用马尔可夫链蒙特卡罗方法求黑洞双星引力波能流的PN系数
Search for the PN coefficients for the Energy flux through Gravitational Waves from Black-Hole Binaries using Markov Chain Monte Carlo
摘要：
本文的工作重点是改进现有的后牛顿近似计算超大质量黑洞双星的引力通量。为了改进现有的LISA模板，我们需要更精确的后牛顿展开的引力通量。随机搜索技术，如马尔可夫链蒙特卡罗（MCMC）已被广泛用于搜索天空参数等的想法是将两者结合起来，并使用MCMC找到后牛顿系数的问题。它已被证明，匹配对5.5PN信号，噪声，最后的系数可以找到MCMC非常容易，并显示快速收敛。还探讨了高维搜索的空间。
英文摘要：
In this work, the focus is on the improvement of the existing post-Newtonian approximation for the gravitational flux from Super Massive Black Hole Binaries. In order to improve the existing templates for LISA, we need more accurate post-Newtonian expansions for the gravitational flux. Stochastic search techniques like the Markov Chain Monte Carlo (MCMC) have been used extensively for searching for sky parameters etc. The idea is to combine the two and approach the problem of finding post-Newtonian coefficients using MCMC. It has been shown that matching against a 5.5PN signal, with noise, the last coefficient can be found by MCMC very easily and displays fast convergence. Also the space for higher dimensional searches are explored.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
