Akademik Veri Yönetim Sistemi
Advances in Space Research, 2025 (SCI-Expanded, Scopus)
Young stellar objects (YSOs) are commonly classified based on their infrared spectral energy distributions (SEDs), but the reliability of large-scale photometric classification remains affected by extinction, sample contamination, and distance uncertainties. In this study, we compile a physically validated catalog of 17854 YSOs from 105 literature sources, spanning all major evolutionary stages. For 16472 sources with sufficient multi-band photometry, we determine the infrared spectral index (Formula presented) via a simple log–log regression of the 2–24 μm SED. While this method does not involve physical model fitting, it provides an efficient statistical tool to distinguish between Class 0/I, Flat Spectrum, Class II, and Class III sources. We assess and quantify the impact of line-of-sight extinction using the Bayestar19 3D dust map and derive (Formula presented) values for the full sample. Although most sources have (Formula presented) mag, we identify a subset with significant extinction that may bias (Formula presented) -based classifications. A weak but statistically significant correlation ((Formula presented) ) is found between (Formula presented) and (Formula presented), suggesting that extinction may systematically alter the observed slope of the infrared SED. Using mid-infrared WISE and near-infrared 2MASS photometry, calibrated with Gaia-based distances, we construct absolute color–magnitude and color–color diagrams that show clear evolutionary separability. We also derive an empirical relation to estimate (Formula presented) from infrared colors alone, achieving a strong correlation ((Formula presented) ). This relation enables classification of 956 additional sources lacking full SED coverage. Our framework provides a reliable method for photometric classification of YSOs in large infrared surveys, with explicit consideration of extinction effects.