Galaxy Cruise: Deep Insights into Interacting Galaxies in the Local Universe

IF 2.2 4区 物理与天体物理 Q2 ASTRONOMY & ASTROPHYSICS Publications of the Astronomical Society of Japan Pub Date : 2023-09-26 DOI:10.1093/pasj/psad055
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, Connor Bottrell
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Abstract

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 launched a community science project, GALAXY CRUISE, in 2019 and have collected over two million independent classifications of 20686 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 detail. We show that there is a clear sign of enhanced activities of super-massive black holes and star formation in interacting galaxies compared to those in isolated galaxies. The enhancement seems particularly strong for galaxies undergoing violent mergers. We also show that the mass growth rate inferred from our results is roughly consistent with the observed evolution of the stellar mass function. The second season of GALAXY CRUISE is currently underway and we conclude with future prospects. We make the morphological classification catalog used in this paper publicly available at the GALAXY CRUISE website, which will be particularly useful for machine-learning applications.
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银河巡航:深入了解当地宇宙中相互作用的星系
我们提出了银河巡航的第一个结果,银河巡航是一个社区(或公民)科学项目,基于超级超级凸轮斯巴鲁战略计划(HSC-SSP)的数据。目前的星系演化范式表明,星系通过合并分层增长,但我们对合并作用的观测理解仍然有限。来自HSC-SSP的数据非常适合提高我们对相互作用星系的认识,这要归功于HSC-SSP的极好的深度和图像质量。我们在2019年启动了一个社区科学项目,银河巡航,并收集了20686个星系的200多万份独立分类。0.2. 我们首先描述了参与者分类的准确性,并证明它超越了以前基于较浅成像数据的研究。然后我们详细研究相互作用星系的各个方面。我们表明,与孤立星系相比,相互作用星系中超大质量黑洞和恒星形成活动增强的明显迹象。在经历剧烈合并的星系中,这种增强似乎特别强烈。我们还表明,从我们的结果推断出的质量增长率与观测到的恒星质量函数的演化大致一致。银河邮轮第二季目前正在进行中,我们展望未来。我们在GALAXY CRUISE网站上公开了本文中使用的形态分类目录,这对机器学习应用特别有用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Publications of the Astronomical Society of Japan
Publications of the Astronomical Society of Japan 地学天文-天文与天体物理
CiteScore
4.10
自引率
13.00%
发文量
98
审稿时长
4-8 weeks
期刊介绍: Publications of the Astronomical Society of Japan (PASJ) publishes the results of original research in all aspects of astronomy, astrophysics, and fields closely related to them.
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