# Interpreting the Star Formation Efficiency of Molecular Clouds with   Ionising Feedback

**Authors:** Sam Geen, Juan D Soler, Patrick Hennebelle

arXiv: 1703.10071 · 2017-09-06

## TL;DR

This study uses advanced simulations to explore how ionising feedback influences star formation efficiencies in molecular clouds, revealing that feedback can explain observed efficiencies and highlighting the complexity of converting observed data to total efficiencies.

## Contribution

The paper introduces radiative magnetohydrodynamic simulations incorporating ionising radiation to better understand star formation efficiencies in molecular clouds, aligning simulations with observations.

## Key findings

- Simulated diffuse clouds match observed star-forming clouds.
- Ionising radiation reproduces observed SFEs in Milky Way-like clouds.
- Observed SFEs are 3 to 10 times larger than total SFEs.

## Abstract

We investigate the origin of observed local star formation relations using radiative magnetohydrodynamic simulations with self-consistent star formation and ionising radiation. We compare these clouds to the density distributions of local star-forming clouds and find that the most diffuse simulated clouds match the observed clouds relatively well. We then compute both observationally-motivated and theoretically-motivated star formation efficiencies (SFEs) for these simulated clouds. By including ionising radiation, we can reproduce the observed SFEs in the clouds most similar to nearby Milky Way clouds. For denser clouds, the SFE can approach unity. These observed SFEs are typically 3 to 10 times larger than the "total" SFEs, i.e. the fraction of the initial cloud mass converted to stars. Converting observed to total SFEs is non-trivial. We suggest some techniques for doing so, though estimate up to a factor of ten error in the conversion.

## Full text

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## Figures

9 figures with captions in the complete paper: https://tomesphere.com/paper/1703.10071/full.md

## References

73 references — full list in the complete paper: https://tomesphere.com/paper/1703.10071/full.md

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Source: https://tomesphere.com/paper/1703.10071