Posterior samples for "Frequency-Domain Analysis of Black-Hole Ringdowns"

Posterior files associated with <em>Frequency-Domain Analysis of Black-Hole Ringdowns</em> (arxiv:2108.09344, Phys. Rev. D <strong>104</strong>, 123034). Folder naming: {event name} SNR{injection signal-to-noise ratio} frequency_domain {number of wavelets included in the model}W{QNM content described by lmn indices} {ringdown start time in ms}_{ringdown start time prior width in ms} time_domain {QNM content described by lmn indices} {ringdown start time in ms}_{ringdown start time prior width in ms} For example, the file GW190521/SNR15/frequency_domain/1W220/12-7_01/posterior_samples.dat contains the results of a frequency-domain analysis of the GW190521-like injection (at signal-to-noise ratio 15) using \(W=1\) wavelet with just the fundamental \(\ell = m = 2\), \(n=0\) QNM. It has a Gaussian prior on the ringdown start time centered 12.7 ms after the time of peak strain, with a width of 1 ms. The special-case two-interferometer analysis with Virgo excluded has "_HL" appended to its folder name. Each directory contains a 'posterior_samples.dat' file (see the 'plot_example.ipynb' for more information on reading the posterior files) and a 'sampler_output.json' which contains the log-evidence and the estimated error on the log-evidence.本数据集为《黑洞铃荡的频域分析》（*Frequency-Domain Analysis of Black-Hole Ringdowns*，arxiv:2108.09344，《物理评论D》**104**卷，123034期）相关的后验文件。文件夹命名与层级规则如下：顶层文件夹格式为{事件名称}/SNR{注入信号信噪比}/，其下包含frequency_domain与time_domain两个子目录。frequency_domain子目录内的文件夹命名为：{模型中包含的小波个数}W{以lmn指标描述的准正则模（Quasi-Normal Mode, QNM）内容}_{铃荡开始时间（毫秒）}_{铃荡开始时间先验宽度（毫秒）}；time_domain子目录内的文件夹命名为：{以lmn指标描述的准正则模内容}_{铃荡开始时间（毫秒）}_{铃荡开始时间先验宽度（毫秒）}。例如，文件GW190521/SNR15/frequency_domain/1W220/12-7_01/posterior_samples.dat，对应了对类GW190521注入信号（信噪比为15）的频域分析结果：该分析采用1个小波（(W=1)），仅包含基频(ell = m = 2)、(n=0)的准正则模，铃荡开始时间设置于峰值应变时刻后12.7 ms处，且符合中心值为12.7 ms、宽度为1 ms的高斯先验分布。针对排除Virgo探测器的双干涉仪特殊分析场景，其对应文件夹的名称会追加后缀“_HL”。每个此类文件夹均包含`posterior_samples.dat`文件（读取后验样本文件的详细说明可参考`plot_example.ipynb`），以及`sampler_output.json`文件，该文件存储了对数证据值及其估计误差。