Searching for Type Ia Supernovae in the Dark Energy Spectroscopic Instrument
Abstract
With the development of large-scale photometric surveys, an increasing number of supernova candidates are being discovered, leading to a rapidly growing demand for supernova spectra. In addition to equipping photometric surveys with follow-up spectroscopic facilities, archival spectra from large multi-object spectroscopic surveys can be mined to provide spectroscopic classifications for candidates and to find supernovae missed by previous surveys. In this work, we combine Principal Component Analysis (PCA), the Local Outlier Factor (LOF) algorithm, and the supernova classification tool SNID to search for Type Ia supernovae among 1,757,303 galaxy spectra from the Dark Energy Spectroscopic Instrument (DESI) Data Release 1 (DR1). We finally obtain 247 Type Ia supernovae and 17 supernovae of other types. Among these, 202 supernovae lack classification records in the Transient Name Server (TNS) and represent newly identified SNe. These results demonstrate the potential of multi-object spectroscopic surveys to supplement supernova samples, particularly for transients missed by traditional photometric surveys.
Versions
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BibTeX
@misc{zhuang2026searching,
title = {{Searching for Type Ia Supernovae in the Dark Energy Spectroscopic Instrument}},
author = {Xiaoyu Zhuang and Song Ran and Dezheng Meng and Weiyu Ding and Ranfang Zheng and Yao Yao and Zheyu Lin and Bingxue Fu and Fujia Li and Zelin Xu and Jie Song and Xu Kong},
howpublished = {arXiv},
year = {2026},
month = sep,
doi = {10.48550/arxiv.2609.09661},
eprint = {2609.09661},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2609.09661},
note = {CC BY 4.0},
}
RIS
TY - UNPB
TI - Searching for Type Ia Supernovae in the Dark Energy Spectroscopic Instrument
AU - Xiaoyu Zhuang
AU - Song Ran
AU - Dezheng Meng
AU - Weiyu Ding
AU - Ranfang Zheng
AU - Yao Yao
AU - Zheyu Lin
AU - Bingxue Fu
AU - Fujia Li
AU - Zelin Xu
AU - Jie Song
AU - Xu Kong
PY - 2026
DA - 2026/09/09
PB - arXiv
DO - 10.48550/arxiv.2609.09661
UR - https://arxiv.org/abs/2609.09661
AB - With the development of large-scale photometric surveys, an increasing number of supernova candidates are being discovered, leading to a rapidly growing demand for supernova spectra. In addition to equipping photometric surveys with follow-up spectroscopic facilities, archival spectra from large multi-object spectroscopic surveys can be mined to provide spectroscopic classifications for candidates and to find supernovae missed by previous surveys. In this work, we combine Principal Component Analysis (PCA), the Local Outlier Factor (LOF) algorithm, and the supernova classification tool SNID to search for Type Ia supernovae among 1,757,303 galaxy spectra from the Dark Energy Spectroscopic Instrument (DESI) Data Release 1 (DR1). We finally obtain 247 Type Ia supernovae and 17 supernovae of other types. Among these, 202 supernovae lack classification records in the Transient Name Server (TNS) and represent newly identified SNe. These results demonstrate the potential of multi-object spectroscopic surveys to supplement supernova samples, particularly for transients missed by traditional photometric surveys.
ER -