一个闪烁体为基础的μ子系统与SiPM读数的高超探测器

M. Andreotti, W. Baldini, M. Benettoni, R. Calabrese, V. Carassiti, G. Cibinetto, F. Corso, F. Evangelisti, C. Fanin, E. Feltresi, N. Gagliardi, E. Luppi, R. Malaguti, M. Manzali, M. Melchiorri, M. Munerato, M. Posocco, A. C. Ramusino, M. Rotondo, R. Stroili, L. Tomassetti
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引用次数: 4

摘要

现有用于高能物理实验的介子探测器主要由气室构成,如电阻板室、有限流线型管或多线比例室。随着新型加速器亮度的增加和实验规模的增加,开发一种鲁棒、廉价、能够维持高粒子速率的新型检测技术势在必行。我们提出了超级B μ子系统的技术方案。探测器是基于MINOS风格的挤压闪烁体耦合到波长移动的光纤。光的读出是通过硅光电倍增管器件完成的。我们报告了原型的研发结果,这些原型可以用二进制读出操作,只测量一个坐标,或者用TDC读出操作,可以同时测量两个坐标,具有足够的精度。将讨论不同原型几何形状的效率和时间分辨率,以及与光电探测器相关的主要操作问题,如稳定性、噪声率和中子损伤。我们的实验室正在建造一个与SuperB实验相同几何形状的全尺寸原型,它将于明年秋天在final用μ子/介子光束进行测试。利用GEANT4蒙特卡罗模拟对结构进行了优化研究,并利用神经网络算法对预期的μ子识别性能进行了评估,给出了优化的初步结果及其对SuperB μ子系统的启示。
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A scintillator based muon system with SiPM readout for the SuperB detector
The existing muon detectors for high-energy physics experiments are mainly made of gas chambers such as Resistive Plate Chambers, Limited Streamer Tubes or Multi Wire Proportional Chambers. With the increasing luminosity of the new accelerators and the increment in dimensions of the experiments the development of a new detection technique, which is robust, cheap and capable to sustain high particle rate, is mandatory. We present the technology proposed for the Super B muon system. The detector is based on MINOS style extruded scintillators coupled to wavelength shifting fibers. The light readout is done by means of Silicon Photomultiplier devices. We report the R&D results on prototypes that can be operated either with binary readout, measuring only one coordinate, or with a TDC readout that can measure both the coordinate at the same time with adequate precision. Efficiency and time resolution will be discussed for different prototype geometry as well as the main operational issues related to the photodetectors, like stability, noise rate and neutron damage. A full-scale prototype with the same geometry designed for the SuperB experiment is under construction in our lab and it will be tested with a muon/pion beam at FNAL next fall. The structure optimization has been studied using a GEANT4 Monte Carlo simulation and the expected muon identification performances have been evaluated with a neural network algorithm, we present preliminary results of the optimization and its implication for the SuperB muon system.
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