2022 Accelerator R&D and Artificial Intelligence/Machine Learning Principal Investigator Exchange Meetings
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2022 Accelerator R&D Principal Investigator Exchange Meeting |
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Principal Inv. |
Institution |
R&D Area |
Presentation Title |
Speaker |
| DOE NP | NP Accelerator R&D and AI/ML Principal Investigators Exchange Meeting | Farkhondeh | ||
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Stutzman, Marcy |
TJNAF |
Polarized Sources |
Using improved growth techniques such as CBE to grow high polarization strained superlattice GaAs/GaAsP photocathodes, including those with Distributed Bragg Reflector structure |
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Bazarov, Ivan |
Cornell Univ. |
Electron Sources |
High current sources for spin polarized and un-polarized electron beams |
Andorf / |
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Poelker, Matthew Wang, Erdong |
TJNAF BNL |
Polarized Sources |
Photocathodes with 90% polarization and QE greater than 1% for DOE NP |
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Ringle, Ryan |
MSU |
Gas Stoppers |
Gas Stopper Developments for Improved Purity and Intensity of Low-Energy, Rare Isotope Ion Beams |
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Kelly, Michael Kutsaev, Sergey Posen, Sam |
ANL RadiaBeam FNAL |
SRF |
Development of Practical Niobium-Tin Cavities for Ion Linacs |
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Hernandez-Garcia, Carlos |
TJNAF |
Electron Source |
High Voltage Insulators and Electrodes for 500 kV DC High Voltage Photogun with Inverted Insulator Design |
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Litvinenko, Vladimir Yakovlev, Vyacheslav Poelker, Matthew Jing, Yichao |
SUNY FNAL TJNAF BNL |
SRF Electron Sources |
Superconducting RF electron gun |
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Powers, Tom Doleans, Marc |
TJNAF ORNL |
SRF |
In Situ Plasma Processing of Superconducting Cavities |
Powers |
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22022 Artificial Intelligence/Machine Learning |
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| Mantica | DOE NP | Introductory Remarks | Mantica | |
| DOE NP | NP supported Accelerator R&D | Farkhondeh | ||
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Lawrence, David |
TJNAF |
AI/ML Detectors |
A.I. Assisted Experiment Control and Calibration |
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Tennant, Christopher |
TJNAF |
AI/ML Accelerator |
AI for Improved SRF Operation at CEBAF |
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Mustapha, Brahim |
ANL |
Al/ML Accelerator |
Use of AI to Optimize Accelerator Operations & Improve Machine Performance |
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Liu, Ming Xiong Roland, Gunther Yu, Dantong Tran, Nhan |
LANL MIT
NJIT FNAL |
Detectors | Intelligent experiments through real-time AI: Fast Data Processing and Autonomous Detector Control for sPHENIX and future EIC detectors | Liu |
| Gruszko, Julieta | UNC | Detectors | Deep Learning for Germanium-Based Neutrinoless Double Beta Decay Searches | Gruszko |
| Crawford, Heather | LBNL-88 inch | Accelerator | Machine Learning Optimization Upstream and Downstream of the Accelerator: The Cases of VENUS and GRETA | Crawford |
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Arratia, Miguel Nachman, Benjamin Angerami, Aaron |
UC, Riverside LBNL
LLNL |
Detectors | AI-driven detector design for the EIC | Arratia |
| Hoffman, Calem | ANL- ATLAS | Accelerator | Autonomous Optimization of the Secondary Beam Production and Delivery at the ATLAS In-Flight Facility | Hoffman |
| Carpenter, Michael | ANL-ATLAS | Detectors | Modern Data Analytics for the Large Gamma-Ray Spectrometers: GRETINA/GRETA and Gammasphere via Machine Learning and Optimization | Carpenter |
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