English

Massive Black Hole Mergers with Orbital Information: Predictions from the ASTRID Simulation

Astrophysics of Galaxies 2022-06-08 v1

Abstract

We examine massive black hole (MBH) mergers and their associated gravitational wave signals from the large-volume cosmological simulation Astrid. Astrid includes galaxy formation and black hole models recently updated with a MBH seed population between 3×104M/h3\times 10^4M_{\odot}/h and 3×105M/h3\times 10^5M_{\odot}/h and a sub-grid dynamical friction (DF) model to follow the MBH dynamics down to 1.5  ckpc/h1.5\;\text{ckpc}/h. We calculate initial eccentricities of MBH orbits directly from the simulation at kpc-scales, and find orbital eccentricities above 0.70.7 for most MBH pairs before the numerical merger. After approximating unresolved evolution on scales below 200pc{\sim 200\,\text{pc}}, we find that the in-simulation DF on large scales accounts for more than half of the total orbital decay time (500Myrs\sim 500\,\text{Myrs}) due to DF. The binary hardening time is an order of magnitude longer than the DF time, especially for the seed-mass binaries (MBH<2MseedM_\text{BH}<2M_\text{seed}). As a result, only 20%\lesssim20\% of seed MBH pairs merge at z>3z>3 after considering both unresolved DF evolution and binary hardening. These z>3z>3 seed-mass mergers are hosted in a biased population of galaxies with the highest stellar masses of >109M>10^9\,M_\odot. With the higher initial eccentricity prediction from Astrid, we estimate an expected merger rate of 0.30.70.3-0.7 per year from the z>3z>3 MBH population. This is a factor of 7\sim 7 higher than the prediction using the circular orbit assumption. The LISA events are expected at a similar rate, and comprise 60%\gtrsim 60\% seed-seed mergers, 30%\sim 30\% involving only one seed-mass MBH, and 10%\sim 10\% mergers of non-seed MBHs.

Keywords

Cite

@article{arxiv.2112.08555,
  title  = {Massive Black Hole Mergers with Orbital Information: Predictions from the ASTRID Simulation},
  author = {Nianyi Chen and Yueying Ni and A. Miguel Holgado and Tiziana Di Matteo and Michael Tremmel and Colin DeGraf and Simeon Bird and Rupert Croft and Yu Feng},
  journal= {arXiv preprint arXiv:2112.08555},
  year   = {2022}
}

Comments

17 pages, 13 Figures; comments are welcome