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arXiv 1501.03497astro-ph.IM
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脉冲星模板生成的贝叶斯方法

A Bayesian method for pulsar template generation

M. Imgrund, D. J. Champion, M. Kramer, H. Lesch

摘要:

从脉冲星无线电信号中提取到达时间依赖于对脉冲星脉冲轮廓的了解以及如何生成该模板。我们研究脉冲星模板生成贝叶斯方法。我们将对比经典的平均强度剖面的生成机制与基于贝叶斯推断的新方法。我们介绍了贝叶斯测量模型施加和推导出的算法来重建一个“统计模板”的噪声数据。这些“统计模板”的属性进行了分析与模拟和真实的测量数据从PSR B1133+16。我们解释了如何把这种新形式的模板使用在分析次要参数的兴趣,并给出各种例子:我们实现了一个非线性滤波器,用于确定ToAs的pumerars。将此方法应用于PSR J1713+0747的数据,我们自洽地推导出ToA,这意味着所有时期都被计时,并且我们使用相同的时期来生成模板。虽然平均模板包含波动和噪声作为不可避免的文物,我们发现,“统计模板”由贝叶斯推断量化波动和剩余的不确定性。这就是为什么提出的算法可以从10到50个单脉冲中重建具有统计意义的模板。一个50个脉冲的移动数据窗口,在窗口的开始处取出一个单个脉冲,并在窗口的结束处添加一个脉冲,从而揭示了要比较的方法的特征。它表明,在经典的重建中引起的变化是由平均模板的随机波动,而统计上显着的变化驱动所提出的方法的重建的动态。与模拟数据的相移分析表明,所提出的非线性算法是能够重建正确的相位信息,以及一个可接受的估计剩余的不确定性。

英文摘要:

Extracting Times of Arrival from pulsar radio signals depends on the knowledge of the pulsars pulse profile and how this template is generated. We examine pulsar template generation with Bayesian methods. We will contrast the classical generation mechanism of averaging intensity profiles with a new approach based on Bayesian inference. We introduce the Bayesian measurement model imposed and derive the algorithm to reconstruct a "statistical template" out of noisy data. The properties of these "statistical templates" are analysed with simulated and real measurement data from PSR B1133+16. We explain how to put this new form of template to use in analysing secondary parameters of interest and give various examples: We implement a nonlinear filter for determining ToAs of pulsars. Applying this method to data from PSR J1713+0747 we derive ToAs self consistently, meaning all epochs were timed and we used the same epochs for template generation. While the average template contains fluctuations and noise as unavoidable artifacts, we find that the "statistical template" derived by Bayesian inference quantifies fluctuations and remaining uncertainty. This is why the algorithm suggested turns out to reconstruct templates of statistical significance from ten to fifty single pulses. A moving data window of fifty pulses, taking out one single pulse at the beginning and adding one at the end of the window unravels the characteristics of the methods to be compared. It shows that the change induced in the classical reconstruction is dominated by random fluctuations for the average template, while statistically significant changes drive the dynamics of the proposed method's reconstruction. The analysis of phase shifts with simulated data reveals that the proposed nonlinear algorithm is able to reconstruct correct phase information along with an acceptable estimation of the remaining uncertainty.

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