Machine-learning selection of optical transients in the Subaru/Hyper Suprime-Cam survey-Reference-Cited by-同舟云学术

Machine-learning selection of optical transients in the Subaru/Hyper Suprime-Cam survey

Published:2016-10-17 Issue:6 Volume:68 Page:104
ISSN:0004-6264
Container-title:Publications of the Astronomical Society of Japan
language:en
Short-container-title:Publ. Astron. Soc. Jpn

Author:

Morii Mikio,Ikeda Shiro,Tominaga Nozomu,Tanaka Masaomi,Morokuma Tomoki,Ishiguro Katsuhiko,Yamato Junji,Ueda Naonori,Suzuki Naotaka,Yasuda Naoki,Yoshida Naoki

Funder

Toyota foundation

Grants-in-Aid for Scientific Research of JSPS

MEXT

Publisher

Oxford University Press (OUP)

Subject

Space and Planetary Science,Astronomy and Astrophysics

Link

http://academic.oup.com/pasj/article-pdf/68/6/104/8357402/psw096.pdf

Reference23 articles.

1. THE EIGHTH DATA RELEASE OF THE SLOAN DIGITAL SKY SURVEY: FIRST DATA FROM SDSS-III

2. Image subtraction using a space-varying kernel

3. A Method for Optimal Image Subtraction

4. How to Find More Supernovae with Less Work: Object Classification Techniques for Difference Imaging

Cited by 28 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Machine learning for observational cosmology;Reports on Progress in Physics;2023-05-26

2. AUC Maximization in the Era of Big Data and AI: A Survey;ACM Computing Surveys;2022-12-23

3. Deep-learning real/bogus classification for the Tomo-e Gozen transient survey;Publications of the Astronomical Society of Japan;2022-06-22

4. Machine learning for fast transients for the Deeper, Wider, Faster programme with the Removal Of BOgus Transients (ROBOT) pipeline;Monthly Notices of the Royal Astronomical Society;2022-04-13

5. Unanticipated Fault Diagnosis Method of Telescope Drive System Based on Latent Variable Mining;Publications of the Astronomical Society of the Pacific;2022-01-01