2 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.CO2024
Estimation of line-of-sight velocities of individual galaxies using neural networks I. Modelling redshift-space distortions at large scales
Hongxiang Chen, Jie Wang, Tianxiang Mao +7
We present a scheme based on artificial neural networks (ANN) to estimate the line-of-sight velocities of individual galaxies from an observed redshift-space galaxy distribution. W…