activity
20242026
most citedDeep-learning-based prediction of Precipitable Water Vapor in the Chajnantor area

1 citations · 1 across the 2 of their papers we have counts for

collaborators

5 papers

astro-ph.IM2026

and band sky brightness measurements from polar day to polar night at Dome A, Antarctica

Jinji Li, Bin Ma, Haonan Yang +9

The near-infrared (NIR) sky brightness is a fundamental parameter for evaluating the performance of ground-based infrared observatories. Dome~A on the Antarctic plateau offers exce…

astro-ph.IM20261 cited

Deep-learning-based prediction of Precipitable Water Vapor in the Chajnantor area

Alison Matus-Bello, Silvia E. Restrepo, Ricardo Bustos +7

Astronomical observations at millimeter and submillimeter wavelengths heavily depend on the amount of Precipitable Water Vapor (PWV) in the atmosphere, directly affecting the sky t…

astro-ph.IM2025

Antarctic Infrared Binocular Telescope. I. System Overview, Laboratory Testing, and On-Sky Performance Evaluation

Zhongnan Dong, Bin Ma, Haoran Zhang +5

Infrared time-domain surveys remain significantly underdeveloped compared with their optical counterparts. We have developed the Antarctic Infrared Binocular Telescope (AIRBT) to s…

astro-ph.IM2025

Probing the cosmological 21~cm global signal from the Antarctic ice sheet

Shijie Sun, Jiaqin Xu, Minquan Zhou +7

The redshifted 21 cm line, arising from neutral hydrogen, offers a unique probe into the intergalactic medium and the first stars and galaxies formed in the early universe. However…

astro-ph.IM2024

GRRIS: a real-time intra-site observation scheduling scheme for distributed survey telescope arrays

Yajie Zhang, Ce Yu, Chao Sun +4

The distributed telescope array offers promise for conducting large-sky-area, high-frequency time domain surveys. Multiple telescopes can be deployed at each observation site, so i…