Star formation in evolving molecular clouds
M. V\"olschow, R. Banerjee, B. K\"ortgen

TL;DR
This paper introduces a semi-analytical model for molecular cloud evolution that integrates astrophysical principles and recent simulation data, effectively capturing key processes like accretion, collapse, star formation, and feedback with lower computational costs.
Contribution
It presents a novel self-consistent semi-analytical framework that models molecular cloud evolution and star formation, incorporating feedback effects and aligning well with observations.
Findings
Model agrees with a broad range of observational data.
Evolution driven by interplay of accretion, collapse, star formation, feedback.
Lower computational cost compared to hydrodynamical simulations.
Abstract
Molecular clouds are the principle stellar nurseries of our universe, keeping them in the focus of both observational and theoretical studies. From observations, some of the key properties of molecular clouds are well known but many questions regarding their evolution and star formation activity remain open. While numerical simulations feature a large number and complexity of involved physical processes, this plenty of effects may hide the fundamentals that determine the evolution of molecular clouds and enable the formation of stars. Purely analytical models, on the other hand, tend to suffer from rough approximations or a lack of completeness, limiting their predictive power. In this paper, we present a model that incorporates central concepts of astrophysics as well as reliable results from recent simulations of molecular clouds and their evolutionary paths. Based on that, we…
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