Imagen de Portada

Reinforcement Learning for Accelerator Beamline Control: a simulation-based approach

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Ibrahim, Anwar, Petrenko, Alexey, Kaledin, Maxim, Suleiman, Ehab, Ratnikov, Fedor, Derkach, Denis
Formato:	Preprint
Publicado:	2025
Materias:	Accelerator Physics Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Optimisation of the Accelerator Control by Reinforcement Learning: A Simulation-Based Approach
por: Ibrahim, Anwar, et al.
Publicado: (2025)

RL-ABC: Reinforcement Learning for Accelerator Beamline Control
por: Ibrahim, Anwar, et al.
Publicado: (2026)

Toward a Fully Autonomous, AI-Native Particle Accelerator
por: Tennant, Chris
Publicado: (2026)

Towards Agentic AI on Particle Accelerators
por: Sulc, Antonin, et al.
Publicado: (2024)

Agentic AI for Multi-Stage Physics Experiments at a Large-Scale User Facility Particle Accelerator
por: Hellert, Thorsten, et al.
Publicado: (2025)

Updates and Lessons Learned from NuMI Beamline at Fermilab
por: Wickremasinghe, D. A. A., et al.
Publicado: (2024)

Synthesizing Particle-in-Cell Simulations Through Learning and GPU Computing for Hybrid Particle Accelerator Beamlines
por: Sandberg, Ryan T., et al.
Publicado: (2024)

Target Multiwire for the Fermilab Booster Neutrino Beamline
por: Prokop, R.
Publicado: (2024)

Beamline Steering Using Deep Learning Models
por: Allen, Dexter, et al.
Publicado: (2024)

Cheetah: Bridging the Gap Between Machine Learning and Particle Accelerator Physics with High-Speed, Differentiable Simulations
por: Kaiser, Jan, et al.
Publicado: (2024)

Offset Finding of Beamline Parameters on the METRIXS Beamline at BESSY II Using Machine Learning
por: Meier, David, et al.
Publicado: (2025)

Beyond PID Controllers: PPO with Neuralized PID Policy for Proton Beam Intensity Control in Mu2e
por: Xu, Chenwei, et al.
Publicado: (2023)

Conic Surfaces and Transformations for X-Ray Beamline Optics Modeling
por: del Rio, Manuel Sanchez, et al.
Publicado: (2024)

Application Of Large Language Models For The Extraction Of Information From Particle Accelerator Technical Documentation
por: Dai, Qing, et al.
Publicado: (2025)

Propagation of a Gaussian Wigner Function Through a Matrix-Aperture Beamline
por: Pogorelov, Ilya V., et al.
Publicado: (2023)

Automated Anomaly Detection on European XFEL Klystrons
por: Sulc, Antonin, et al.
Publicado: (2024)

Femtosecond-Scale MeV-UED Beamline Using a Stand-Alone Multi-Cell RF Photogun
por: Lucas, Thomas Geoffrey, et al.
Publicado: (2025)

Strategy for Bayesian Optimized Beam Steering at TRIUMF-ISAC's MEBT and HEBT Beamlines
por: Hassan, O., et al.
Publicado: (2025)

Dynamic Exclusion of Low-Fidelity Data in Bayesian Optimization for Autonomous Beamline Alignment
por: Narayanan, Megha R., et al.
Publicado: (2024)

A General Bayesian Algorithm for the Autonomous Alignment of Beamlines
por: Morris, T. W., et al.
Publicado: (2024)

AI-Ready Control System for the Fermilab Accelerator Complex
por: Miceli, Tia, et al.
Publicado: (2026)

Large Language Models for Human-Machine Collaborative Particle Accelerator Tuning through Natural Language
por: Kaiser, Jan, et al.
Publicado: (2024)

Machine Learning for Reducing Noise in RF Control Signals at Industrial Accelerators
por: Henderson, M., et al.
Publicado: (2024)

Injection Optimization at Particle Accelerators via Reinforcement Learning: From Simulation to Real-World Application
por: Awal, Awal, et al.
Publicado: (2024)

Optics tuning simulations for FCC-ee using Python Accelerator Toolbox
por: Musa, Elaf, et al.
Publicado: (2024)

Controls Abstraction Towards Accelerator Physics: A Middle Layer Python Package for Particle Accelerator Control
por: King, M., et al.
Publicado: (2025)

AI-Assisted Transport of Radioactive Ion Beams
por: Lopez-Caceres, Sergio, et al.
Publicado: (2025)

Modelling Conduction Cooling of Superconducting Accelerator Magnets using a Thermal Thin Shell Approximation
por: Vancayseele, Emma, et al.
Publicado: (2026)

Evaluating Function-as-a-Service (FaaS) frameworks for the Accelerator Control System
por: Jaikar, A., et al.
Publicado: (2025)

Twinac: A Universal Framework for Virtual Accelerator Controls
por: Miceli, Tia, et al.
Publicado: (2025)

Acceleration of Multi-Scale LTS Magnet Simulations with Neural Network Surrogate Models
por: Denis, Louis, et al.
Publicado: (2025)

Development of a Proton Therapy Research Beamline with FLASH and Minibeam Capabilities at the 18 MeV Bern Medical Cyclotron
por: Kasanda, Eva, et al.
Publicado: (2026)

A flexible start-to-end simulation framework for particle accelerators based on a comprehensive lattice description
por: Brynes, A. D., et al.
Publicado: (2026)

Acceleration and Focusing Electron/Positron Bunches in Plasma-Dielectric Wakefield Accelerator
por: Sotnikov, Gennadiy V., et al.
Publicado: (2024)

Characteristics of electromagnetic radiation and the interference protection on a small-sized direct-acting electron accelerator with a plasma opening switch
por: Vinnikov, D. V., et al.
Publicado: (2025)

Superconducting Accelerator Magnets
por: Sanfilippo, Stephane
Publicado: (2026)

Conventional Accelerator Magnets
por: Sanfilippo, Stephane
Publicado: (2026)

Instabilities in Linear Accelerators
por: Ferrario, Massimo, et al.
Publicado: (2025)

Acceleration of a Positron Bunch in a Hollow Channel Plasma
por: Gessner, Spencer, et al.
Publicado: (2023)

Controlled Injection in a Laser Plasma Accelerator via an Optically Generated Waveguide Constriction
por: Shalloo, R. J., et al.
Publicado: (2024)