Search for a stochastic gravitational-wave signal in the second round of the Mock LISA Data Challenges

E. L. Robinson, J. D. Romano, A. Vecchio

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

The analysis method currently proposed to search for isotropic stochastic radiation with the Laser Interferometer Space Antenna (LISA) relies on the combined use of two LISA channels, one of which is insensitive to gravitational waves, such as the symmetrized Sagnac. For this method to work, it is essential to know how the instrumental noise power in the two channels are related to one another; however, no quantitative estimates of this key information are available to date. The purpose of our study is to assess the performance of the symmetrized Sagnac method for different levels of prior information regarding the instrumental noise. We develop a general approach in the framework of Bayesian inference and an end-to-end analysis algorithm based on Markov chain Monte Carlo methods to compute the posterior probability density functions of the relevant model parameters. We apply this method to data released as part of the second round of the Mock LISA Data Challenges. For the selected (and somewhat idealized) example cases considered here, we find that for a signal whose amplitude dominates the instrumental noise by a factor ≈25, a prior uncertainty of a factor ≈2 in the ratio between the power of the instrumental noise contributions in the two channels allows for the detection of isotropic stochastic radiation. More importantly, we provide a framework for more realistic studies of LISA's performance and development of analysis techniques in the context of searches for stochastic signals.

Original languageEnglish
Article number184019
JournalClassical and Quantum Gravity
Volume25
Issue number18
DOIs
StatePublished - Sep 21 2008

Fingerprint Dive into the research topics of 'Search for a stochastic gravitational-wave signal in the second round of the Mock LISA Data Challenges'. Together they form a unique fingerprint.

Cite this