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

Autor: Jeremy Sakstein, Eric J. Baxter, Samuel D. McDermott, Djuna Croon
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Cosmology and Nongalactic Astrophysics (astro-ph.CO)
Astrophysics::High Energy Astrophysical Phenomena
Population
FOS: Physical sciences
Astrophysics
General Relativity and Quantum Cosmology (gr-qc)
General Relativity and Quantum Cosmology
High Energy Physics - Phenomenology (hep-ph)
Stellar structure
education
Instrumentation and Methods for Astrophysics (astro-ph.IM)
Solar and Stellar Astrophysics (astro-ph.SR)
Physics
education.field_of_study
Star formation
Astronomy and Astrophysics
Function (mathematics)
Black hole
High Energy Physics - Phenomenology
Astrophysics - Solar and Stellar Astrophysics
Space and Planetary Science
Pair-instability supernova
Astrophysics - Instrumentation and Methods for Astrophysics
Event (particle physics)
Mass gap
Astrophysics - Cosmology and Nongalactic Astrophysics
Zdroj: The Astrophysical Journal Letters, 2021, Vol.916(2), pp.L16 [Peer Reviewed Journal]
Popis: 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
Databáze: OpenAIRE