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A Review of Gravitational Memory and BMS Frame Fixing in Numerical Relativity

7 Pith papers cite this work. Polarity classification is still indexing.

7 Pith papers citing it
abstract

Gravitational memory effects and the BMS freedoms exhibited at future null infinity have recently been resolved and utilized in numerical relativity simulations. With this, gravitational wave models and our understanding of the fundamental nature of general relativity have been vastly improved. In this paper, we review the history and intuition behind memory effects and BMS symmetries, how they manifest in gravitational waves, and how controlling the infinite number of BMS freedoms of numerical relativity simulations can crucially improve the waveform models that are used by gravitational wave detectors. We reiterate the fact that, with memory effects and BMS symmetries, not only can these next-generation numerical waveforms be used to observe never-before-seen physics, but they can also be used to test GR and learn new astrophysical information about our universe.

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fields

gr-qc 6 hep-th 1

years

2026 6 2024 1

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representative citing papers

Gravitational Memory from Hairy Binary Black Hole Mergers

gr-qc · 2026-04-10 · unverdicted · novelty 8.0

Gravitational memory from hairy binary black hole mergers in scalar-Gauss-Bonnet gravity differs from GR by a few percent due to altered nonlinear dynamics, with direct scalar contributions suppressed, and including memory increases GR-sGB mismatch by more than an order of magnitude.

Toward claiming a detection of gravitational memory

gr-qc · 2026-01-30 · unverdicted · novelty 6.0

A framework using scale separation in the Isaacson description defines observable gravitational memory rise for compact binary coalescences, providing a basis for hypothesis testing in LISA data.

Constraining Gravitational Wave Memory with Hierarchical Inference

gr-qc · 2026-05-26 · unverdicted · novelty 5.0

Hierarchical Bayesian inference on GWTC-5.0 constrains the memory enhancement factor to 0.26 with large uncertainties consistent with the GR value of 1 and forecasts that 2000 detections are needed for a 1σ constraint away from zero.

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Showing 7 of 7 citing papers.