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...

Descripción completa

Detalles Bibliográficos

Autores principales:	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
Lenguaje:	Inglês
Publicado:	IOP Publishing 2026-01-01
Colección:	The Astrophysical Journal
Materias:	Redshift surveys Astronomy data analysis Large-scale structure of the universe
Acceso en línea:	https://doi.org/10.3847/1538-4357/ae6644
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!