195 citations · 461 across the 11 of their papers we have counts for
11 papers
Robust Bayesian detection of unmodelled bursts
Antony C Searle, Patrick J Sutton, Massimo Tinto +1
A Bayesian treatment of the problem of detecting an unmodelled gravitational wave burst with a global network of gravitational wave observatories reveals that several previously pr…
An Evidence Based Time-Frequency Search Method for Gravitational Waves from Pulsar Glitches
J Clark, I S Heng, M Pitkin +1
We review and expand on a Bayesian model selection technique for the detection of gravitational waves from neutron star ring-downs associated with pulsar glitches. The algorithm wo…
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…
A fast search strategy for gravitational waves from low-mass X-ray binaries
C. Messenger, G. Woan
We present a new type of search strategy designed specifically to find continuously emitting gravitational wave sources in known binary systems based on the incoherent sum of frequ…