论文标题
背景识别算法,用于未来自触发空调无线电阵列
Background identification algorithm for future self-triggered air-shower radio arrays
论文作者
论文摘要
对超高能量宇宙射线,中微子和伽马射线的研究是天体物理学中最重要的挑战之一。这些颗粒的低通量不允许直接检测它们。检测是通过测量地球大气中的主要颗粒产生的空中表演者进行的。超高能量空调者的无线电检测是一种具有成本效益的技术,与其他方法相比,与原代粒子参数的精确重建和几乎全部占空比。现代无线电检测器的主要挑战是开发有效的自触发技术,对高级背景和射频干扰有抵抗力。大多数现代无线电检测器接收由粒子或光学探测器产生的触发因素。无线电检测器的自触发器的开发将显着简化现有仪器的运行,并允许人们访问无线电方法的主要优势,并为下一代大型无线电检测器的构建开辟道路。在目前的工作中,我们讨论了解决这个问题的进展,尤其是宽带脉冲的分类。
The study of the ultra-high energy cosmic rays, neutrinos and gamma rays is one of the most important challenges in astrophysics. The low fluxes of these particles do not allow one to detect them directly. The detection is performed by the measuring of the air-showers produced by the primary particles in the Earth's atmosphere. A radio detection of ultra-high energy air-showers is a cost-effective technique that provides a precise reconstruction of the parameters of primary particle and almost full duty cycle in comparison with other methods. The main challenge of the modern radio detectors is the development of efficient self-trigger technology, resistant to high-level background and radio frequency interference. Most of the modern radio detectors receive trigger generated by either particle or optical detectors. The development of the self trigger for the radio detector will significantly simplify the operation of existing instruments and allow one to access the main advantages of the radio method as well as open the way to the construction of the next generation of large-scale radio detectors. In the present work we discuss our progress in the solution of this problem, particularly the classification of broadband pulses.