Report/Journal Article PUBDB-2018-05008

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Probing non-Gaussian stochastic gravitational wave backgrounds with LISA

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2018
IOP London

Journal of cosmology and astroparticle physics 1811(11), 034 () [10.1088/1475-7516/2018/11/034]
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Report No.: ACFI-T18-08; CERN-TH-2018-130; DESY-18-086; IFT-UAM-CSIC-18-58; KCL-PH-TH-2018-22; UMN-TH-3720-18; arXiv:1806.02819

Abstract: The stochastic gravitational wave background (SGWB) contains a wealth of information on astrophysical and cosmological processes. A major challenge of upcoming years will be to extract the information contained in this background and to disentangle the contributions of different sources. In this paper we provide the formalism to extract, from the correlation of three signals in the Laser Interferometer Space Antenna (LISA), information about the tensor three-point function, which characterizes the non-Gaussian properties of the SGWB. Compared to the two-point function, the SGWB three-point function has a richer dependence on the gravitational wave momenta and chiralities, and a larger number of signal channels. It can be used therefore as a powerful discriminator between different models. We provide LISA's response functions to a general SGWB three-point function. As examples, we study in full detail the cases of an equilateral and squeezed SGWB bispectra, and provide the explicit form of the response functions, ready to be convoluted with any theoretical prediction of the bispectrum to obtain the observable signal. We further derive the optimal estimator to compute the signal-to-noise ratio. Our formalism covers general shapes of non-Gaussianity, and can be extended straightaway to other detector geometries. Finally, we provide a short overview of models of the early universe that can give rise to non-Gaussian SGWB.

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Note: © IOP Publishing Ltd and Sissa Medialab

Contributing Institute(s):
  1. Theorie-Gruppe (T)
Research Program(s):
  1. 611 - Fundamental Particles and Forces (POF3-611) (POF3-611)
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Probing non-Gaussian Stochastic Gravitational Wave Backgrounds with LISA
[10.3204/PUBDB-2018-02233]  GO OpenAccess  Download fulltext Files  Download fulltextFulltext by arXiv.org BibTeX | EndNote: XML, Text | RIS


 Record created 2018-11-29, last modified 2025-07-17


Published on 2018-11-21. Available in OpenAccess from 2019-11-21.:
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