The approach to determine working frequencies of acoustic in-situ detector for seafloor hydrothermal fluid is presented. Based on the research of deep-sea noise and the sound generated by mid-ocean ridge black smoker ...The approach to determine working frequencies of acoustic in-situ detector for seafloor hydrothermal fluid is presented. Based on the research of deep-sea noise and the sound generated by mid-ocean ridge black smoker hydrothermal vents, and on the hydrothermal-vent animal hearing ranges, coupled with influences of suspended particles of hydrothermal on acoustic attenuation under different frequencies, the optimal frequency range for detection of acoustical signal near black smokers is determined. The optimal frequencies providing the maximum ratio of receiver signal to background noise are obtained. We have developed a laboratory experimental setup for the optimal frequencies selection. In particular, we evaluated time-of-flight performance with respect to the source signal parameters of center frequency and bandwidth. The experimental results confirm the effectiveness of our approach. Current results indicate that individual transducers operated in the range of 18 - 25 kHz are immune to most interfering sounds and suitable for our system.展开更多
Integrated circuits of deep submicron(DSM) CMOS technology are advantageous in volume density, power consumption and thermal noise for multichannel particle detection systems,but there are challenges in the front-end ...Integrated circuits of deep submicron(DSM) CMOS technology are advantageous in volume density, power consumption and thermal noise for multichannel particle detection systems,but there are challenges in the front-end circuit design.In this paper,we present a 0.18μm CMOS front-end readout circuit for low noise CdZnTe detectors in tens of pF capacitance.Solutions to the noise and gate leak problems in DSM technologies are discussed in detail.A prototype chip was designed,with a charge sensitive preamplifier,a 4th order semi-Gaussian shaper and several output drivers.Test results show that the chip has an equivalent noise charge of 164 e,without connecting it to a detector,with an integral nonlinearity of<0.21%and differential nonlinearity of<3.75%.展开更多
液体闪烁体(简称“液闪”)探测器因其成本效益高而被广泛应用于中微子探测。液闪探测器利用带电粒子激发的闪烁光来测量粒子的相关信息,并通过粒子径迹推断其运动方向。对于能量较低导致径迹过短的粒子,液闪探测器探测到的闪烁光子数量...液体闪烁体(简称“液闪”)探测器因其成本效益高而被广泛应用于中微子探测。液闪探测器利用带电粒子激发的闪烁光来测量粒子的相关信息,并通过粒子径迹推断其运动方向。对于能量较低导致径迹过短的粒子,液闪探测器探测到的闪烁光子数量远超切伦科夫光子数量(约高出两到三个数量级),因此利用切伦科夫光确定粒子运动方向极为困难,相关研究多集中于低光产额的液闪实验。对于高光产额的液闪实验,如Borexino、KamLAND和江门中微子实验(JUNO),在这方面的研究较少,尤其是在深度学习的应用方面。因此,探究深度学习在此领域的潜力具有重要意义。本工作开发了一种基于卷积神经网络(Convolutional Neural Network,CNN)的深度学习模型CRCP(Cherenkov Ring Center Predictor)用于液闪探测器点粒子运动方向重建,并与基于拟合的方法进行了效果对比。研究表明深度学习算法具有较好的重建方向能力。本工作可用于江门中微子实验、萨德伯里中微子观测站(SNO+)实验和慢液闪方案的锦屏中微子实验,以提高探测器对太阳中微子相关的本底的压低能力。展开更多
基金supported by the National High Technology Research and Development Program of China(863 Program,Grant No.2007AA09Z213)the National Natural Science Foundation of China(Grant No.40637037)the Science and Technology Program of Zhejiang Province for Qianjiang Professional People(Grant No.2008R10020)
文摘The approach to determine working frequencies of acoustic in-situ detector for seafloor hydrothermal fluid is presented. Based on the research of deep-sea noise and the sound generated by mid-ocean ridge black smoker hydrothermal vents, and on the hydrothermal-vent animal hearing ranges, coupled with influences of suspended particles of hydrothermal on acoustic attenuation under different frequencies, the optimal frequency range for detection of acoustical signal near black smokers is determined. The optimal frequencies providing the maximum ratio of receiver signal to background noise are obtained. We have developed a laboratory experimental setup for the optimal frequencies selection. In particular, we evaluated time-of-flight performance with respect to the source signal parameters of center frequency and bandwidth. The experimental results confirm the effectiveness of our approach. Current results indicate that individual transducers operated in the range of 18 - 25 kHz are immune to most interfering sounds and suitable for our system.
基金supported by the National Natural Science Foundation of China (No.61006021)
文摘Integrated circuits of deep submicron(DSM) CMOS technology are advantageous in volume density, power consumption and thermal noise for multichannel particle detection systems,but there are challenges in the front-end circuit design.In this paper,we present a 0.18μm CMOS front-end readout circuit for low noise CdZnTe detectors in tens of pF capacitance.Solutions to the noise and gate leak problems in DSM technologies are discussed in detail.A prototype chip was designed,with a charge sensitive preamplifier,a 4th order semi-Gaussian shaper and several output drivers.Test results show that the chip has an equivalent noise charge of 164 e,without connecting it to a detector,with an integral nonlinearity of<0.21%and differential nonlinearity of<3.75%.
文摘液体闪烁体(简称“液闪”)探测器因其成本效益高而被广泛应用于中微子探测。液闪探测器利用带电粒子激发的闪烁光来测量粒子的相关信息,并通过粒子径迹推断其运动方向。对于能量较低导致径迹过短的粒子,液闪探测器探测到的闪烁光子数量远超切伦科夫光子数量(约高出两到三个数量级),因此利用切伦科夫光确定粒子运动方向极为困难,相关研究多集中于低光产额的液闪实验。对于高光产额的液闪实验,如Borexino、KamLAND和江门中微子实验(JUNO),在这方面的研究较少,尤其是在深度学习的应用方面。因此,探究深度学习在此领域的潜力具有重要意义。本工作开发了一种基于卷积神经网络(Convolutional Neural Network,CNN)的深度学习模型CRCP(Cherenkov Ring Center Predictor)用于液闪探测器点粒子运动方向重建,并与基于拟合的方法进行了效果对比。研究表明深度学习算法具有较好的重建方向能力。本工作可用于江门中微子实验、萨德伯里中微子观测站(SNO+)实验和慢液闪方案的锦屏中微子实验,以提高探测器对太阳中微子相关的本底的压低能力。
