Populations of Young Stellar Objects in Nearby Molecular Clouds
Tien-Hao Hsieh, Shih-Ping Lai

TL;DR
This paper introduces a multi-dimensional photometric method to identify young stellar objects in molecular clouds, improving completeness and providing new insights into star formation rates and evolutionary stages.
Contribution
A novel multi-dimensional magnitude space technique for YSO identification that enhances detection completeness over traditional color-based methods.
Findings
Identified 322 new YSO candidates in five clouds.
Star formation rate increased by 28% with new method.
Supports turbulence-dominated star formation theories.
Abstract
We develop a new method to identify YSOs from star-forming regions using the photometry data from Spitzer's c2d Legacy Project. The aim is to obtain YSO lists as complete as possible for studying the statistical properties, such as Star Formation Rate (SFR) and lifetimes of YSOs in different evolutionary stages. The largest obstacle for identifying YSOs comes from background galaxies with similar SEDs to YSOs. Traditionally, selected color-color and color-magnitude criteria are used to separate YSOs and galaxies. However, since there is no obvious boundary between YSOs and galaxies in Color-Color Diagrams (CCDs) and Color-Magnitude Diagrams (CMDs), those criteria may exclude faint YSOs near the boundary. In this paper, we separate the YSOs and galaxies in multi-dimensional (Multi-D) magnitude space, which is equivalent to using all variations of CMDs simultaneously. Comparing sources…
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