activity
20242026
most citedHiFAST: An HI data calibration and imaging pipeline for the FAST IV: The stray-radiation correction

1 citations · 1 across the 3 of their papers we have counts for

collaborators

7 papers

astro-ph.GA2026

A RELHIC twin candidate near the galaxy M51

Qingze Chen, Jie Wang, Yingjie Jing +7

We report the discovery of a pair of H I clouds near M51 (NGC 5194) using the Five-hundred-meter Aperture Spherical radio Telescope (FAST). These clouds have no optical counterpart…

astro-ph.IM20261 cited

HiFAST: An HI data calibration and imaging pipeline for the FAST IV: The stray-radiation correction

Qingze Chen, Jie Wang, Yingjie Jing +12

Stray radiation is a considerable challenge for radio telescopes, requiring careful assessment due to its effects. This is crucial when the strong background flux from side lobes s…

astro-ph.CO2026

Unveiling a Thin Filament of the Cosmic Web in the Ursa Major Supergroup

Jin-Long Xu, Ming Zhu, Peng Jiang +6

Filaments are crucial components of the cosmic web, representing the extensive and aligned distributions of galaxies and gas. Using the Five-hundred-meter Aperture Spherical radio…

astro-ph.GA2025

FEASTS Combined with Interferometry (IV): Mapping HI Emission to a limit of in Seven Edge-on Galaxies

Dong Yang, Jing Wang, Zhijie Qu +17

We present a statistical study of the neutral atomic hydrogen (HI) gas extending into the circumgalactic medium perpendicular to the disk for 7 edge-on galaxies with inclinations a…

astro-ph.GA2025

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…

astro-ph.SR2025

Half a Million Binary Stars from the low resolution spectra of LAMOST

Yingjie Jing, Tian-Xiang Mao, Jie Wang +2

Binary stars are prevalent yet challenging to detect. We present a novel approach using convolutional neural networks (CNNs) to identify binary stars from low-resolution spectra ob…