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Parameter Estimation with a spinning multi-mode waveform model: IMRPhenomHM

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arxiv 1909.10010 v2 pith:WNDDD5G2 submitted 2019-09-22 gr-qc

classification gr-qc
keywords imrphenomhmmodelmulti-modeparametersimrphenomdcasesmodeswaveform
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abstract

Gravitational waves from compact binary coalescence sources can be decomposed into spherical-harmonic multipoles, the dominant being the quadrupole ($\ell=2, m=\pm2$) modes. The contribution of sub-dominant modes towards total signal power increases with increasing binary mass ratio and source inclination to the detector. It is well-known that in these cases neglecting higher modes could lead to measurement biases, but these have not yet been quantified with a higher-mode model that includes spin effects. In this study, we use the multi-mode aligned-spin phenomenological waveform model IMRPhenomHM to investigate the effects of including multi-mode content in estimating source parameters and contrast the results with using a quadrupole-only model (IMRPhenomD). We use as sources IMRPhenomHM and hybrid EOB-NR waveforms over a range of mass-ratio and inclination combinations, and recover the parameters with IMRPhenomHM and IMRPhenomD. These allow us to quantify the accuracy of parameter measurements using a multi-mode model, the biases incurred when using a quadrupole-only model to recover full (multi-mode) signals, and the systematic errors in the IMRPhenomHM model. We see that the parameters recovered by multi-mode templates are more precise for all non-zero inclinations as compared to quadrupole templates. For multi-mode injections, IMRPhenomD recovers biased parameters for non-zero inclinations with lower likelihood while IMRPhenomHM recovered parameters are accurate for most cases, and if a bias exists, it can be explained as a combined effect of observational priors and (in the case of hybrid-NR signals) waveform inaccuracies. For cases where IMRPhenomHM recovers biased parameters, the bias is always smaller than the corresponding IMRPhenomD recovery, and we conclude that IMRPhenomHM will be sufficiently accurate to allow unbiased measurements for most GW observations.

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Cited by 3 Pith papers

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  1. Impact of eccentricity and higher-modes on neutron star-black hole parameter estimation

    astro-ph.HE 2026-07 conditional novelty 6.0 of 10

    Eccentric NSBH signals like GW200105 contain much more information about masses, mass ratio, and effective spin per unit SNR than circular signals, but not about sky position or distance.

  2. Detectability and Parameter Estimation for Einstein Telescope Configurations with GWJulia

    astro-ph.CO 2025-06 conditional novelty 6.0 of 10

    A new open-source Julia tool forecasts Einstein Telescope parameter-estimation accuracy, finding the 2L45 design marginally best for single parameters but comparable to other layouts when joint precision is required.

  3. On the use and interpretation of signal-model indistinguishability measures for gravitational-wave astronomy

    gr-qc 2025-06 accept novelty 5.0 of 10

    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...

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