Inference on white dwarf binary systems using the first round Mock LISA Data Challenges data sets

@article{Stroeer2007InferenceOW,
  title={Inference on white dwarf binary systems using the first round Mock LISA Data Challenges data sets},
  author={Alexander Stroeer and John Veitch and Christian Roever and Ed Bloomer and James S. Clark and Nelson Christensen and Martin Hendry and Chris Messenger and Renate Meyer and Matthew Pitkin and Jennifer Toher and Richard Umstaetter and Alberto Vecchio and Graham Woan},
  journal={Classical and Quantum Gravity},
  year={2007},
  volume={24},
  pages={S541 - S549}
}
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… 

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