3 papers
astro-ph.CO2025
A widely applicable Galaxy Group finder Using Machine Learning
Juntao Ma, Jie Wang, Tianxiang Mao +4
Galaxy groups are essential for studying the distribution of matter on a large scale in redshift surveys and for deciphering the link between galaxy traits and their associated hal…
astro-ph.CO2025
Prediction of Individual Halo Concentrations Across Cosmic Time Using Neural Networks
Tianchi Zhang, Tianxiang Mao, Wenxiao Xu +1
The concentration of dark matter haloes is closely linked to their mass accretion history. We utilize the halo mass accretion histories from large cosmological N-body simulations a…
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…