A numerical study of stellar discs in galactic nuclei

(2022)

Authors:

Taras Panamarev, Bence Kocsis

Merger rates of intermediate-mass black hole binaries in nuclear star clusters

Astrophysical Journal American Astronomical Society 933:2 (2022) 170

Authors:

Giacomo Fragione, Abraham Loeb, Bence Kocsis, Frederic A Rasio

Abstract:

Repeated mergers of stellar-mass black holes in dense star clusters can produce intermediate-mass black holes (IMBHs). In particular, nuclear star clusters at the centers of galaxies have deep enough potential wells to retain most of the black hole (BH) merger products, in spite of the significant recoil kicks due to anisotropic emission of gravitational radiation. These events can be detected in gravitational waves, which represent an unprecedented opportunity to reveal IMBHs. In this paper, we analyze the statistical results of a wide range of numerical simulations, which encompass different cluster metallicities, initial BH seed masses, and initial BH spins, and we compute the merger rate of IMBH binaries. We find that merger rates are in the range 0.01–10 Gpc−3 yr−1 depending on IMBH masses. We also compute the number of multiband detections in ground-based and space-based observatories. Our model predicts that a few merger events per year should be detectable with LISA, DECIGO, Einstein Telescope (ET), and LIGO for IMBHs with masses ≲1000 M, and a few tens of merger events per year with DECIGO, ET, and LIGO only.

Impact of radiation feedback on the formation of globular cluster candidates during cloud-cloud collisions

(2022)

Authors:

Daniel Han, Taysun Kimm, Harley Katz, Julien Devriendt, Adrianne Slyz

The challenges of identifying Population III stars in the early universe

(2022)

Authors:

Harley Katz, Taysun Kimm, Richard S Ellis, Julien Devriendt, Adrianne Slyz

A compressed sensing faraday depth reconstruction framework for the MeerKAT MIGHTEE-POL Survey

Proceedings of the 3rd URSI Atlantic and Asia Pacific Radio Science Meeting (AT-AP-RASC 2022) IEEE (2022) 1-4

Authors:

M Carcamo, A Scaife, R Taylor, M Jarvis, M Bowles, S Sekhar, L Heino, J Stil

Abstract:

In this work we present a novel compute framework for reconstructing Faraday depth signals from noisy and incomplete spectro-polarimetric radio datasets. This framework is based on a compressed-sensing approach that addresses a number of outstanding issues in Faraday depth reconstruction in a systematic and scaleable manner. We apply this framework to early-release data from the MeerKAT MIGHTEE polarisation survey.