Highly Efficient Identification of Extreme Emission Line Galaxies in the Local Universe: >8000 New Green Pea Candidates at 0.12 < z < 0.36
Heather Samonski, Samir Salim, John Salzer

TL;DR
This study introduces a novel SED matching method to identify over 8,000 new Green Pea galaxy candidates in the local universe, significantly expanding the known population and aiding in understanding their high-redshift counterparts.
Contribution
It presents an effective photometric identification technique for Green Pea galaxies, overcoming spectroscopic survey limitations and revealing a large new sample including extended and merging systems.
Findings
Identified approximately 9,600 Green Pea candidates with 85% effectiveness.
Cataloged 8,313 new candidates and confirmed 917 with spectroscopy.
Discovered many extended Peas, suggesting diverse galaxy morphologies.
Abstract
The currently known compact extreme emission-line galaxies (the "Green Peas", GPs) in SDSS are rare and were mostly found among serendipitous spectroscopic targets, thus leaving open the possibility that a substantial population of GPs is missed. A significantly larger number of identified GPs in the Local Universe might provide a better characterization of their high-redshift analogs and Lyman continuum escape. In this paper, we confront the challenges of robustly identifying GPs without spectroscopic information, a needed approach considering the incompleteness of spectroscopic surveys for compact sources. The principal difficulty stems from a significant contamination of photometric candidates by stars and quasars of similar color. To solve this, we introduce an SED matching method, which separates candidate GPs from contaminants on the basis of SDSS and WISE photometry of…
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Taxonomy
TopicsGalaxies: Formation, Evolution, Phenomena · Astronomy and Astrophysical Research · Stellar, planetary, and galactic studies
