Classification of Extremely Red Objects in the Hubble Ultra Deep Field
Guan-Wen Fang, Xu Kong, Min Wang

TL;DR
This study classifies Extremely Red Objects in the Hubble Ultra Deep Field using multiple methods, revealing the increasing prevalence of dusty star-forming galaxies at fainter magnitudes and highlighting wavelength-dependent morphological differences.
Contribution
It introduces four combined classification methods for EROs and analyzes their morphological properties across different wavelengths, providing a comprehensive approach to ERO classification.
Findings
Classification methods agree well in identifying galaxy types.
Dusty star-forming galaxies increase in fraction at fainter magnitudes.
Galaxy morphology varies with observation wavelength.
Abstract
In this paper we present a quantitative study of the classification of Extremely Red Objects (EROs). The analysis is based on the multi-band spatial- and ground-based observations (HST/ACS-, HST/NICMOS-, VLT-) in the Hubble Ultra Deep Field (UDF). Over a total sky area of 5.50 arcmin in the UDF, we select 24 EROs with the color criterion , corresponding to , down to . We develop four methods to classify EROs into Old passively evolving Galaxies (OGs) and Dusty star-forming Galaxies (DGs), including vs. color diagram, spectral energy distribution fitting method, Spitzer MIPS 24 m image matching, and nonparametric measure of galaxy morphology, and found that the classification results from these methods agree well. Using these four classification methods, we classify our EROs sample into 6 OGs…
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