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arXiv 0908.3831astro-ph.IM
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红外天文测量算法和干涉信号建模分析

Analysis of measurement algorithms and modelling of interferometric signals for infrared astronomy

Bonino Donata

摘要:

干涉测量参数值的测量受到大气干扰引起的相位扰动的影响。条纹传感算法,旨在条纹参数识别,是基于干涉模型,必须仔细适应的干涉光束,包括可变性源。所有的信息都包含在采集到的信号中,如何提取这些信息一直是研究的课题。在论文的第一部分,我们提出了两个不同的条纹传感器的ESO VLTI的条纹传感算法:FINITO和PRIMA FSU。我们强调他们必须如何适应不同的仪器布局,我们总结了他们的表现都在模拟和实验室数据。在第二部分中,我们展示了一些统计技术应用于实际干涉信号的结果。通过时间序列分析,我们检查了组合前后信号的组成,将纯随机效应和特殊特征与趋势分离开来。通过多元回归分析,我们能够分离出由于干扰物理过程而产生的噪声成分。这些技术可用于仪器性能和信号表征的质量测试。它们可以很容易地适应不同的干涉仪。

英文摘要:

Measurement of interferometric parameters values is affected by phase disturbance due especially to atmospheric turbulences. Algorithms of fringe sensing, aimed at fringe parameters identification, are based on interferometric models that have to be carefully adapted to the interfered beams, including variability sources. All information is contained in the collected signals, and how to extract it is subject of researches. In the first part of the thesis, we present the fringe sensing algorithms proposed for two different fringe sensors for the ESO VLTI: FINITO and PRIMA FSU. We highlight how they must adapt to the different instrumental layouts, and we summarize their performance both on simulated and on laboratory data. In the second part, we show the results of the application of some statistical techniques to real interferometric signals. With the time series analysis we examine the composition of signals before and after the combination, separating pure random effects and peculiar features from trends. With the multivariate regression analysis, we are able to isolate noise components due to the interference physical process. These techniques can be useful for quality tests both for instrumental performances and for signals characterization. They could be easily adapted to different interferometric instruments.

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。

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