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20242026
most citedFiltering Interlopers with Photometry and Diagnostic Features: A Machine Learning Framework Validated with CSST Slitless Spectroscopy

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

collaborators

6 papers

astro-ph.CO20261 cited

Filtering Interlopers with Photometry and Diagnostic Features: A Machine Learning Framework Validated with CSST Slitless Spectroscopy

Hui Peng, Yu Yu, Yiyang Guo +13

The slitless spectroscopic method employed by missions such as Euclid and the Chinese Space-station Survey Telescope (CSST) faces a fundamental challenge: spectroscopic redshifts d…

astro-ph.GA2025

Galaxy clusters from the DESI Legacy Imaging Surveys -- III. Star-forming fraction of brightest cluster galaxies

Shufei Liu, Hu Zou, Jinfu Gou +10

This study investigates the evolution of the star-forming fraction () of Brightest Cluster Galaxies (BCGs) at , using the galaxy clusters identified from th…

astro-ph.CO2025

CSST Large Scale Structure Analysis Pipeline: III. Emission-line Redshift Measurement for Slitless Spectra

Jipeng Sui, Hu Zou, Xiaohu Yang +21

The China Space Station Telescope (CSST) is a forthcoming space-based optical telescope designed to co-orbit with the Chinese Space Station. With a planned slitless spectroscopic s…

astro-ph.CO2025

Probing the cosmic web in Ly emission over large scales: an Intensity Mapping forecast for DECaLS/BASS and DESI

Pablo Renard, Daniele Spinoso, Zechang Sun +3

Being the most prominent HI line, Ly permeates the cosmic web in emission. Despite its potential as a cosmological probe, its detection on large scales remains elusive. We pres…

astro-ph.GA2024

Estimating Photometric Redshifts for Galaxies from the DESI Legacy Imaging Surveys with Bayesian Neural Networks Trained by DESI EDR

Xingchen Zhou, Nan Li, Hu Zou +6

We present a catalogue of photometric redshifts for galaxies from DESI Legacy Imaging Surveys, which includes billion sources covering 14,000 . The photomet…

astro-ph.CO2024

Accurately Estimating Redshifts from CSST Slitless Spectroscopic Survey using Deep Learning

Xingchen Zhou, Yan Gong, Xin Zhang +10

Chinese Space Station Telescope (CSST) has the capability to conduct slitless spectroscopic survey simultaneously with photometric survey. The spectroscopic survey will measure sli…