Document detail
ID

oai:arXiv.org:2410.19904

Topic
Astrophysics - High Energy Astroph... General Relativity and Quantum Cos...
Author
Gilbaum, Shmuel Grishin, Evgeni Stone, Nicholas C. Mandel, Ilya
Category

sciences: astrophysics

Year

2024

listing date

10/30/2024

Keywords
bhs
Metrics

Abstract

Stellar-mass black holes (BHs) embedded in active galactic nuclei (AGN) may be major sources of astrophysical gravitational waves (GWs), contributing both to the observed LIGO-Virgo-KAGRA population of binary BH mergers and to future populations of LISA-band extreme mass ratio inspirals (EMRIs).

The ability of these BHs to pair up into binaries, inspiral, and produce GWs will be shaped by the existence of migration traps, regions in the AGN where hydrodynamic torques vanish.

Previous works have studied the existence and location of migration traps in AGN disks.

Here, we investigate how individual BHs may escape such traps as an outcome of mergers, potentially suppressing hierarchical growth.

We find that while GW recoil kicks are strong enough to kick merged BHs onto inclined orbits, gas drag quickly realigns them into the AGN disk.

A more robust escape mechanism is gap opening: once a BH grows above a critical mass, its gravity disturbs the AGN gas sufficiently to eliminate the trap.

In low-mass AGN relevant for LISA, gaps open easily and the resulting ``wet EMRI'' masses are unlikely to reflect protracted hierarchical mergers.

In combination with our previous work, we find that migration traps only exist in a relatively narrow range of AGN luminosities between [10^{43.5},10^{45.5}] erg/s.

We identify an even narrower AGN luminosity range for which stellar mass BHs can grow into the pair instability mass gap and beyond.

This characteristic luminosity scale may assist in indirect tests of the ``AGN channel'' for binary BH mergers.

;Comment: "8 pages, 4 figures in main text.

Comments welcome!

Gilbaum, Shmuel,Grishin, Evgeni,Stone, Nicholas C.,Mandel, Ilya, 2024, How to Escape from a Trap: Outcomes of Repeated Black Hole Mergers in AGN

Document

Open

Share

Source

Articles recommended by ES/IODE AI

Bone metastasis prediction in non-small-cell lung cancer: primary CT-based radiomics signature and clinical feature
non-small-cell lung cancer bone metastasis radiomics risk factor predict cohort model cect cancer prediction 0 metastasis radiomics clinical