output
20022009
most citedLIGO: The Laser Interferometer Gravitational-Wave Observatory

1.2k citations

Showing 2007 · gr-qcShow all

12 papers · 2 filters

gr-qc200763 cited

Search of S3 LIGO data for gravitational wave signals from spinning black hole and neutron star binary inspirals

The LIGO Scientific Collaboration, B. Abbott

We report on the methods and results of the first dedicated search for gravitational waves emitted during the inspiral of compact binaries with spinning component bodies. We analyz…

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-qc20071.2k cited

LIGO: The Laser Interferometer Gravitational-Wave Observatory

The LIGO Scientific Collaboration, B. Abbott

The goal of the Laser Interferometric Gravitational-Wave Observatory (LIGO) is to detect and study gravitational waves of astrophysical origin. Direct detection of gravitational wa…

gr-qc200719 cited

Inference on inspiral signals using LISA MLDC data

Christian Röver, Alexander Stroeer, Ed Bloomer +11

In this paper we describe a Bayesian inference framework for analysis of data obtained by LISA. We set up a model for binary inspiral signals as defined for the Mock LISA Data Chal…

gr-qc200727 cited

Coherent Bayesian analysis of inspiral signals

Christian Röver, Renate Meyer, Gianluca M. Guidi +2

We present in this paper a Bayesian parameter estimation method for the analysis of interferometric gravitational wave observations of an inspiral of binary compact objects using d…

gr-qc200733 cited

Searching for Gravitational Waves from Binary Inspirals with LIGO

Duncan A. Brown, Stanislav Babak, Patrick R. Brady +9

We describe the current status of the search for gravitational waves from inspiralling compact binary systems in LIGO data. We review the result from the first scientific run of LI…