Bulletin of the American Physical Society
APS April Meeting 2020
Volume 65, Number 2
Saturday–Tuesday, April 18–21, 2020; Washington D.C.
Session X02: Advances in Instrumentation and Detectors for Particle PhysicsInvited Live
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Sponsoring Units: DPF Chair: Roger Rusack, University of Minnesota Room: Washington 1 |
Tuesday, April 21, 2020 10:45AM - 11:21AM Live |
X02.00001: ProtoDUNE. The how and the why. Invited Speaker: Laura Manenti If you want to build a skyscraper, learn how to build a house first. DUNE is a long-baseline neutrino experiment which aims at studying neutrino oscillations. The DUNE far detector will consist of four modules, each using liquid argon time-projection-chamber (TPC) technology and holding around 14,000 tonnes of the noble liquid. To test the technology, its scalability, and gain expertise, two prototypes, called Single-Phase (SP) and Dual-Phase (DP) ProtoDUNEs, have been constructed at CERN. The SP detector has been operating since October 2018 and managed to take data using a dedicated charged-particle test beamline provided by the CERN Neutrino Platform. The DP TPC began operating in July 2019 and is currently taking data using cosmic tracks. In my talk, I will briefly explain how a single- and a dual-phase liquid argon TPC work. I will describe the challenges and achievements of the two ProtoDUNEs, with specific reference the installation, the cryogenic system, the high voltage feedthrough, the purity and temperature monitoring etc. I will then present the future plan of the detectors so that, hopefully, by the end of the talk, you will have learnt how building and operating these prototypes has helped us to pave the way to a smoother construction of the DUNE far detectors. [Preview Abstract] |
Tuesday, April 21, 2020 11:21AM - 11:57AM Live |
X02.00002: Modern AI Tools for Event Reconstruction Invited Speaker: Lindsey Gray Machine Learning is a powerful technology with a storied and successful history in high energy physics, having played a major role in the discovery and characterization of the Higgs Boson. Modern advances in machine learning provide novel ways to use detector data, which simplify the development of pattern recognition algorithms, while taking advantage of finer granularity and precision timing of modern, and future high energy physics detectors. I will introduce machine learning in the context of its history within high energy physics, and then demonstrate modern explorations in machine learning that exploit the capabilities of next generation detectors for the HL-LHC. [Preview Abstract] |
Tuesday, April 21, 2020 11:57AM - 12:33PM Not Participating |
X02.00003: Discovery in the Fourth Dimension: Precision Timing in Particle Physics Invited Speaker: Frank Golf Particle physics experiments are facing ever more challenging conditions. Detectors providing a precise time information can be a power tool for background mitigation. I will go over some precision timing detectors being developed for the next generation of particle physics experiments and prospects and challenges for precision timing in future experiments. [Preview Abstract] |
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