Nikita Kuklev

ORCID: 0000-0002-4116-2837
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About
Contact & Profiles
Research Areas
  • Particle Accelerators and Free-Electron Lasers
  • Advanced Multi-Objective Optimization Algorithms
  • Particle accelerators and beam dynamics
  • Electric Motor Design and Analysis
  • Gyrotron and Vacuum Electronics Research
  • Radiomics and Machine Learning in Medical Imaging
  • Medical Imaging Techniques and Applications
  • Advanced X-ray Imaging Techniques
  • Superconducting Materials and Applications
  • Magnetic Properties and Applications
  • Advanced X-ray and CT Imaging

Argonne National Laboratory
2022-2024

SLAC National Accelerator Laboratory
2022

Accelerator physics relies on numerical algorithms to solve optimization problems in online accelerator control and tasks such as experimental design model calibration simulations. The effectiveness of discovering ideal solutions for complex challenges with limited resources often determines the problem complexity these methods can address. community has recognized advantages Bayesian algorithms, which leverage statistical surrogate models objective functions effectively address challenges,...

10.1103/physrevaccelbeams.27.084801 article EN cc-by Physical Review Accelerators and Beams 2024-08-06

Future improvements in particle accelerator performance are predicated on increasingly accurate online modeling of accelerators. Hysteresis effects magnetic, mechanical, and material components accelerators often neglected models used to inform control algorithms, even though reproducibility errors from systems exhibiting hysteresis not negligible high precision In this Letter, we combine the classical Preisach model with machine learning techniques efficiently create nonparametric,...

10.1103/physrevlett.128.204801 article EN Physical Review Letters 2022-05-17

Accelerator physics relies on numerical algorithms to solve optimization problems in online accelerator control and tasks such as experimental design model calibration simulations. The effectiveness of discovering ideal solutions for complex challenges with limited resources often determines the problem complexity these methods can address. community has recognized advantages Bayesian algorithms, which leverage statistical surrogate models objective functions effectively address challenges,...

10.48550/arxiv.2312.05667 preprint EN other-oa arXiv (Cornell University) 2023-01-01

Abstract We report on measurements of beams from thermionic cathode (TC) rf guns in the Advanced Photon Source S-Band Linac. These include macropulse out both new and existing TC as well observation microbunching within micropulses these beams. A gun chopper limits FWHM duration to 10-ns range. Our objectives were analyse investigate a TC-rf-gun-generated beam. diagnostics elucidated longitudinal beam structures ns fs time scales. Coherent transition radiation (CTR) interferometers...

10.1088/1742-6596/2681/1/012009 article EN Journal of Physics Conference Series 2024-01-01
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