Stellar Masses of Giant Clumps in CANDELS and Simulated Galaxies Using Machine Learning,Monthly Notices of the Royal Astronomical Society

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Stellar Masses of Giant Clumps in CANDELS and Simulated Galaxies Using Machine Learning
Monthly Notices of the Royal Astronomical Society ( IF 4.8 ) Pub Date : 2020-09-21 , DOI: 10.1093/mnras/staa2777
Marc Huertas-Company _{1,

2,

3,

4} , Yicheng Guo ₅ , Omri Ginzburg ₆ , Christoph T Lee ₇ , Nir Mandelker _{8,

9} , Maxwell Metter ₅ , Joel R Primack ₇ , Avishai Dekel _{6,

7} , Daniel Ceverino ₁₀ , Sandra M Faber ₁₁ , David C Koo ₁₁ , Anton Koekemoer ₁₂ , Gregory Snyder ₁₂ , Mauro Giavalisco ₁₃ , Haowen Zhang ₁₄

Affiliation

LERMA, Observatoire de Paris, PSL Research University, CNRS, Sorbonne Universités, UPMC Univ. Paris 06, F-75014 Paris, France
UFR de Physique,Univeristé de Paris, 5 Rue Thomas Mann, F-75013 Paris, France
Departamento de Astrofísica, Universidad de La Laguna, E-38206 La Laguna, Tenerife, Spain
Instituto de Astrofísica de Canarias, Universidad de La Laguna, E-38200 La Laguna, Tenerife, Spain
Department of Physics and Astronomy, University of Missouri, Columbia, MO 65211, USA
Racah Institute of Physics, The Hebrew University, Jerusalem 91904, Israel
Physics Department, University of California, Santa Cruz, CA 95064, USA
Department of Astronomy, Yale University, PO Box 208101, New Haven, CT 06520, USA
Heidelberger Institut für Theoretische Studien, Schloss-Wolfsbrunnenweg 35, D-69118 Heidelberg, Germany
Departamento de Física Teórica, CIAFF, Facultad de Ciencias, Universidad Autónoma de Madrid, E-28049 Madrid, Spain
UCO/Lick Observatory, Department of Astronomy and Astrophysics, University of California, Santa Cruz, CA 95064, USA
Space Telescope Science Institute, Baltimore, MD 21218, USA
Department of Astronomy, University of Massachusetts Amherst, 710 N Pleasant St, Amherst, MA 01003, USA
Department of Astronomy and Steward Observatory, University of Arizona, Tucson, AZ 85721, USA

A significant fraction of high redshift star-forming disc galaxies are known to host giant clumps, whose nature and role in galaxy evolution are yet to be understood. In this work we first present a new method based on neural networks to detect clumps in galaxy images. We use this method to detect clumps in the rest-frame optical and UV images of a complete sample of $\sim1500$ star forming galaxies at $1

中文翻译：

CANDELS 中巨团的恒星质量和使用机器学习的模拟星系

已知很大一部分高红移恒星形成盘星系拥有巨大的团块，其性质和在星系演化中的作用尚待了解。在这项工作中，我们首先提出了一种基于神经网络的新方法来检测星系图像中的团块。我们使用这种方法来检测 $\sim1500$ 恒星形成星系的完整样本的静止帧光学和 UV 图像中的团块，价格为 $1

更新日期：2020-09-21

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