Mathematical Analysis and Analytical Characterization of Mass-Ratio-Dependent Gravitational Recoil and Remnant Diagnostics in Binary Black-Hole Mergers

This study presents a unified mathematical assessment of binary black-hole dynamics, gravitational-wave diagnostics, and recoil predictions within the vacuum Einstein framework. The formulation connects the 3+1 initial-value decomposition, conformal and generalized harmonic evolution variables, horizon diagnostics, Newman–Penrose waveform extraction, and detector-weighted waveform comparison. Quantitative evaluation combines previously reported remnant and radiation measurements with deterministic calculations from a nonspinning phenomenological recoil relation. The equal-mass nonspinning benchmark gives a remnant mass fraction of 0.95162 ± 0.00002 and dimensionless spin of 0.68646 ± 0.00004. The adopted recoil fit reaches approximately 175.2 km s⁻¹ near mass ratio q ≈ 0.36 and vanishes at equal masses, consistently with exchange symmetry. Published dominant quadrupolar energy fractions exceed 98% for equal-mass nonspinning coalescence and are approximately 68% in the extreme-mass-ratio regime. Analytical differentiation and limiting expansions characterize the fitted recoil response. The assessment establishes a consistent interpretation of heterogeneous benchmark quantities while distinguishing analytical model evaluation from independent numerical-relativity simulation. No new spacetime evolutions, detector reconstructions, or waveform-convergence measurements are claimed.

Authors

Institutions

Publication Details

Journal
FUDMA Journal of Sciences
Published
2026-10-26
DOI
https://doi.org/10.33003/fjs-2026-1022-6322
Primary Topic
Pulsars and Gravitational Waves Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Mathematical Analysis and Analytical Characterization of Mass-Ratio-Dependent Gravitational Recoil and Remnant Diagnostics in Binary Black-Hole Mergers

Nasiru Mohammed, Onubedo Audu Abdulmalik, Mohammed Garba
FUDMA Journal of Sciences
Pulsars and Gravitational Waves Research
article

Mathematical Analysis and Analytical Characterization of Mass-Ratio-Dependent Gravitational Recoil and Remnant Diagnostics in Binary Black-Hole Mergers

Nasiru Mohammed, Onubedo Audu Abdulmalik, Mohammed Garba
article en

Abstract

This study presents a unified mathematical assessment of binary black-hole dynamics, gravitational-wave diagnostics, and recoil predictions within the vacuum Einstein framework. The formulation connects the 3+1 initial-value decomposition, conformal and generalized harmonic evolution variables, horizon diagnostics, Newman–Penrose waveform extraction, and detector-weighted waveform comparison. Quantitative evaluation combines previously reported remnant and radiation measurements with deterministic calculations from a nonspinning phenomenological recoil relation. The equal-mass nonspinning benchmark gives a remnant mass fraction of 0.95162 ± 0.00002 and dimensionless spin of 0.68646 ± 0.00004. The adopted recoil fit reaches approximately 175.2 km s⁻¹ near mass ratio q ≈ 0.36 and vanishes at equal masses, consistently with exchange symmetry. Published dominant quadrupolar energy fractions exceed 98% for equal-mass nonspinning coalescence and are approximately 68% in the extreme-mass-ratio regime. Analytical differentiation and limiting expansions characterize the fitted recoil response. The assessment establishes a consistent interpretation of heterogeneous benchmark quantities while distinguishing analytical model evaluation from independent numerical-relativity simulation. No new spacetime evolutions, detector reconstructions, or waveform-convergence measurements are claimed.

FUDMA Journal of SciencesVol. 10(22)
Sa'adu Zungur University (NG), Federal University of Education, Kontagora (NG)
Openalex Percentile: Top 14%
Pulsars and Gravitational Waves Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon