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arXiv 1701.07091astro-ph.IMastro-ph.HE
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EUSO-TA荧光检测器

EUSO-TA fluorescence detector

Francesca Bisconti

摘要:

EUSO-TA是探测超高能宇宙射线的天基JEM-EUSO飞行任务的一个探路者实验。EUSO-TA是一个高分辨率荧光望远镜,安装在望远镜阵列(TA)实验的Black Rock Mesa荧光探测器前面,位于美国犹他州。在技术援助地点,安装了一个用于校准目的的中央激光设施,因为它发射具有已知能量和几何形状的激光束。EUSO-TA由两个1 $\mbox{m}^2$菲涅尔透镜组成,视场为10.5°,将光线聚焦在光电探测器模块(PDM)上。PDM目前由36个Hamamatsu多阳极光电倍增管(MAPMT)组成,每个管有64个通道。前端读出由36个ASIC执行,两个FPGA板将数据发送到CPU和存储系统。该探测器于2015年2月安装。使用上述光源进行了测试,并对宇宙射线事件以及具有不同星等和颜色指数的恒星进行了观测。数据采集由TA荧光检测器触发,尽管自触发算法目前处于开发和测试的最后阶段。利用TA的大视场和表面探测器,重建了宇宙线簇射事件,并利用EUSO-Offline模拟了EUSO-TA探测器的响应。检测到的事件的模拟与数据进行比较,结果显示在这项工作中。

英文摘要:

EUSO-TA is a pathfinder experiment for the space based JEM-EUSO mission for the detection of ultra-high energy cosmic rays. EUSO-TA is an high-resolution fluorescence telescope installed in front of the Black Rock Mesa fluorescence detectors of the Telescope Array (TA) experiment, in Utah (USA). At the TA site, a Central Laser Facility is installed for calibration purposes, since it emits laser beams with known energy and geometry. EUSO-TA consists of two 1 $\mbox{m}^2$ Fresnel lenses, with a field of view of 10.5° that focus the light on a Photo Detector Module (PDM). The PDM currently consists of 36 Hamamatsu Multi-Anode Photo-Multipliers Tubes (MAPMTs) with 64 channels each. Front-end readout is performed by 36 ASICS, with two FPGA boards that send the data to a CPU and a storage system. The detector was installed in February 2015. Tests using the mentioned light sources have been performed and observations of cosmic ray events, as well as those of stars with different magnitude and color index have been done. The data acquisition is triggered by TA fluorescence detectors, although a self-trigger algorithm is currently in the last phases of development and test. With TA, thanks to its large field of view and the surface detectors, the cosmic ray shower events are reconstructed and the parameters are used to perform simulations of the response of EUSO-TA detector using EUSO-Offline. Simulations of the detected events are compared with data and the results are shown in this work.

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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