Ryan Roussel
University of Chicago
H-index: 9
North America-United States
Top articles of Ryan Roussel
Efficient 6-dimensional phase space reconstruction from experimental measurements using generative machine learning
arXiv preprint arXiv:2404.10853
2024/4/16
Ryan Roussel
H-Index: 3
Young-Kee Kim
H-Index: 5
Multi-Objective Bayesian Active Learning for MeV-ultrafast electron diffraction
arXiv preprint arXiv:2404.02268
2024/4/2
More Sample-Efficient Tuning of Particle Accelerators with Bayesian Optimization and Prior Mean Models
arXiv preprint arXiv:2403.03225
2024/2/28
Ryan Roussel
H-Index: 3
Daniel Ratner
H-Index: 23
Four-Dimensional Phase-Space Reconstruction of Flat and Magnetized Beams Using Neural Networks and Differentiable Simulations
arXiv preprint arXiv:2402.18244
2024/2/28
Young-Kee Kim
H-Index: 5
Ryan Roussel
H-Index: 3
Progress in End-to-End Optimization of Detectors for Fundamental Physics with Differentiable Programming
arXiv preprint arXiv:2310.05673
2023/9/30
Demonstration of autonomous emittance characterization at the argonne wakefield accelerator
Instruments
2023/9/20
Ryan Roussel
H-Index: 3
Phase space reconstruction from accelerator beam measurements using neural networks and differentiable simulations
Physical Review Letters
2023/4/5
Beam shaping using an ultrahigh vacuum multileaf collimator and emittance exchange beamline
Physical Review Accelerators and Beams
2023/2/22
Image Segmentation of Intestinal Polyps using Attention Mechanism based on Convolutional Neural Network
ACS PHOTONICS
2023/2/6
Ultrafast strong-field electron emission and collective effects at a one-dimensional nanostructure
ACS Photonics
2023/2/6
STATUS AND FIRST RESULTS FROM FACET-II TOWARDS THE DEMONSTRATION OF PLASMA WAKEFIELD ACCELERATION, COHERENT RADIATION GENERATION, AND PROBING STRONG-FIELD QED
Proceedings of the 14th International Particle Accelerator Conference
2023
Xopt: A simplified framework for optimization of accelerator problems using advanced algorithms
Proc. IPAC
2023
arXiv: Bayesian Optimization Algorithms for Accelerator Physics
2023/12/9
Bayesian Optimization Algorithms for Accelerator Physics
2023/12/9
Collaboration for Advanced Modeling of Particle Accelerators
2023/11/6
Advanced Modeling of Conventional Particle Accelerators
2023/11/6
arXiv: Progress in End-to-End Optimization of Detectors for Fundamental Physics with Differentiable Programming
2023/9/30
Applications of differentiable physics simulations in particle accelerator modeling
arXiv preprint arXiv:2211.09077
2022/11/16
Ryan Roussel
H-Index: 3
Neural network prior mean for particle accelerator injector tuning
arXiv preprint arXiv:2211.09028
2022/11/16
Ryan Roussel
H-Index: 3
