REVIEW 16 cited by
Ready for what lies ahead? -- Gravitational waveform accuracy requirements for future ground based detectors
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
read the original abstract
Future third generation (3G) ground-based GW detectors, such as the Einstein Telescope and Cosmic Explorer, will have unprecedented sensitivities enabling studies of the entire population of stellar mass binary black hole coalescences in the Universe. To infer binary parameters from a GW signal we require accurate models of the gravitational waveform as a function of black hole masses, spins, etc. Such waveform models are built from numerical relativity (NR) simulations and/or semi-analytical expressions in the inspiral. We investigate the limits of the current waveform models and study at what detector sensitivity these models will yield unbiased parameter inference for loud ''golden'' binary black hole systems, what biases we can expect beyond these limits, and what implications such biases will have for GW astrophysics. For 3G detectors we find that the mismatch error for semi-analytical models needs to be reduced by at least \emph{three orders of magnitude} and for NR waveforms by \emph{one order of magnitude}. In addition, we show that for a population of one hundred high mass precessing binary black holes, measurement errors sum up to a sizable population bias, about 10 -- 30 times larger than the sum of 90\% credible intervals for key astrophysical parameters. Furthermore we demonstrate that the residual signal between the GW data recorded by a detector and the best fit template waveform obtained by parameter inference analyses can have significant SNR ratio. This coherent power left in the residual could lead to the observation of erroneous deviations from general relativity. To address these issues and be ready to reap the scientific benefits of 3G GW detectors in the 2030s, waveform models that are significantly more physically complete and accurate need to be developed in the next decade along with major advances in efficiency and accuracy of NR codes.
Forward citations
Cited by 16 Pith papers
-
Multiband parameter estimation with phase coherence and extrinsic marginalization: Extracting more information from low-SNR CBC signals in LISA data
A coherent multiband Bayesian parameter estimation method with extrinsic-parameter marginalization extracts useful information from LISA observations of stellar-mass binary black holes down to LISA SNR 3, nearly doubl...
-
High-Post-Newtonian-Order Dynamics Induced by Tail-of-Tail Interactions: The Non-Geodesic Terms
The authors compute tail-of-tail contributions to the effective-one-body Q potential through p_r^12 and derive new second-order self-force redshift predictions for eccentric binaries.
-
Kerr Soft Dressing and the $w_{1+\infty}$ Frame Algebra at Null Infinity
The Kerr soft exponent generates a parity-alternating hierarchy of null-infinity frame generators—displacement memory at s=0, spin memory at s=1, and higher moments alternating by Kerr multipole parity—realized as the...
-
Generalized Unitarity Method for Worldline Field Theory
Worldline gravitational observables can be bootstrapped from locality, unitarity, gauge invariance, and a soft theorem once worldline energies are complexified, reproducing the known O(G^5/2) waveform and O(G^3) on-sh...
-
Post-adiabatic dynamics and waveform generation in self-force theory: an invariant pseudo-Hamiltonian framework
A pseudo-Hamiltonian reformulation of 1PA self-force dynamics yields local, invariant action-angle evolution equations and an embedded conservative Hamiltonian whose on-shell energy equals the first-law binding energy.
-
Hierarchical Subtraction with Neural Density Estimators as a General Solution to Overlapping Gravitational Wave Signals
The paper introduces an iterative, ensemble-based hierarchical subtraction scheme powered by neural density estimators that recovers overlapping gravitational wave signals accurately and fast.
-
Gravitational Bremsstrahlung in Black-Hole Scattering at $\mathcal{O}(G^3)$: Quadratic-in-Spin Effects
First computation of the O(G^3 S^2) momentum-space gravitational waveform for two scattering spinning black holes, plus the leading three-body spinning waveform.
-
First Look at Quartic-in-Spin Binary Dynamics at Third Post-Minkowskian Order
The O(G^3) conservative and radiation-reaction classical observables for spinning black-hole scattering are extended to quartic order in spin, with all-order-in-spin radiation reaction beyond the aligned-spin limit.
-
Fast, accurate, and differentiable: a neural-network surrogate for NRSur7dq4 precessing binary black hole waveforms
A piecewise MLP surrogate emulates NRSur7dq4 over its full domain at NR-faithful accuracy with ~1 ms GPU latency and a fully differentiable JAX likelihood pipeline.
-
Impact of numerical-relativity waveform calibration on parametrized post-Einsteinian tests
NR late-inspiral calibration systematics in IMRPhenomD produce false ppE GR violations at O5 SNRs ≳60; an uncertainty-aware baseline restores consistency with GR up to SNR 330.
-
A comprehensive look into the accuracy of SpEC binary black hole waveforms
Simulated black-hole merger waveforms accumulate numerical error over time, but the merger stage is not intrinsically less accurate once aligned on its own, and resolution-exchanged differences show no systematic bias...
-
Compressive Meta-Learning
Meta-learned neural encoders and decoders for compressive learning aim to make parameter estimation from compact database sketches faster and more accurate than randomized, data-independent compressive learning.
-
The fault in our sirens: Hierarchical diagnosis of waveform systematics in Hubble-Lema\^itre constant measurements
A 5% subpopulation of high-mass, spin-precessing black hole binaries, poorly modeled by current waveforms, makes future dark-siren Hubble constant measurements unreliable, and a hierarchical variance diagnostic can de...
-
Improved post-Newtonian waveform model for inspiralling precessing-eccentric compact binaries
The paper presents pyEFPE, a validated and publicly available frequency-domain post-Newtonian waveform model for inspiralling precessing-eccentric compact binaries, with up to about a fifteen-fold speedup.
-
Inspiral tests of general relativity and waveform geometry
The power of ppE-style GR tests comes from waveform geometry: GR parameter biases absorb most of any smooth phase deviation, and SVD finds the few orthogonal directions that remain.
-
On the use and interpretation of signal-model indistinguishability measures for gravitational-wave astronomy
Using mismatch distances computed at best-fit parameters, per parameter, the paper predicts accurate bias SNRs for aligned-spin binary black hole measurements and derives waveform accuracy requirements for next-genera...
Discussion (0). Continue with ORCID to comment.