New Supernova Candidates from SDSS-DR7 of Spectral Survey
Liangping Tu, Ali Luo, Fuchao Wu, Chao Wu, Yongheng Zhao
TL;DR
This paper introduces a new method called Sample Decrease for discovering supernova candidates in SDSS-DR7, successfully identifying 25 candidates with 10 confirmations and 15 new discoveries, demonstrating the method's reliability.
Contribution
The paper presents a novel spectral survey method for supernova detection and provides the first discovery of 15 new supernova candidates, including 14 type Ia and one type II.
Findings
25 supernova candidates identified
10 candidates confirmed by other groups
15 new candidates discovered
Abstract
The letter presents 25 discovered supernova candidates from SDSS-DR7 with our dedicated method, called Sample Decrease, and 10 of them were confirmed by other research groups, and listed in this letter. Another 15 are first discovered including 14 type Ia and one type II based on Supernova Identification (SNID) analysis. The results proved that our method is reliable, and the description of the method and some detailed spectra analysis procedures were also presented in this letter.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.