Pith. sign in

REVIEW 2 cited by

Binary black hole mergers: large kicks for generic spin orientations

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv gr-qc/0703075 v1 pith:BA57OC65 submitted 2007-03-13 gr-qc astro-ph

classification gr-qcastro-ph
keywords spinblackorientationsfindgenericholeinitialkick
verification ladder T0 review T1 audit T2 compute T3 formal
0 comments
abstract

We present results from several simulations of equal mass black holes with spin. The spin magnitudes are $S/m^2=0.8$ in all cases, but we vary the spin orientations arbitrarily, in and outside the orbital plane. We find that in all but one case the final merged black hole acquires a kick of more than 1000 km/s, indicating that kicks of this magnitude are likely to be generic and should be expected for mergers with general spin orientations. The maximum kick velocity we find is 2500 km/s and occurs for initial spins which are anti-aligned in the initial orbital plane.

Discussion (0). Sign in to comment.

Forward citations

Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Unified remnant models for aligned-spin, precessing, and eccentric binary black hole mergers

    gr-qc 2026-08 conditional novelty 6.0 of 10

    New analytic fits, gwModelRemS/P, predict remnant mass, spin, luminosity, and kick for black hole mergers from equal mass to q=1000, with a neural-flow model for precessing kicks.

  2. Accurate models for recoil velocity distribution in black hole mergers with comparable to extreme mass-ratios and their astrophysical implications

    gr-qc 2025-11 conditional novelty 6.0 of 10

    New analytic, GPR, and normalizing-flow kick models for black-hole mergers trained from q=1 to q≈200, with cluster-retention consequences.

Pith tools