Identifying Galaxy Mergers in Simulated CEERS NIRCam Images Using Random Forests

Identifying Galaxy Mergers in Simulated CEERS NIRCam Images Using Random Forests

Identifying merging galaxies is an important—but difficult—step in galaxy evolution studies. We present random forest (RF) classifications of galaxy mergers from simulated JWST images based on various standard morphological parameters. We describe (a) constructing the simulated images from Illustris...

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Bibliographic Details
Main Authors: Caitlin Rose, Jeyhan S. Kartaltepe, Gregory F. Snyder, Vicente Rodriguez-Gomez, L. Y. Aaron Yung, Pablo Arrabal Haro, Micaela B. Bagley, Antonello Calabró, Nikko J. Cleri, M. C. Cooper, Luca Costantin, Darren Croton, Mark Dickinson, Steven L. Finkelstein, Boris Häußler, Benne W. Holwerda, Anton M. Koekemoer, Peter Kurczynski, Ray A. Lucas, Kameswara Bharadwaj Mantha, Casey Papovich, Pablo G. Pérez-González, Nor Pirzkal, Rachel S. Somerville, Amber N. Straughn, Sandro Tacchella
Format: Article
Language:English
Published: IOP Publishing 2023-01-01
Series:The Astrophysical Journal
Subjects:
Random Forests
Galaxy mergers
Astronomical simulations
James Webb Space Telescope
Online Access:https://doi.org/10.3847/1538-4357/ac9f10

Internet

https://doi.org/10.3847/1538-4357/ac9f10

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