Streaming readout for next generation electron scattering experiment
Fabrizio Ameli, Marco Battaglieri, Vladimir V. Berdnikov, Mariangela Bondì, Sergey Boyarinov, Nathan Brei, Laura Cappelli, Andrea Celentano, Tommaso Chiarusi, R… 展开作者
Fabrizio Ameli, Marco Battaglieri, Vladimir V. Berdnikov, Mariangela Bondì, Sergey Boyarinov, Nathan Brei, Laura Cappelli, Andrea Celentano, Tommaso Chiarusi, Raffaella De Vita, Cristiano Fanelli, Vardan Gyurjyan, David Lawrence, Patrick Moran, Paolo Musico, Carmelo Pellegrino, Alessandro Pilloni, Ben Raydo, Carl Timmer, Maurizio Ungaro, Simone Vallarino
Current and future experiments at the high intensity frontier are expected to produce an enormous amount of data that needs to be collected and stored for offline analysis. Thanks to the continuous progress in computing and networking technology, it is now possible to replace the standard `triggered' data acquisition systems with a new, simplified and outperforming scheme. `Streaming readout' (SRO) DAQ aims to replace the hardware-based trigger with a much more powerful and flexible software-based one, that considers the whole detector information for efficient real-time data tagging and selection. Considering the crucial role of DAQ in an experiment, validation with on-field tests is required to demonstrate SRO performance. In this paper we report results of the on-beam validation of the Jefferson Lab SRO framework. We exposed different detectors (PbWO-based electromagnetic calorimeters and a plastic scintillator hodoscope) to the Hall-D electron-positron secondary beam and to the Hall-B production electron beam, with increasingly complex experimental conditions. By comparing the data collected with the SRO system against the traditional DAQ, we demonstrate that the SRO performs as expected. Furthermore, we provide evidence of its superiority in implementing sophisticated AI-supported algorithms for real-time data analysis and reconstruction.
High-bandwidth frequency domain multiplexed readout of transition-edge sensors for neutrinoless double beta decay searches
McGill University（麦吉尔大学）；Lawrence Berkeley National Laboratory（劳伦斯伯克利国家实验室）；University of California Berkeley（加州大学伯克利分校）；Virginia Polytechnic Institute and State University（弗吉尼亚理工大学）；Massachusetts Institute of Technology（麻省理工学院）；Argonne National Laboratory（阿贡国家实验室）
Study on Timing Performance of a Readout Circuit for SiPM
近年来，SiPM光电器件在基于飞行时间的正电子发射断层成像（TOF-PET）领域引起了广泛关注。利用它们构造具有良好符合时间分辨率（CTR）的PET探测器一直是研究的热点之一。本文设计了一种基于共基极电流放大器结构的SiPM读出前置放大器，并在前置放大器的基础上引入了零极点（PZ）补偿网络，研究了影响PET探测器时序性能的主要因素。通过实验测量，我们发现CTR与放大器带宽、SiPM偏置电压、比较器阈值以及PZ网络参数有很大关系。测试装置有两个检测器，一个带有与Hamamatsu SiPM（S12642-0404）耦合的LYSO晶体（3 mm 3 mm 10 mm），另一个带有与PMT-R9800耦合的LaBr 3。通过对读出电路的优化设计，得到了两个探测器之间的CTR为266 ps的半高宽。测试结果为下一步读出ASIC芯片的设计提供了指导。
Noise-Tolerant Streaming Real-Time Data Acquisition Fabric for Pulsed Accelerators
已经开发了一种噪声容忍数据通信结构，以满足下一代脉冲加速器（例如Next Linear Collider（“NLC”））处的快速反馈回路、机器保护系统、脉冲到脉冲排序和机器实验通信的实时数据采集和控制要求。该结构由“平台”或“片上系统”现场可编程门阵列（“FPGA”）构成，该FPGA包含嵌入式处理器、块存储器和经由用于标准网络（诸如千兆以太网）的点对点光纤物理链路的阵列互连的多千兆串行收发器。基于FPGA的链路硬件将不同优先级的消息分段为连续的固定长度数据信元序列，用包含较高优先级业务的消息中断较低优先级消息的信元流。通过将每个单元的几乎一半的内容专用于Reed-Solomon前向纠错码（“ECC”）数据来提供高水平的噪声容限。进一步的可靠性是通过硬件实现的算法，逐个细胞的接收确认，接收超时和可调的往返传播延迟后的重传，并为每个优先级单独的背压流量控制。
Edge Machine Learning for Cluster Counting in Next-Generation Drift Chambers
Department of Physics（物理系）；Stanford University（斯坦福大学）；SLAC National Accelerator Laboratory（SLAC国家加速器实验室）；University of Pennsylvania（宾夕法尼亚大学）；University of Michigan（密歇根大学）
Status and prospects of the NEXT experiment for neutrinoless double beta decay searches
NEXT（Neutrino Experiment with a Xenon TPC）是一个实验计划，其目标是在高压氙TPC中使用$^{136}$探测器，通过电致发光读出，发现无中微子双β衰变。在本文中，将报告NEXT-White探测器的结果，该探测器目前正在Canfranc Subterráneo（LSC）采集数据。还将简要讨论计划于2020年开始运行的NEXT-100装置的前景，以及将该技术扩展到充分探索中微子质量逆层次所需的大型和超低背景探测器的计划。
Demonstration of sensitivity increase in mercury free-spin-precession magnetometers due to laser-based readout for neutron electric dipole moment searches
picoMUX: microcontroller based time-domain multiplexing readout for kilopixel TES arrays
Princeton University（普林斯顿大学）；Stockholm University（斯德哥尔摩大学）；National Institute of Standards and Technology（美国国家标准与技术研究院）；Case Western Reserve University（凯斯西储大学）；University of Illinois Urbana-Champaign（伊利诺伊大学厄巴纳-香槟分校）；University of Iceland（冰岛大学）；University of Colorado Boulder（科罗拉多大学博尔德分校）
