Hunting Galaxies to (and for) Extinction
Jonathan B. Foster, Carlos Rom\'an-Z\'u\~niga, Alyssa A. Goodman,, Elizabeth Lada, Jo\~ao Alves

TL;DR
This paper develops a method to distinguish galaxies from young stars in near-infrared data, improving extinction mapping of molecular clouds by incorporating galaxies as additional signals.
Contribution
It introduces GNICER, a novel iterative technique that uses galaxy colors and structural data to enhance extinction maps and reduce contamination in star-forming region studies.
Findings
Galaxies can be effectively identified using structural and color information.
GNICER improves extinction map resolution by increasing background source counts.
The method reduces galaxy contamination in YSO candidate selection.
Abstract
In studies of star-forming regions, near-infrared excess (NIRX) sources--objects with intrinsic colors redder than normal stars--constitute both signal (young stars) and noise (e.g. background galaxies). We hunt down (identify) galaxies using near-infrared observations in the Perseus star-forming region by combining structural information, colors, and number density estimates. Galaxies at moderate redshifts (z = 0.1 - 0.5) have colors similar to young stellar objects (YSOs) at both near- and mid-infrared (e.g. Spitzer) wavelengths, which limits our ability to identify YSOs from colors alone. Structural information from high-quality near-infrared observations allows us to better separate YSOs from galaxies, rejecting 2/5 of the YSO candidates identified from Spitzer observations of our regions and potentially extending the YSO luminosity function below K of 15 magnitudes where galaxy…
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