Stroeer, A. et al. (2007) Inference on white dwarf binary systems using the first round Mock LISA Data Challenges data sets. Classical and Quantum Gravity, 24, S541-S549. (doi: 10.1088/0264-9381/24/19/S17)
Full text not currently available from Enlighten.
Abstract
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 pipeline consisting of a grid-based coherent pre-processing unit for signal detection and an automatic Markov Chain Monte Carlo (MCMC) post-processing unit for signal evaluation. We demonstrate that signal detection with our coherent approach is secure and accurate, and is increased in accuracy and supplemented with additional information on the signal parameters by our Markov Chain Monte Carlo approach. We also demonstrate that the Markov Chain Monte Carlo routine is additionally able to determine accurately the noise level in the frequency window of interest.
| Item Type: | Articles |
|---|---|
| Status: | Published |
| Refereed: | Yes |
| Glasgow Author(s) Enlighten ID: | Woan, Professor Graham and Messenger, Dr Christopher and Veitch, Dr John and Pitkin, Dr Matthew and Hendry, Professor Martin |
| Authors: | Stroeer, A., Veitch, J., Roever, C., Bloomer, E., Clark, J., Christensen, N., Hendry, M., Messenger, C., Meyer, R., Pitkin, M., Toher, J., Umstaetter, R., Vecchio, A., and Woan, G. |
| College/School: | College of Science and Engineering > School of Physics and Astronomy |
| Research Centre: | College of Science and Engineering > School of Physics and Astronomy > Institute for Gravitational Research |
| Journal Name: | Classical and Quantum Gravity |
| Publisher: | Institute of Physics |
| ISSN: | 0264-9381 |
| ISSN (Online): | 1361-6382 |
University Staff: Request a correction | Enlighten Editors: Update this record
Funder and Project Information
Funder and Project Information