pith. sign in

arxiv: 0809.3844 · v2 · submitted 2008-09-23 · 🌀 gr-qc

Model Waveform Accuracy Standards for Gravitational Wave Data Analysis

classification 🌀 gr-qc
keywords modelwaveformsaccuracydatastandardsanalysisgravitationalproduced
0
0 comments X
read the original abstract

Model waveforms are used in gravitational wave data analysis to detect and then to measure the properties of a source by matching the model waveforms to the signal from a detector. This paper derives accuracy standards for model waveforms which are sufficient to ensure that these data analysis applications are capable of extracting the full scientific content of the data, but without demanding excessive accuracy that would place undue burdens on the model waveform simulation community. These accuracy standards are intended primarily for broad-band model waveforms produced by numerical simulations, but the standards are quite general and apply equally to such waveforms produced by analytical or hybrid analytical-numerical methods.

This paper has not been read by Pith yet.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Forward citations

Cited by 9 Pith papers

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

  1. Resonances as signatures of scalar clouds in eccentric extreme-mass-ratio inspirals

    gr-qc 2026-05 unverdicted novelty 7.0

    Eccentricity in EMRIs around scalar clouds produces relativistic resonances in scalar fluxes near the last stable orbit, leading to observable dephasing in gravitational waveforms.

  2. Novel ringdown tests of general relativity with black hole greybody factors

    gr-qc 2026-04 unverdicted novelty 7.0

    GreyRing model based on greybody factors reproduces numerical relativity ringdown signals with mismatches of order 10^{-6} and enables a new post-merger consistency test of general relativity applied to GW250114.

  3. Fast neural network surrogate for multimodal effective-one-body gravitational waveforms from generically precessing compact binaries

    gr-qc 2026-04 unverdicted novelty 6.0

    Neural network surrogate approximates precessing compact binary gravitational waveforms up to 1000x faster than the base EOB model with validated accuracy.

  4. Post-Newtonian inspiral waveform model for eccentric precessing binaries with higher-order modes and matter effects

    gr-qc 2026-04 unverdicted novelty 6.0

    pyEFPEHM extends prior PN models to include higher-order quasi-circular phasing, generalized precession solutions, and eccentric corrections up to 1PN in selected multipoles for eccentric precessing binaries with matt...

  5. Eccentric Stellar-mass Binary Black Holes: Population, Detectability, and Waveform Analysis in the LISA and LIGO Era

    astro-ph.HE 2026-05 unverdicted novelty 5.0

    Simulations of dynamically formed eccentric stellar-mass BBHs predict dozens of LISA-detectable sources in the Milky Way, hundreds of low-SNR extragalactic mHz sources, a merger rate of ~9 Gpc^{-3} yr^{-1}, and potent...

  6. Retrieving the True Masses of Gravitational-wave Sources

    astro-ph.HE 2019-06 unverdicted novelty 5.0

    Hydrodynamic drag makes BBH waveforms resemble higher-mass vacuum sources, biasing matched-filter chirp-mass estimates upward for LISA sources.

  7. Mitigating Systematic Errors in Parameter Estimation of Binary Black Hole Mergers in O1-O3 LIGO-Virgo Data

    astro-ph.HE 2026-04 unverdicted novelty 4.0

    Parametric models incorporating waveform phase and amplitude uncertainties mitigate systematic errors in gravitational wave parameter estimation, producing consistent results across models and raw/deglitched data for ...

  8. Mitigating Systematic Errors in Parameter Estimation of Binary Black Hole Mergers in O1-O3 LIGO-Virgo Data

    astro-ph.HE 2026-04 unverdicted novelty 4.0

    Reanalysis of flagged LVK events with waveform uncertainty models produces consistent spin and precession inferences across raw/deglitched data and multiple waveform approximants.

  9. The impact of waveform systematics and Gaussian noise on the interpretation of GW231123

    gr-qc 2026-01 accept novelty 4.0

    The high mass and high spin magnitudes inferred for GW231123 using NRSur7dq4 are robust to waveform systematics and Gaussian noise.