Explaining the stellar initial mass function with the theory of spatial networks
Andrei Klishin, Igor Chilingarian

TL;DR
This paper introduces a novel network science-based model for the stellar initial mass function, explaining its power-law shape through fractal properties of the interstellar medium and core accretion dynamics.
Contribution
It presents a new theoretical framework combining network growth and turbulence theory to predict the stellar initial mass function without relying on empirical fluctuation spectra.
Findings
Reproduces observed IMF over three decades in mass
Predicts power-law core mass function from fractal ISM properties
Rules out bottom-heavy IMF in single star-forming regions
Abstract
The distributions of stars and prestellar cores by mass (initial and dense core mass functions, IMF/DCMF) are among the key factors regulating star formation and are the subject of detailed theoretical and observational studies. Results from numerical simulations of star formation qualitatively resemble an observed mass function, a scale-free power law with a sharp decline at low masses. However, most analytic IMF theories critically depend on the empirically chosen input spectrum of mass fluctuations which evolve into dense cores and, subsequently, stars, and on the scaling relation between the amplitude and mass of a fluctuation. Here we propose a new approach exploiting the techniques from the field of network science. We represent a system of dense cores accreting gas from the surrounding diffuse interstellar medium (ISM) as a spatial network growing by preferential attachment and…
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