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An Optimization of the FPGA Based Wavelet Trigger in Radio Detection of Cosmic Rays

机译:基于FPGA的小波触发器在宇宙射线无线电探测中的优化

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摘要

Experiments which observe coherent radio emission from extensive air showers induced by ultra-high energy cosmic rays are designed for a detailed study of the development of the electromagnetic part of air showers. Radio detectors can operate with 100% up time as e.g. surface detectors based on water-Cherenkov tanks. They are being developed for ground-based experiments (e.g. the Pierre Auger Observatory) as another type of air shower detector in addition to fluorescence detectors, which operate with only of duty on dark nights. The radio signals from air showers are caused by coherent emission caused by geomagnetic radiation and charge excess processes. The self-triggers currently used in radio detectors often generate a dense stream of data, which is analyzed afterwards. Large amounts of stored data require significant computing resources for off-line analysis. An improvement of the trigger efficiency would be highly desirable. A wavelet trigger, which investigates the power of radio signals () on-line is a promising development of the current designs. In this work, Morlet wavelets with various scaling factors were used for an analysis of real data from the Auger Engineering Radio Array (AERA) and for an optimization of the utilization of the resources in an FPGA. The wavelet analysis showed that the power of events is concentrated mostly in a limited range of the frequency spectrum (consistent with a range imposed by the input analog band-pass filter). However, we found several events with suspicious spectral characteristics, where the signal power was spread over the full band-width sampled by a 200 MHz digitizer with a significant contribution from very high and very low frequencies. These events most probably do not originate from cosmic ray showers but could be human-made contami- ations. The engine of a wavelet analysis can be implemented in the modern powerful FPGA and can remove suspicious events on-line to reduce the trigger rate.
机译:设计用于观察由超高能宇宙射线引起的大范围空气喷淋的相干无线电发射的实验,用于详细研究空气喷淋的电磁部分的发展。无线电探测器可以以100%的正常运行时间运行,例如基于切伦科夫水箱的地面探测器。它们正在开发用于地面实验(例如Pierre Auger天文台),是荧光检测器之外的另一种空气淋浴检测器,该检测器仅在漆黑的夜晚工作。空气喷淋器的无线电信号是由地磁辐射引起的相干发射引起的,并且会产生多余的电荷。当前在无线电探测器中使用的自触发通常会生成密集的数据流,然后对其进行分析。大量存储的数据需要大量的计算资源用于离线分析。非常需要提高触发效率。小波触发器可以在线研究无线电信号的功率,这是当前设计的有希望的发展。在这项工作中,使用具有各种比例因子的Morlet小波来分析来自俄歇工程无线电阵列(AERA)的真实数据,并优化FPGA中资源的利用率。小波分析表明,事件的力量主要集中在有限的频谱范围内(与输入模拟带通滤波器施加的范围一致)。但是,我们发现了一些具有可疑频谱特征的事件,其中信号功率分布在200 MHz数字化仪采样的整个带宽上,这在非常高和非常低的频率中都有很大贡献。这些事件很可能并非源于宇宙射线阵雨,而可能是人为污染。小波分析引擎可以在功能强大的现代FPGA中实现,并且可以在线删除可疑事件以降低触发率。

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