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20242026
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astro-ph.IM2026

M-EPDet: Real-Time Real-Bogus Classification and Transient Candidate Judgement for the EP-WXT Pipeline via Multi-Modal Data

Lang Chen, Yunfei Xu, Zhen Zhang +8

The Wide-field X-ray Telescope (WXT) onboard the Einstein Probe (EP) produces a large post-detection candidate stream in which genuine astrophysical sources coexist with instrument…

astro-ph.IM2026

Deep learning-based astronomical multimodal data fusion: A comprehensive review

Wujun Shao, Dongwei Fan, Chenzhou Cui +3

With the rapid advancements in observational technologies and the widespread implementation of large-scale sky surveys, diverse electromagnetic wave data (e.g., optical and infrare…

astro-ph.IM2025

Digitization of Astronomical Photographic Plate of China: Photometric Calibration of Single-exposure Plates and Release of Photometric Catalogs

Ma Mingyang, Yuan Haibo, Xiao Kai +15

The Chinese Plate-Digitizing Project has digitized a total number of about 30,000 astronomical plates from 11 telescopes of five observatories (SHAO, NAOC, PMO, YNAO, and QDO) in C…

astro-ph.IM2025

Photometric redshift estimation for emission line galaxies of DESI Legacy Imaging Surveys by CNN-MLP

Shirui Wei, Changhua Li, Yanxia Zhang +13

Emission Line Galaxies (ELGs) are crucial for cosmological studies, particularly in understanding the large-scale structure of the Universe and the role of dark energy. ELGs form a…

astro-ph.IM2025

FALCO: a Foundation model of Astronomical Light Curves for time dOmain astronomy

Xiaoxiong Zuo, Yihan Tao, Yang Huang +13

Time-domain surveys have advanced astronomical research by revealing diverse variable phenomena, from stellar flares to transient events. The scale and complexity of survey data, a…

astro-ph.IM2024

Mining double-line spectroscopic candidates in the LAMOST medium-resolution spectroscopic survey using human-AI hybrid method

Shan-shan Li, Chun-qian Li, Chang-hua Li +5

We utilize a hybrid approach that integrates the traditional cross-correlation function (CCF) and machine learning to detect spectroscopic multi-systems, specifically focusing on d…