Determining the Age of Young Embedded Clusters

TL;DR

This paper introduces a Monte Carlo method to determine the ages of young embedded clusters using photometric data, effectively handling differential reddening and matching spectrophotometric results.

Contribution

A novel Monte Carlo approach for estimating ages of embedded clusters from photometry, accounting for reddening and background contamination.

Findings

Method yields age estimates consistent with spectrophotometric techniques.

Applicable to clusters with strong differential reddening.

Provides a photometry-based alternative when spectroscopic data is unavailable.

Abstract

A new Monte Carlo method has been developed in order to derive ages of young embedded clusters within massive star forming regions where there is strong differential reddening. After foreground and infrared excess source candidates are removed, each cluster candidate star is individually dereddened. Simulated clusters are constructed using isochrones, an IMF, realistic photometric errors, simulated background field populations and extinction distributions. These synthetic clusters are then dereddened in the same way as the real data, obtained from a deep near infrared survey, and used to derive the ages of 3 embedded clusters. Results were found to be consistent with those determined using spectrophotometric methods. This new method provides way to determine the ages of embedded clusters when only photometric data are available and there is strong differential reddening.