arXivDaily arXiv每日学术速递 周一至周五更新
arXiv周末暂无论文更新,休息一下吧,周末愉快~~
arXiv 2310.20196astro-ph.IM
收藏

X射线偏振数据事件分析方法进一步发展

Further Development of Event-Based Analysis of X-ray Polarization Data

Herman L. Marshall

AI总结:

该研究扩展了事件级X射线偏振数据分析的最大似然方法,纳入背景与非均匀采样,推导MDP公式并引入Kolmogorov风格检验,以处理偏振角随事件特征变化的情形。

摘要:

一种基于事件的最大似然方法用于处理X射线偏振测量数据,现已扩展以包含背景效应以及可能位置角空间的非均匀采样。虽然位置角空间的非均匀采样通常在偏振参数的 uncertainties 中引入交叉项,可能导致简并性,但存在一些有趣的情况不会产生偏差或参数协方差。在将背景纳入基于泊松的似然公式时,最小可检测偏振(MDP)的公式与 Elsner 等人(2012)在非偏振信号极限情形下推导的高斯统计情形下的公式几乎具有相同形式。还考虑了偏振背景,这明显增加了源偏振测量的不确定性。此外,提出了一种 Kolmogorov 风格的事件位置角分布检验,可提供对模型的非分箱检验,其中 Stokes 空间中的偏振角取决于事件特征(如时间或能量)。

英文摘要:

An event-based maximum likelihood method for handling X-ray polarimetry data is extended to include the effects of background and nonuniform sampling of the possible position angle space. While nonuniform sampling in position angle space generally introduces cross terms in the uncertainties of polarization parameters that could create degeneracies, there are interesting cases that engender no bias or parameter covariance. When including background in Poisson-based likelihood formulation, the formula for the minimum detectable polarization (MDP) has nearly the same form as for the case of Gaussian statistics derived by Elsner et al. (2012) in the limiting case of an unpolarized signal. A polarized background is also considered, which demonstrably increases uncertainties in source polarization measurements. In addition, a Kolmogorov-style test of the event position angle distribution is proposed that can provide an unbinned test of models where the polarization angle in Stokes space depends on event characteristics such as time or energy.

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。

↑