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Detecting loss of Coherence based on Telescope Calibration results in ALMA

机译:根据ALMA中的望远镜校准结果检测相干损失

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The ALMA telescope will be composed of 66 high precision antennas; each antenna producing 8 times 2GHz bandwidth signals (4 pairs or orthogonal linear polarizations signals). Detecting the root cause of a loss of coherence issue between pairs of antennas can take valuable time which could be used for scientific purposes. This work presents an approach for quickly determining, in a systematic fashion, the source of this kind of issues. Faulty sub-system can be detected using the telescope calibration software and the granularity information. In a complex instrument such as the ALMA telescope, finding the cause of a loss of coherence issue can be a cumbersome task due to the several sub-systems involved on the signal processing (Frequency down-converter, analog and digital filters, instrumental delay), the interdependencies between sub-systems can make this task even harder. A method based on the information provided by the TelCal sub-system (in specific the Delay Measurements) will be used to help identify either the faulty unit or the wrong configuration which is causing the loss of coherence issue. This method uses granularity information to help find the cause of the problem.
机译:ALMA望远镜将由66个高精度天线组成;每个天线产生8倍2GHz带宽信号(4对或正交线性极化信号)。检测天线对之间的相干损失问题的根本原因可能会花费宝贵的时间,可用于科学目的。这项工作提出了一种以系统的方式快速确定此类问题来源的方法。可以使用望远镜校准软件和粒度信息来检测子系统故障。在复杂的仪器(例如ALMA望远镜)中,由于信号处理涉及多个子系统(频率下变频器,模拟和数字滤波器,仪器延迟),因此,寻找导致相干损失的原因可能是一项繁琐的任务。 ,子系统之间的相互依赖性会使这项任务变得更加困难。将使用基于TelCal子系统提供的信息的方法(具体而言是“延迟测量”)来帮助确定导致相干性问题的故障单元或错误配置。此方法使用粒度信息来帮助查找问题的原因。

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