Validating Prior-informed Fisher-matrix Analyses against GWTC Data
arxiv(2024)
摘要
Next-generation gravitational-wave detectors, such as the Einstein Telescope
(ET), are expected to observe a few 100,000 signals each year. This will
require efficient analysis tools and computational resources well beyond the
needs of current detectors. Such resources are not presently available to the
science community. Therefore, to investigate ET observational capabilities and
science cases, Fisher-matrix methods are used to predict how precisely
parameters like mass, spin, source distance or sky location can be estimated
from ET data. The approach is based on a Gaussian approximation of the
likelihood function. However, the reliability of error estimates obtained from
Fisher-matrix methods remains an open question. In this article, we present a
Fisher-matrix analysis of signals of the Gravitational Wave Transient Catalog
(GWTC). We compare parameter-estimation errors obtained using the Fisher matrix
code GWFish with the errors from the marginal distributions of the Virgo/LIGO
posterior analysis. In order to understand the impact of prior distributions on
the results, we implemented a Gaussian likelihood sampling algorithm with
priors in GWFish. To ensure a fair comparison of the methods, the GWFish
analyses presented in this article use the same priors and the same
instrument-noise spectra as the Virgo/LIGO posterior analyses. Our findings
imply that Fisher-matrix methods, especially if augmented with the use of
priors, are a valid tool for ET science-case studies.
更多查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要