Bulletin of the American Physical Society
6th Joint Meeting of the APS Division of Nuclear Physics and the Physical Society of Japan
Sunday–Friday, November 26–December 1 2023; Hawaii, the Big Island
Session 1WFA: AI in Nuclear Physics Experiments IInvited Workshop
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Chair: Aobo Li, University of North Carolina at Chapel H Room: Hilton Waikoloa Village Queens 5 |
Sunday, November 26, 2023 9:00AM - 9:30AM |
1WFA.00001: Machine Learning for Ge-Based Neutrinoless Double-Beta Decay Searches Invited Speaker: Julieta Gruszko The discovery of the lepton-number-violating neutrinoless double-beta decay would determine the Majorana or Dirac nature of neutrinos, indicate the origin of neutrino mass, and provide a path to leptogenesis in the early universe. 76Ge-based searches using High-Purity Germanium (HPGe) detectors have proven to be very successful in searching for this ultra-rare decay, with previous-generation experiments the MAJORANA DEMONSTRATOR (MJD) and GERDA demonstrating the best energy resolution and lowest backgrounds in the field, respectively. This program is rapidly advancing, with LEGEND-200 now taking data, and LEGEND-1000, the proposed the ton-scale phase of the LEGEND program, under design. The low-background requirements of these experiments and well-understood signal formation microphysics in HPGe detectors lead to unique challenges in designing machine learning-based approaches to data analysis, and have led to the development of novel highly-interpretable methods. I'll discuss successful preliminary deployments of machine learning-based analyses in MJD and GERDA, methods that have been developed for LEGEND-200 commissioning and data-taking, and the ongoing research on new methods for LEGEND-1000. |
Sunday, November 26, 2023 9:30AM - 10:00AM |
1WFA.00002: AI in The NEXT Experiment Invited Speaker: Corey Adams AI has become a state-of-the-art tool for new physics searches in a broad collection of experiments. In the search for neutrinoless double beta decay, AI impacts candidate event selection and background rejection with a focus on ensuring close agreement between simulation and data. In the NEXT experiment, the addition of high-resolution 3D tracking data with precision energy and a low background detector enables an AI-development platform for fundamental physics that is unparalleled in competing experiments. In this talk, we will present the latest developments of AI applications to the NEXT neutrinoless double beta decay experiment. |
Sunday, November 26, 2023 10:00AM - 10:30AM |
1WFA.00003: AI in Streaming DAQ Invited Speaker: Jin Huang Streaming Readout has been adopted as the paradigm of data acquisition (DAQ) at many major nuclear physics experiments at LHC, RHIC, and the future EIC. Distinct from the traditionally triggered readout, streaming DAQs rely on modern digital data processing for large factors of data reduction, which opens unique opportunities for the application of AI/ML that is high throughput, low latency, energy-efficient, and reliable. In this talk, we will discuss an array of AI/ML applications for Streaming DAQs on the platforms of ASICs, FPGAs, and novel AI accelerators. |
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