paper

Find the Gap: Black Hole Population Analysis with an Astrophysically Motivated Mass Function

arXiv:2104.02685 · doi:10.3847/2041-8213/ac11fc

Abstract

We introduce a novel black hole mass function which realistically models the physics of star formation and pair instability supernova with a minimal number of parameters. Applying this to all events in the LIGO-Virgo GWTC-2 catalog, we detect a peak at M_BHMG = 74.8^{+4.3}_{-8.0} MS, followed by a break in the mass function. Repeating the analysis without the black holes from the event GW190521, we find this feature at M_BHMG = 55.4^{+3.0}_{-6.1} MS. The latter result establishes the edge of the anticipated "black hole mass gap" at a value compatible with the expectation from standard stellar structure theory, while the former result is ~ 20MS higher, which would have far-reaching implications if confirmed. Using Bayesian techniques, we establish that our mass function fits a new catalog of black hole masses approximately as well as the pre-existing phenomenological mass functions. We also remark on the implications of these results for constraining or discovering new phenomena in nuclear and particle physics.

6+7 pages; v2: updated analysis with increased evidence and changes to parameter values when applying our model to full dataset, matches version accepted in ApJL

References in corpus (25)

Cited by in corpus (31)