GALAXY CRUISE: Deep Insights into Interacting Galaxies in the Local Universe
Masayuki Tanaka, Michitaro Koike, Sei'ichiro Naito, Junko Shibata,, Kumiko Usuda-Sato, Hitoshi Yamaoka, Makoto Ando, Kei Ito, Umi Kobayashi,, Yutaro Kofuji, Atsuki Kuwata, Suzuka Nakano, Rhythm Shimakawa, Ken-ichi, Tadaki, Suguru Takebayashi, Chie Tsuchiya, Tomofumi Umemoto

TL;DR
GALAXY CRUISE is a citizen science project analyzing deep imaging data to better understand galaxy interactions, mergers, and their effects on black holes and star formation, providing valuable classifications for future research.
Contribution
This study introduces GALAXY CRUISE, a large-scale citizen science effort that improves galaxy interaction identification and insights into galaxy evolution using HSC-SSP data.
Findings
Interacting galaxies show enhanced black hole activity and star formation.
Classification accuracy surpasses previous studies with shallower data.
Mass growth rates align with stellar mass function evolution.
Abstract
We present the first results from GALAXY CRUISE, a community (or citizen) science project based on data from the Hyper Suprime-Cam Subaru Strategic Program (HSC-SSP). The current paradigm of galaxy evolution suggests that galaxies grow hierarchically via mergers, but our observational understanding of the role of mergers is still limited. The data from HSC-SSP are ideally suited to improve our understanding with improved identifications of interacting galaxies thanks to the superb depth and image quality of HSC-SSP. We have launched a community science project, GALAXY CRUISE, in 2019 and collected over 2 million independent classifications of 20,686 galaxies at z < 0.2. We first characterize the accuracy of the participants' classifications and demonstrate that it surpasses previous studies based on shallower imaging data. We then investigate various aspects of interacting galaxies in…
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Taxonomy
TopicsGalaxies: Formation, Evolution, Phenomena · Astronomy and Astrophysical Research · CCD and CMOS Imaging Sensors
