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

The slitless spectroscopic method employed by missions such as Euclid and the Chinese Space-station Survey Telescope (CSST) faces a fundamental challenge: spectroscopic redshifts derived from their data are susceptible to emission-line misidentification due to the limited spectral resolution and sig...

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Detalles Bibliográficos

Principais autores:	Hui Peng, Yu Yu, Yiyang Guo, Yizhou Gu, Run Wen, Yunkun Han, Jipeng Sui, Hu Zou, Xiaohu Yang, Pengjie Zhang, Xian Zhong Zheng, Hong Guo, Yipeng Jing, Cheng Li, Hu Zhan, Gongbo Zhao
Formato:	Artigo
Idioma:	Inglês
Publicado:	IOP Publishing 2026-01-01
Series:	The Astrophysical Journal
Assuntos:	Redshift surveys Astronomy data analysis Large-scale structure of the universe
Acceso en liña:	https://doi.org/10.3847/1538-4357/ae6644
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