion history of the universe and the growth of large-scale structure. The 21 cm intensity mapping (21 cm IM) t…
Exploring HI Galaxy Redshift Survey Strategies for the FAST Core Array Interferometry
Zhenglong Li, Diyang Liu, Chengliang Xu +2
We explore the feasibility of HI galaxy redshift surveys with the Five-hundred-meter Aperture Spherical Telescope (FAST) and its proposed Core Array interferometry. Using semi-anal…
Deep learning-driven likelihood-free parameter inference for 21-cm forest observations
Tian-Yang Sun, Yue Shao, Yichao Li +3
The hyperfine structure absorption lines of neutral hydrogen in spectra of high-redshift radio sources, known collectively as the 21-cm forest, have been demonstrated as a sensitiv…
FAST Drift Scan Survey for HI Intensity Mapping. II. Stacking-based Beam Construction of the 19-feed Array at GHz
Xinyang Zhao, Yichao Li, Wenxiu Yang +7
Neutral hydrogen (HI) intensity mapping (IM) presents great promise for future cosmological large-scale structure surveys. However, a major challenge for HIIM cosmological studies…
FAST drift scan survey for HI intensity mapping: simulation on hunting HI filament with pairwise stacking
Diyang Liu, Yichao Li, Denis Tramonte +5
Filaments stand as pivotal structures within the cosmic web. However, direct detection of the cold gas content of the filaments remains challenging due to its inherent low brightne…