Predicting the transverse emittance of space charge dominated beams using the phase advance scan technique and a fully connected neural network

F Mayet, M Hachmann, K Floettmann, F Burkart… - … Review Accelerators and …, 2022 - APS
The transverse emittance of a charged particle beam is an important figure of merit for many
accelerator applications, such as ultrafast electron diffraction, free electron lasers, and the …

High-power femtosecond soft x rays from fresh-slice multistage free-electron lasers

AA Lutman, MW Guetg, TJ Maxwell, JP MacArthur… - Physical review …, 2018 - APS
We demonstrate a novel multistage amplification scheme for self-amplified spontaneous-
emission free electron lasers for the production of few femtosecond pulses with very high …

X-ray Raman scattering: a building block for nonlinear spectroscopy

N Rohringer - … Transactions of the Royal Society A, 2019 - royalsocietypublishing.org
Ultraintense X-ray free-electron laser pulses of attosecond duration can enable new
nonlinear X-ray spectroscopic techniques to observe coherent electronic motion. The …

Quantitative characterization of bovine serum albumin thin-films using terahertz spectroscopy and machine learning methods

Y Sun, P Du, X Lu, P Xie, Z Qian, S Fan… - Biomedical optics …, 2018 - opg.optica.org
The development of new spectral analysis methods in bio thin-film detection has generated
intense interest in terahertz (THz) spectroscopy and its application in a wide range of fields …

Machine learning-based pulse characterization in figure-eight mode-locked lasers

A Kokhanovskiy, A Bednyakova, E Kuprikov… - Optics Letters, 2019 - opg.optica.org
By combining machine learning methods and the dispersive Fourier transform we
demonstrate, to the best of our knowledge, for the first time the possibility to determine the …

[HTML][HTML] Ultrashort free-electron laser x-ray pulses

W Helml, I Grguraš, PN Juranić, S Düsterer, T Mazza… - Applied Sciences, 2017 - mdpi.com
For the investigation of processes happening on the time scale of the motion of bound
electrons, well-controlled X-ray pulses with durations in the few-femtosecond and even sub …

Injection Optimization at Particle Accelerators via Reinforcement Learning: From Simulation to Real-World Application

A Awal, J Hetzel, R Gebel, J Pretz - arXiv preprint arXiv:2406.12735, 2024 - arxiv.org
Optimizing the injection process in particle accelerators is crucial for enhancing beam
quality and operational efficiency. This paper presents a framework for utilizing …

Machine learning of two-dimensional spectroscopic data

M Rodríguez, T Kramer - Chemical Physics, 2019 - Elsevier
Two-dimensional electronic spectroscopy has become one of the main experimental tools
for analyzing the dynamics of excitonic energy transfer in large molecular complexes …

[HTML][HTML] Simulating macroscopic high-order harmonic generation driven by structured laser beams using artificial intelligence

JM Pablos-Marín, J Serrano… - Computer Physics …, 2023 - Elsevier
Artificial intelligence, and in particular deep learning, is becoming a powerful tool to access
complex simulations in intense ultrafast laser science. One of the most challenging tasks to …

Uncertainty aware machine-learning-based surrogate models for particle accelerators: Study at the Fermilab Booster Accelerator Complex

M Schram, K Rajput, KS NS, P Li, J St. John… - … Review Accelerators and …, 2023 - APS
Standard deep learning methods, such as Ensemble Models, Bayesian Neural Networks,
and Quantile Regression Models provide estimates of prediction uncertainties for data …