Assessing the accuracy of the star formation rate measurements by direct star count in molecular clouds
Sami Dib, Jian Wen Zhou, S\'ebastien Comer\'on, Luis E. Gardu\~no,, Valery V. Kravtsov, Paul C. Clark, Guang-Xing Li, Maritza A. Lara-L\'opez,, Tie Liu, Mohsen Shadmehri, James R. Doughty

TL;DR
This study uses Monte Carlo models to evaluate the accuracy of star formation rate measurements based on young stellar object counts, revealing that only Class 0 protostars reliably indicate true SFR across different star formation histories.
Contribution
It introduces a simulation-based assessment of YSO count methods, highlighting the reliability of Class 0 counts and proposing a way to constrain SFH from protostellar class ratios.
Findings
Class 0 counts reliably reproduce true SFR at all epochs.
Evolved protostar counts only match true SFR at steady state in constant SFH.
Ratios of protostellar classes can constrain the star formation history.
Abstract
Star formation estimates based on the counting of YSOs is commonly applied to nearby star-forming regions in the Galaxy. With this method, the SFRs are measured using the counts of YSOs in a particular protostellar Class, a typical protostellar mass, and the lifetime associated with this Class. However, the assumptions underlying the validity of the method such as that of a constant star formation history (SFH) and whether the method is valid for all protostellar Classes has never been fully tested. In this work, we use Monte Carlo models to test the validity of the method. We build synthetic clusters in which stars form at times that are randomly drawn from a specified SFH. The latter is either constant or time-dependent with a burst like behavior. The masses of the protostars are randomly drawn from an IMF which can be either similar to that of the Milky Way field or be variable . For…
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Taxonomy
TopicsAstrophysics and Star Formation Studies · Molecular Spectroscopy and Structure · Astro and Planetary Science
