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Waveform systematics in gravitational-wave inference of signals from binary neutron star merger models incorporating higher order modes information

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arxiv 2404.16599 v1 pith:J7HLBVNT submitted 2024-04-25 gr-qc

Waveform systematics in gravitational-wave inference of signals from binary neutron star merger models incorporating higher order modes information

classification gr-qc
keywords modelsdifferencesneutronsignalswaveformaccurateavailablebinary
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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Accurate information from gravitational wave signals from coalescing binary neutron stars provides essential input to downstream interpretations, including inference of the neutron star population and equation of state. However, even adopting the currently most accurate and physically motivated models available for parameter estimation (PE) of BNSs, these models remain subject to waveform modeling uncertainty: differences between these models may introduce biases in recovered source properties. In this work, we describe injection studies investigating these systematic differences between the two best waveform models available for BNS currently, NRHybSur3dq8Tidal and TEOBResumS. We demonstrate that for BNS sources observable by current second-generation detectors, differences for low-amplitude signals are significant for certain sources.

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Forward citations

Cited by 3 Pith papers

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

  1. Assessing the waveform systematics from parameter estimation to population inference with eccentricity

    astro-ph.HE 2026-07 conditional novelty 6.0

    Eccentric waveform-model differences, small per event, accumulate across the GWTC-4 catalog and alter inferred redshift evolution and effective-spin population distributions.

  2. Accelerated Sequential Posterior Inference via Reuse for Gravitational-Wave Analyses

    hep-ex 2025-11 conditional novelty 6.0

    ASPIRE reuses old posterior samples via normalizing flows and sequential Monte Carlo to produce unbiased posteriors and evidences under new models, cutting likelihood evaluations 4-10x.

  3. Agnostically decoding gravitational wave model deficiencies in GWTC-3

    gr-qc 2026-04 unverdicted novelty 5.0

    No evidence for a mass-scale dependent model deficiency is found in the highest-SNR GWTC-3 events.