Bayesian PSD estimation for LISA noise based on P-splines with a parametric boost
收藏Zenodo2025-09-15 更新2026-05-26 收录
下载链接：
https://zenodo.org/doi/10.5281/zenodo.17116774
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资源简介：
This repository provides datasets to evaluate Bayesian power spectral density (PSD) estimation for LISA X-channel noise using P-splines with a parametric component.
The contents are:
X channel noise-4a (LISA SGWB Dataset (noise-4a)) LISA dataset periodograms and results (durations: 3, 6 months, and 1 year):
ddpc_f_3mon.txt, ddpc_f_6mon.txt, ddpc_f_1year.txt: Fourier frequencies
ddpc_x2_per_3mon.txt, ddpc_x2_per_6mon.txt, ddpc_x2_per_1year.txt: Blocked periodogram.
mcmc_results_1year.h5, mcmc_results_1year.h5, mcmc_results_1year.h5: MCMC outputs and posterior summaries.
AR(4) simulations and results. Each archive contains 500 instances of periodograms, parametric model PSDs, MCMC results of Model 1 (when the parametric model is white noise), and Model 2 (when the parametric model is AR(4)).
arsim_128.7z
arsim_256.7z
arsim_512.7z
提供机构：
Zenodo
创建时间：
2025-09-15
