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research article

Reconstructing the spectral shape of a stochastic gravitational wave background with LISA

Caprini, Chiara
•
Figueroa, Daniel G.  
•
Flauger, Raphael
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November 1, 2019
Journal Of Cosmology And Astroparticle Physics

We present a set of tools to assess the capabilities of LISA to detect and reconstruct the spectral shape and amplitude of a stochastic gravitational wave background (SGWB). We first provide the LISA power-law sensitivity curve and binned power-law sensitivity curves, based on the latest updates on the LISA design. These curves are useful to make a qualitative assessment of the detection and reconstruction prospects of a SGWB. For a quantitative reconstruction of a SGWB with arbitrary power spectrum shape, we propose a novel data analysis technique: by means of an automatized adaptive procedure, we conveniently split the LISA sensitivity band into frequency bins, and fit the data inside each bin with a power law signal plus a model of the instrumental noise. We apply the procedure to SGWB signals with a variety of representative frequency profiles, and prove that LISA can reconstruct their spectral shape. Our procedure, implemented in the code SGWBinner, is suitable for homogeneous and isotropic SGWBs detectable at LISA, and it is also expected to work for other GW observatories.

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Type
research article
DOI
10.1088/1475-7516/2019/11/017
Web of Science ID

WOS:000507259700014

Author(s)
Caprini, Chiara
Figueroa, Daniel G.  
Flauger, Raphael
Nardini, Germano
Peloso, Marco
Pieroni, Mauro
Ricciardone, Angelo
Tasinato, Gianmassimo
Date Issued

2019-11-01

Publisher

IOP PUBLISHING LTD

Published in
Journal Of Cosmology And Astroparticle Physics
Issue

11

Start page

017

Subjects

Astronomy & Astrophysics

•

Physics, Particles & Fields

•

Physics

•

gravitational waves / experiments

•

primordial gravitational waves (theory)

•

radiation

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LPPC  
Available on Infoscience
January 31, 2020
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/165050
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