Unraveling the Spectral Energy Distributions of Clustered YSOs
Juan R. Mart\'inez-Galarza, Pavlos Protopapas, Howard A. Smith, and, Esteban F. E. Morales

TL;DR
This paper introduces a novel method combining genetic algorithms and Bayesian inference to disentangle blended spectral energy distributions of young stellar objects in clusters, enabling better understanding of star formation and initial mass functions.
Contribution
The study presents a new technique for fitting blended SEDs of YSOs, allowing detailed analysis of cluster properties and implications for star formation models.
Findings
The correlation between cluster mass and most massive star supports a universal IMF.
Results align with models predicting late-stage accretion termination for massive stars.
Derived properties suggest a high-mass limit of 150 solar masses for the IMF.
Abstract
Stars form in clustered environments, but how they form when the available resources are shared is still not well understood. A related question is whether the IMF is in fact universal across galactic environments, a galactic initial mass function (IGIMF), or whether it is an average of local IMFs. One of the long-standing problems in resolving this question and in the study of young clusters is observational: the emission from multiple sources is frequently seen as blended because at different wavelengths or with different telescopes the beam sizes are different. The confusion hinders our ability to fully characterize clustered star formation. Here we present a new method that uses a genetic algorithm and Bayesian inference to fit the blended SEDs and images of individual YSOs in confused clusters. We apply this method to the infrared photometry of a sample comprising 70…
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