标题： 使用第一轮Mock LISA数据挑战数据集对白矮星双星系统进行推断 显示英文标题

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

摘要： 我们报告了对首次Mock LISA数据挑战（MLDC）中选定的单源数据集的分析，用于白矮星双星系统。 我们实现了一个端到端的流程，包括基于网格的相干预处理单元用于信号检测，以及自动马尔可夫链蒙特卡洛后处理单元用于信号评估。 我们证明了使用我们的相干方法进行信号检测是安全且准确的，并且通过我们的马尔可夫链蒙特卡洛方法提高了准确性，并提供了关于信号参数的额外信息。 我们还证明了马尔可夫链蒙特卡洛过程还能准确地确定感兴趣频率窗口中的噪声水平。 显示英文摘要

摘要： 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 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.