Where's Swimmy?: Mining unique color features buried in galaxies by deep anomaly detection using Subaru Hyper Suprime-Cam data

@inproceedings{Tanaka2021WheresSM,
  title={Where's Swimmy?: Mining unique color features buried in galaxies by deep anomaly detection using Subaru Hyper Suprime-Cam data},
  author={Takumi Tanaka and Rhythm Shimakawa and Kazuhiro Shimasaku and Yoshiki Toba and Nobunari Kashikawa and Masayuki Tanaka and Akio K. Inoue},
  year={2021}
}
We present the Swimmy (Subaru WIde-field Machine-learning anoMalY) survey program, a deep-learning-based search for unique sources using multicolored (grizy) imaging data from the Hyper Suprime-Cam Subaru Strategic Program (HSC-SSP). This program aims to detect unexpected, novel, and rare populations and phenomena, by utilizing the deep imaging data acquired from the wide-field coverage of the HSC-SSP. This article, as the first paper in the Swimmy series, describes an anomaly detection… 
Subaru/Hyper Suprime-Cam z-Broadband Excess Selection of Extreme Emission Line Galaxies at z < 1
We present a search for extreme emission line galaxies (EELGs) at z < 1 in the COSMOS and North Ecliptic Pole (NEP) fields with imaging from Subaru/Hyper Suprime-Cam (HSC) and a combination of new

References

SHOWING 1-2 OF 2 REFERENCES
Google Colaboratory. in Building Machine Learning and Deep Learning
  • Models on Google Cloud Platform (ed. Bisong,
  • 2019
Astronomical Data Analysis Software and
  • 2005