Protostellar Feedback in Turbulent Fragmentation: Consequences for Stellar Clustering and Multiplicity
David Guszejnov, Philip F. Hopkins, Mark. R. Krumholz

TL;DR
This paper introduces a semi-analytic model called MISFIT to study how protostellar feedback influences stellar clustering and multiplicity, successfully reproducing observed properties and highlighting the importance of feedback in star formation.
Contribution
The paper presents the MISFIT framework that models gravito-turbulent fragmentation with feedback, providing new insights into stellar clustering and multiplicity.
Findings
Models with feedback match observed multiplicity fractions.
Power-law correlation function on large scales from turbulence and gravity.
Feedback influences the formation of close binaries via disk fragmentation.
Abstract
Stars are strongly clustered on both large (~pc) and small (~binary) scales, but there are few analytic or even semi-analytic theories for the correlation function and multiplicity of stars. In this paper we present such a theory, based on our recently-developed semi-analytic framework called MISFIT, which models gravito-turbulent fragmentation, including the suppression of fragmentation by protostellar radiation feedback. We compare the results including feedback to a control model in which it is omitted. We show that both classes of models robustly reproduce the stellar correlation function at >0.01 pc scales, which is well approximated by a power-law that follows generally from scale-free physics (turbulence plus gravity) on large scales. On smaller scales protostellar disk fragmentation becomes dominant over common core fragmentation, leading to a steepening of the correlation…
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