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19992008
most citedObserving IMBH-IMBH Binary Coalescences via Gravitational Radiation

93 citations · 333 across the 10 of their papers we have counts for

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Showing gr-qcShow all

8 papers · 1 filter

gr-qc200838 cited

Detecting a Stochastic Gravitational-Wave Background: The Overlap Reduction Function

Lee Samuel Finn, Shane L. Larson, Joseph D. Romano

Detection of a gravitational-wave stochastic background via ground or space-based gravitational-wave detectors requires the cross-correlation of the response of two or more indepen…

gr-qc200764 cited

Report on the second Mock LISA Data Challenge

Stanislav Babak, John G. Baker, Matthew J. Benacquista +40

The Mock LISA Data Challenges are a program to demonstrate LISA data-analysis capabilities and to encourage their development. Each round of challenges consists of several data set…

gr-qc200748 cited

Report on the first round of the Mock LISA Data Challenges

K. A. Arnaud, G. Auger, S. Babak +42

The Mock LISA Data Challenges (MLDCs) have the dual purpose of fostering the development of LISA data analysis tools and capabilities, and demonstrating the technical readiness alr…

gr-qc200613 cited

A How-To for the Mock LISA Data Challenges

K. A. Arnaud, S. Babak, J. G. Baker +8

The LISA International Science Team Working Group on Data Analysis (LIST-WG1B) is sponsoring several rounds of mock data challenges, with the purpose of fostering development of LI…

gr-qc20062 cited

Addressing LISA Science Analysis Challenges

Matthew J. Benacquista, Lee Samuel Finn, Shane L. Larson +1

The principal goal of the \emph{LISA Science Analysis Workshop} is to encourage the development and maturation of science analysis technology in preparation for LISA science operat…

gr-qc20061 cited

The Testbed for LISA Analysis Project

Lee Samuel Finn, Matthew J. Benacquista, Shane L. Larson +1

The Testbed for LISA Analysis (TLA) Project aims to facilitate the development, validation and comparison of different methods for LISA science data analysis, by the broad LISA Sci…