ODIN: A New Lyman Alpha Blob Selection Method, Sample, and Statistical Analysis at $z\sim3.1$
Byeongha Moon, Yujin Yang, Kyoung-Soo Lee, Eric Gawiser, Arjun Dey, Francisco Valdes, Dustin Lang, Robin Ciardullo, Caryl Gronwall, Ann Zabludoff, Vandana Ramakrishnan, Nicole M. Firestone, Ethan Pinarski, Seok-jun Chang, Lucia Guaita, Sungryong Hong, Ho Seong Hwang

TL;DR
This paper introduces a novel selection method for Ly$ ext{α}$ blobs (LABs) using the ODIN survey, significantly expanding the sample size and enabling statistical analysis of their properties and environmental dependence.
Contribution
The paper presents a new LAB selection pipeline that captures low-surface-brightness LABs missed by traditional methods, and provides the first large, statistically significant sample from the ODIN survey.
Findings
Number density of LABs near protoclusters is high and environment-dependent.
The new method detects additional low-surface-brightness LABs.
LAB luminosity functions vary with environment.
Abstract
Ly blobs (LABs) are large, spatially extended Ly-emitting objects whose nature remains unclear. Their statistical properties such as number densities and luminosity functions are still uncertain because of small sample sizes and large cosmic variance. The One-hundred-deg DECam Imaging in Narrowbands (ODIN) survey, with its large volume, offers an opportunity to overcome these limitations. We describe our LAB selection method and present 112 new LABs in the 9 deg E-COSMOS field. We begin with the conventional LAB selection approach, cross-matching LAEs with extended Ly sources, yielding 89 LAB candidates. To obtain a more complete LAB sample, we introduce a new selection pipeline that models all galaxies detected in deep broadband imaging, subtracts them from the narrowband image, and then directly detects extended Ly emission. This method…
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Taxonomy
TopicsGalaxies: Formation, Evolution, Phenomena · Astronomy and Astrophysical Research · Electrical and Electromagnetic Research
