32 citations · 66 across the 13 of their papers we have counts for
7 papers · 1 filter
The Three Hundred Project: The relationship between the shock and splashback radii of simulated galaxy clusters
M. Zhang, K. Walker, A. Sullivan +4
Observations of the intracluster medium (ICM) in the outskirts of galaxy clusters reveal shocks associated with gas accretion from the cosmic web. Previous work based on non-radiat…
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…
Prospects for cosmological research with the FAST array: 21-cm intensity mapping survey observation strategies
Jun-Da Pan, Peng-Ju Wu, Guo-Hong Du +2
Precise cosmological measurements are essential for understanding the evolution of the universe and the nature of dark energy. The Five-hundred-meter Aperture Spherical Telescope (…
Prospects for Observing High-redshift Radio-loud Quasars in the SKA Era: Paving the Way for 21-cm Forest Observations
Qi Niu, Yichao Li, Yidong Xu +2
The 21-cm forest is a sensitive probe for the early heating process and small-scale structures during the epoch of reionization (EoR), to be realized with the upcoming Square Kilom…
The FAST HI 21-cm absorption blind survey. II. -- Statistic Exploration for Associated and Intervening systems
Wenkai Hu, Yougang Wang, Yichao Li +12
We present an extragalactic HI 21-cm absorption lines catalog from a blind search at z 0.35, using drift-scan data collected in 1325.6 hours by the ongoing Commensal Ra…
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…