195 citations · 415 across the 7 of their papers we have counts for
7 papers · 1 filter
Markov chain Monte Carlo searches for Galactic binaries in Mock LISA Data Challenge 1B data sets
Miquel Trias, Alberto Vecchio, John Veitch
We are developing a Bayesian approach based on Markov chain Monte Carlo techniques to search for and extract information about white dwarf binary systems with the Laser Interferome…
A Bayesian approach to the follow-up of candidate gravitational wave signals
John Veitch, Alberto Vecchio
Ground-based gravitational wave laser interferometers (LIGO, GEO-600, Virgo and Tama-300) have now reached high sensitivity and duty cycle. We present a Bayesian evidence-based app…
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…
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…
Inference on white dwarf binary systems using the first round Mock LISA Data Challenges data sets
Alexander Stroeer, John Veitch, Christian Roever +11
We report on the analysis of selected single source data sets from the first round of the Mock LISA Data Challenges (MLDC) for white dwarf binaries. We implemented an end-to-end pi…
Upper limits on gravitational wave emission from 78 radio pulsars
The LIGO Scientific Collaboration, B. Abbott, M. Kramer +1
We present upper limits on the gravitational wave emission from 78 radio pulsars based on data from the third and fourth science runs of the LIGO and GEO600 gravitational wave dete…