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LISA Sensitivity to Gravitational Waves from Sound Waves

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arxiv 2005.10789 v2 pith:6TSR27XG submitted 2020-05-21 hep-ph astro-ph.COgr-qc

LISA Sensitivity to Gravitational Waves from Sound Waves

classification hep-ph astro-ph.COgr-qc
keywords lisasensitivitywavesanalysiscompactconfusiondifferentexpected
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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Gravitational waves (GWs) produced by sound waves in the primordial plasma during a strong first-order phase transition in the early Universe are going to be a main target of the upcoming Laser Interferometer Space Antenna (LISA) experiment. In this short note, I draw a global picture of LISA's expected sensitivity to this type of GW signal, based on the concept of peak-integrated sensitivity curves (PISCs) recently introduced in [1909.11356, 2002.04615]. In particular, I use LISA's PISC to perform a systematic comparison of several thousands of benchmark points in ten different particle physics models in a compact fashion. The presented analysis (i) retains the complete information on the optimal signal-to-noise ratio, (ii) allows for different power-law indices describing the spectral shape of the signal, (iii) accounts for galactic confusion noise from compact binaries, and (iv) exhibits the dependence of the expected sensitivity on the collected amount of data. An important outcome of this analysis is that, for the considered set of models, galactic confusion noise typically reduces the number of observable scenarios by roughly a factor two, more or less independent of the observing time. The numerical results presented in this paper are also available on Zenodo [http://doi.org/10.5281/zenodo.3837877].

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Cited by 3 Pith papers

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

  1. New Sensitivity Curves for Gravitational-Wave Signals from Cosmological Phase Transitions

    hep-ph 2020-02 unverdicted novelty 7.0

    Defines peak-integrated sensitivity curves (PISCs) that fold in the expected spectral shape of gravitational waves from cosmological phase transitions and supplies semianalytical fits plus public data for major detectors.

  2. Signal-to-Noise Ratio Contours for LISA

    gr-qc 2026-07 accept novelty 6.0

    LISA auto-correlation SNR equals the square root of T_obs times the integral of (signal/(noise+signal))^2 and is therefore bounded by sqrt(T_obs(f_max-f_min)).

  3. Probing Quadratically Coupled Ultralight Dark Matter with the Laser Interferometer Space Antenna

    hep-ph 2026-07 conditional novelty 6.0

    LISA forecasts for quadratically coupled ultralight dark matter show competitive or superior sensitivity to terrestrial and astrophysical probes in selected mass windows, free of screening.