Decoding the Star-Forming Main Sequence or: How I Learned to Stop Worrying and Love the Central Limit Theorem
Daniel D. Kelson (1) ((1) The Observatories of the Carnegie, Institution for Science)

TL;DR
This paper demonstrates that the observed tight correlation in star formation rates of disk galaxies, known as the star-forming main sequence, can be explained as a consequence of the central limit theorem applied to stochastic stellar mass growth processes.
Contribution
It introduces a probabilistic framework based on the central limit theorem to explain the properties and evolution of the star-forming main sequence, including its scatter and independence from mass.
Findings
The star-forming main sequence's properties match observations up to redshift 10.
The framework reproduces the scatter in SSFR and galaxy star formation histories.
Implications for galaxy classification and evolutionary connection are discussed.
Abstract
Star-formation rates (SFR) of disk galaxies strongly correlate with stellar mass, with a small dispersion in SSFR at fixed mass, sigma~0.3 dex. With such small scatter this star-formation main sequence (SFMS) has been interpreted as deterministic and fundamental. Here we demonstrate that it is a simple consequence of the central limit theorem. Our derivation begins by approximating in situ stellar mass growth as a stochastic process, much like a random walk (where the expectation of SFR at any time is equal to the SFR at the previous time). We then derive expectation values for median SSFR of star-forming disks and their scatter over time. We generalize the results for stochastic changes in SFR that are not independent of each other but are correlated over time. For unbiased samples of (disk) galaxies, we derive an expectation that <SSFR> should be independent of mass, decline as 1/T,…
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Taxonomy
TopicsGalaxies: Formation, Evolution, Phenomena
