Cheetah: Bridging the Gap Between Machine Learning and Particle Accelerator Physics with High-Speed, Differentiable Simulations
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Kaiser, Jan, Xu, Chenran, Eichler, Annika, Garcia, Andrea Santamaria |
|---|---|
| Format: | Preprint |
| Publié: |
2024
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
Large Language Models for Human-Machine Collaborative Particle Accelerator Tuning through Natural Language
par: Kaiser, Jan, et autres
Publié: (2024)
par: Kaiser, Jan, et autres
Publié: (2024)
Automated Anomaly Detection on European XFEL Klystrons
par: Sulc, Antonin, et autres
Publié: (2024)
par: Sulc, Antonin, et autres
Publié: (2024)
Towards Agentic AI on Particle Accelerators
par: Sulc, Antonin, et autres
Publié: (2024)
par: Sulc, Antonin, et autres
Publié: (2024)
Agentic AI for Multi-Stage Physics Experiments at a Large-Scale User Facility Particle Accelerator
par: Hellert, Thorsten, et autres
Publié: (2025)
par: Hellert, Thorsten, et autres
Publié: (2025)
Toward a Fully Autonomous, AI-Native Particle Accelerator
par: Tennant, Chris
Publié: (2026)
par: Tennant, Chris
Publié: (2026)
Bayesian Optimization Algorithms for Accelerator Physics
par: Roussel, Ryan, et autres
Publié: (2023)
par: Roussel, Ryan, et autres
Publié: (2023)
Bridging the Gap Between Modern UX Design and Particle Accelerator Control Room Interfaces
par: Hill, Rachael, et autres
Publié: (2025)
par: Hill, Rachael, et autres
Publié: (2025)
Reinforcement Learning for Accelerator Beamline Control: a simulation-based approach
par: Ibrahim, Anwar, et autres
Publié: (2025)
par: Ibrahim, Anwar, et autres
Publié: (2025)
Application Of Large Language Models For The Extraction Of Information From Particle Accelerator Technical Documentation
par: Dai, Qing, et autres
Publié: (2025)
par: Dai, Qing, et autres
Publié: (2025)
Injection Optimization at Particle Accelerators via Reinforcement Learning: From Simulation to Real-World Application
par: Awal, Awal, et autres
Publié: (2024)
par: Awal, Awal, et autres
Publié: (2024)
Microsecond-Latency Feedback at a Particle Accelerator by Online Reinforcement Learning on Hardware
par: Scomparin, Luca, et autres
Publié: (2024)
par: Scomparin, Luca, et autres
Publié: (2024)
Estimation of superconducting cavity bandwidth and detuning using a Luenberger observer
par: Richter, Bozo, et autres
Publié: (2025)
par: Richter, Bozo, et autres
Publié: (2025)
Synthesizing Particle-in-Cell Simulations Through Learning and GPU Computing for Hybrid Particle Accelerator Beamlines
par: Sandberg, Ryan T., et autres
Publié: (2024)
par: Sandberg, Ryan T., et autres
Publié: (2024)
Controls Abstraction Towards Accelerator Physics: A Middle Layer Python Package for Particle Accelerator Control
par: King, M., et autres
Publié: (2025)
par: King, M., et autres
Publié: (2025)
Higher-Order Automatic Differentiation Using Symbolic Differential Algebra: Bridging the Gap between Algorithmic and Symbolic Differentiation
par: Zhang, He
Publié: (2025)
par: Zhang, He
Publié: (2025)
Dominance of Particle Resonances over Parametric Instabilities in High-Intensity Linear Accelerators
par: Jeon, Dong-O, et autres
Publié: (2024)
par: Jeon, Dong-O, et autres
Publié: (2024)
Particle Accelerator Physics
par: Wiedemann, Helmut
Publié: (2019)
par: Wiedemann, Helmut
Publié: (2019)
Beyond PID Controllers: PPO with Neuralized PID Policy for Proton Beam Intensity Control in Mu2e
par: Xu, Chenwei, et autres
Publié: (2023)
par: Xu, Chenwei, et autres
Publié: (2023)
German Beams -- The Story of Particle Accelerators in Germany
par: Ziemann, Volker
Publié: (2024)
par: Ziemann, Volker
Publié: (2024)
Leveraging Prior Mean Models for Faster Bayesian Optimization of Particle Accelerators
par: Boltz, Tobias, et autres
Publié: (2024)
par: Boltz, Tobias, et autres
Publié: (2024)
Machine Learning for Reducing Noise in RF Control Signals at Industrial Accelerators
par: Henderson, M., et autres
Publié: (2024)
par: Henderson, M., et autres
Publié: (2024)
Applications of Particle Accelerators
par: Sheehy, Suzie
Publié: (2024)
par: Sheehy, Suzie
Publié: (2024)
Conditional Guided Generative Diffusion for Particle Accelerator Beam Diagnostics
par: Scheinker, Alexander
Publié: (2024)
par: Scheinker, Alexander
Publié: (2024)
Neural Networks as Effective Surrogate Models of Radio-Frequency Quadrupole Particle Accelerator Simulations
par: Villarreal, Joshua, et autres
Publié: (2022)
par: Villarreal, Joshua, et autres
Publié: (2022)
AI-Assisted Transport of Radioactive Ion Beams
par: Lopez-Caceres, Sergio, et autres
Publié: (2025)
par: Lopez-Caceres, Sergio, et autres
Publié: (2025)
Plasma Accelerator For Decaying Particles
par: Badiali, Chiara, et autres
Publié: (2025)
par: Badiali, Chiara, et autres
Publié: (2025)
Harnessing the Power of Gradient-Based Simulations for Multi-Objective Optimization in Particle Accelerators
par: Rajput, Kishansingh, et autres
Publié: (2024)
par: Rajput, Kishansingh, et autres
Publié: (2024)
A Scattered-Field Formulation for Coupled Geometric Wakefield and Space Charge Field Simulations in Particle Accelerators
par: Christ, J., et autres
Publié: (2026)
par: Christ, J., et autres
Publié: (2026)
Integration of Machine Learning-Based Plasma Acceleration Simulations into Geant4: A Case Study with the PALLAS Experiment
par: Sytov, A., et autres
Publié: (2025)
par: Sytov, A., et autres
Publié: (2025)
Long Short-Term Memory Networks for Anomaly Detection in Magnet Power Supplies of Particle Accelerators
par: Lobach, Ihar, et autres
Publié: (2024)
par: Lobach, Ihar, et autres
Publié: (2024)
Machine-State Embeddings as an Operational Coordinate System for Accelerator Operation
par: Tennant, Chris, et autres
Publié: (2026)
par: Tennant, Chris, et autres
Publié: (2026)
From Concept to Reality: Additive Manufacturing in Particle Accelerator and Storage Ring R&D at GSI and for FAIR
par: Zhang, Chuan, et autres
Publié: (2025)
par: Zhang, Chuan, et autres
Publié: (2025)
Contribution of ALEGRO to the Update of the European Strategy on Particle Physics
par: Cros, B., et autres
Publié: (2025)
par: Cros, B., et autres
Publié: (2025)
Bridging Metal Additive Manufacturing and RF Accelerator Design: Development of a 704.4 MHz Crossbar H-Mode Linac for Efficient Beam Acceleration
par: Zhang, Chuan, et autres
Publié: (2026)
par: Zhang, Chuan, et autres
Publié: (2026)
High Intensity for Accelerator Driven Systems (ADS)
par: Dorda, Ulrich
Publié: (2026)
par: Dorda, Ulrich
Publié: (2026)
Acceleration of Multi-Scale LTS Magnet Simulations with Neural Network Surrogate Models
par: Denis, Louis, et autres
Publié: (2025)
par: Denis, Louis, et autres
Publié: (2025)
Optimisation of the Accelerator Control by Reinforcement Learning: A Simulation-Based Approach
par: Ibrahim, Anwar, et autres
Publié: (2025)
par: Ibrahim, Anwar, et autres
Publié: (2025)
Robust Errant Beam Prognostics with Conditional Modeling for Particle Accelerators
par: Rajput, Kishansingh, et autres
Publié: (2023)
par: Rajput, Kishansingh, et autres
Publié: (2023)
Geoff: The Generic Optimization Framework & Frontend for Particle Accelerator Controls
par: Madysa, Penelope, et autres
Publié: (2025)
par: Madysa, Penelope, et autres
Publié: (2025)
Modelling Tritium Production and Release at High-Energy Proton Accelerators
par: Georgobiani, Dali, et autres
Publié: (2025)
par: Georgobiani, Dali, et autres
Publié: (2025)
Documents similaires
-
Large Language Models for Human-Machine Collaborative Particle Accelerator Tuning through Natural Language
par: Kaiser, Jan, et autres
Publié: (2024) -
Automated Anomaly Detection on European XFEL Klystrons
par: Sulc, Antonin, et autres
Publié: (2024) -
Towards Agentic AI on Particle Accelerators
par: Sulc, Antonin, et autres
Publié: (2024) -
Agentic AI for Multi-Stage Physics Experiments at a Large-Scale User Facility Particle Accelerator
par: Hellert, Thorsten, et autres
Publié: (2025) -
Toward a Fully Autonomous, AI-Native Particle Accelerator
par: Tennant, Chris
Publié: (2026)