Imagen de Portada

Autonomous Pressure Control in MuVacAS via Deep Reinforcement Learning and Deep Learning Surrogate Models

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Rodriguez-Llorente, Guillermo, Gallardo, Galo, Navascués, Rodrigo Morant, Petrovsky, Nikita Khvatkin, Sabogal, Anderson, Martín, Roberto Gómez-Espinosa
Formato:	Preprint
Publicado:	2025
Materias:	Accelerator Physics Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

MuCol Milestone Report No. 5: Preliminary Parameters
por: Accettura, Carlotta, et al.
Publicado: (2024)

MuCol Milestone Report No. 7: Consolidated Parameters
por: Taylor, Rebecca, et al.
Publicado: (2025)

Deep Learning Assisted Modeling for $χ^{(2)}$ Nonlinear Optics
por: Hirschman, Jack, et al.
Publicado: (2025)

Optimizing a Superconducting Radiofrequency Gun Using Deep Reinforcement Learning
por: Meier, David, et al.
Publicado: (2022)

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

Challenges and Optimization of Mu2e Proton Target Design with Radiative Cooling
por: Liu, Z., et al.
Publicado: (2025)

Synchronization and Phase Locking of Resonant Magnet Power Supplies For Mu2e Experiment at Fermilab
por: Hensley, Ryan, et al.
Publicado: (2024)

Enhanced Emittance Evaluation using 2D Transverse Phase Space Distributions, High Resolution Image Denoising, and Deep Learning
por: Osswald, Francis René, et al.
Publicado: (2026)

Real-Time-Capable Betatron Tune Measurement from Schottky Spectra Using Deep Learning and Uncertainty-Aware Kalman Filtering
por: Sun, Peihan, et al.
Publicado: (2025)

Accelerating Cavity Fault Prediction Using Deep Learning at Jefferson Laboratory
por: Rahman, Monibor, et al.
Publicado: (2024)

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

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

Beam-based Identification of Magnetic Field Errors in a Synchrotron using Deep Lie Map Networks
por: Caliari, Conrad, et al.
Publicado: (2024)

Reinforcement Learning for Accelerator Beamline Control: a simulation-based approach
por: Ibrahim, Anwar, et al.
Publicado: (2025)

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

Pressure Spike in The LBNF Absorber Core s Gun Drilled Cooling Channel from an Accident Beam Pulse
por: Deshpande, A., et al.
Publicado: (2024)

Optimizing Dynamic Aperture Studies with Active Learning
por: Di Croce, D., et al.
Publicado: (2024)

Anomaly Detection of Particle Orbit in Accelerator using LSTM Deep Learning Technology
por: Chen, Zhiyuan, et al.
Publicado: (2024)

Neural Networks as Effective Surrogate Models of Radio-Frequency Quadrupole Particle Accelerator Simulations
por: Villarreal, Joshua, et al.
Publicado: (2022)

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

High-Pressure Reinforced Vessel, produced by Additive Manufacturing, to be used as a gas target for the measurement program at n_TOF -- Multiple Argon Experiments (MArEX)
por: Cortis, D., et al.
Publicado: (2026)

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

Hybrid Meta-Learning Framework for Anomaly Forecasting in Nonlinear Dynamical Systems via Physics-Inspired Simulation and Deep Ensembles
por: Bereketoglu, Abdullah Burkan
Publicado: (2025)

Optimization of a Welding Procedure for Making Critical Aluminum Welds on the LBNF Absorber Core Block
por: Anderson, K. E., et al.
Publicado: (2024)

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

Coincident Learning for Beam-based RF Station Fault Identification Using Phase Information at the SLAC Linac Coherent Light Source
por: Liang, Jia, et al.
Publicado: (2025)

Generation of Deep Ultraviolet Optical Vortices via Amplitude and Phase Spiral Zone Plates
por: Dyatlov, A. S., et al.
Publicado: (2025)

Focusing of Relativistic Electron Beams With Permanent Magnetic Solenoid
por: Xu, T., et al.
Publicado: (2025)

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

Design and analysis of a HTS internally cooled cable for the Muon Collider target and capture solenoid magnets
por: Bottura, L., et al.
Publicado: (2024)

Performance of High-Intensity Electron Linacs as Drivers for Compact Neutron Sources
por: Herrador, Javier Olivares, et al.
Publicado: (2025)

Bayesian Optimization Algorithms for Accelerator Physics
por: Roussel, Ryan, et al.
Publicado: (2023)

Autonomous operation of the DIAG0 diagnostic line for 6D phase-space monitoring at LCLS-II
por: Roussel, Ryan, et al.
Publicado: (2026)

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

Energy-saving metric of the isas project (innovate for sustainable accelerating systems)
por: Baylac, M., et al.
Publicado: (2026)

Multi-Objective Bayesian Active Learning for MeV-ultrafast electron diffraction
por: Ji, Fuhao, et al.
Publicado: (2024)

Harnessing Machine Learning for Single-Shot Measurement of Free Electron Laser Pulse Power
por: Korten, Till, 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)

Φ-BETA Ω3: Geometric Unification of pp → PbPb Scales via Pentadic Phase Locking
por: Tibedo, Charles
Publicado: (2026)

The Compact Linear e$^+$e$^-$ Collider (CLIC)
por: Adli, Erik, et al.
Publicado: (2025)