Deep Learning Identifies High-z Galaxies in a Central Blue Nugget Phase in a Characteristic Mass Range

We use machine learning to identify in color images of high-redshift galaxies an astrophysical phenomenon predicted by cosmological simulations. This phenomenon, called the blue nugget (BN) phase, is the compact star-forming phase in the central regions of many growing galaxies that follows an earli...

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Bibliographic Details
Published in:	The Astrophysical journal Vol. 858; no. 2; pp. 114 - 130
Main Authors:	Huertas-Company, M., Primack, J. R., Dekel, A., Koo, D. C., Lapiner, S., Ceverino, D., Simons, R. C., Snyder, G. F., Bernardi, M., Chen, Z., Domínguez-Sánchez, H., Lee, C. T., Margalef-Bentabol, B., Tuccillo, D.
Format:	Journal Article
Language:	English
Published:	Philadelphia The American Astronomical Society 10.05.2018 IOP Publishing American Astronomical Society Institute of Physics (IOP)
Subjects:	Artificial neural networks Astronomy & Astrophysics ASTRONOMY AND ASTROPHYSICS Astrophysics Color imagery Computer simulation Deep learning Galactic evolution Galaxies galaxies: bulges galaxies: fundamental parameters galaxies: high-redshift Luminosity Machine learning Neural networks Phases Physics Polls & surveys Red shift Simulation Star formation Stars & galaxies Stellar mass Windows (intervals)
ISSN:	0004-637X, 1538-4357, 1538-4357
Online Access:	Get full text
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