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20062025
most citedRobust parameter estimation for compact binaries with ground-based gravitational-wave observations using the LALInference software library

980 citations · 3k across the 31 of their papers we have counts for

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gr-qc2014★ 980 cited

Robust parameter estimation for compact binaries with ground-based gravitational-wave observations using the LALInference software library

John Veitch, Vivien Raymond, Benjamin Farr +24

The Advanced LIGO and Advanced Virgo gravitational wave (GW) detectors will begin operation in the coming years, with compact binary coalescence events a likely source for the firs…

gr-qc2010★ 20 cited

Bayesian parameter estimation in the second LISA Pathfinder Mock Data Challenge

M. Nofrarias, C. Röver, M. Hewitson +6

A main scientific output of the LISA Pathfinder mission is to provide a noise model that can be extended to the future gravitational wave observatory, LISA. The success of the miss…

gr-qc2009★ 9 cited

Random template placement and prior information

Christian Röver

In signal detection problems, one is usually faced with the task of searching a parameter space for peaks in the likelihood function which indicate the presence of a signal. Random…

gr-qc2009★ 31 cited

The effects of LIGO detector noise on a 15-dimensional Markov-chain Monte-Carlo analysis of gravitational-wave signals

V. Raymond, M. V. van der Sluys, I. Mandel +3

Gravitational-wave signals from inspirals of binary compact objects (black holes and neutron stars) are primary targets of the ongoing searches by ground-based gravitational-wave (…

gr-qc2009★ 97 cited

Bayesian reconstruction of gravitational wave burst signals from simulations of rotating stellar core collapse and bounce

Christian Röver, Marie-Anne Bizouard, Nelson Christensen +3

Presented in this paper is a technique that we propose for extracting the physical parameters of a rotating stellar core collapse from the observation of the associated gravitation…

gr-qc2009★ 55 cited

Status of NINJA: the Numerical INJection Analysis project

Benjamin Aylott, John G. Baker, William D. Boggs +74

The 2008 NRDA conference introduced the Numerical INJection Analysis project (NINJA), a new collaborative effort between the numerical relativity community and the data analysis co…

gr-qc2006★ 58 cited

Bayesian inference on compact binary inspiral gravitational radiation signals in interferometric data

Christian Röver, Renate Meyer, Nelson Christensen

Presented is a description of a Markov chain Monte Carlo (MCMC) parameter estimation routine for use with interferometric gravitational radiational data in searches for binary neut…