All Publications


  • Bayesian optimization algorithms for accelerator physics PHYSICAL REVIEW ACCELERATORS AND BEAMS Roussel, R., Edelen, A. L., Boltz, T., Kennedy, D., Zhang, Z., Ji, F., Huang, X., Ratner, D., Garcia, A., Xu, C., Kaiser, J., Pousa, A., Eichler, A., Luebsen, J. O., Isenberg, N. M., Gao, Y., Kuklev, N., Martinez, J., Mustapha, B., Kain, V., Mayes, C., Lin, W., Liuzzo, S., John, J., Streeter, M. V., Lehe, R., Neiswanger, W. 2024; 27 (8)
  • Advanced storage ring lattice options based on hybrid six-bend achromat for Stanford Synchrotron Radiation Lightsource upgrade NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT Raimondi, P., Huang, X., Kim, J., Safranek, J., Rabedeau, T. 2024; 1061
  • Machine Learning for Design and Control of Particle Accelerators: A Look Backward and Forward ANNUAL REVIEW OF NUCLEAR AND PARTICLE SCIENCE Edelen, A., Huang, X. 2024; 74: 557-581
  • Correction of storage ring optics with an improved closed-orbit modulation method PHYSICAL REVIEW ACCELERATORS AND BEAMS Huang, X., Yang, X. 2023; 26 (5)
  • Exploring the Ultrafast Charge-Transfer and Redox Dynamics in Layered Transition Metal Oxides CONDENSED MATTER Qian, G., Huang, X., Lee, J., Pianetta, P., Liu, Y. 2023; 8 (1)
  • Optimization method to compensate accelerator performance drifts PHYSICAL REVIEW A Zhang, Z., Song, M., Huang, X. 2022; 106 (6)
  • Case of equilibrium beam distribution dependence on storage ring nonlinearity PHYSICAL REVIEW ACCELERATORS AND BEAMS Tang, J., Huang, X. 2022; 25 (7)
  • Autoresonant excitation of nonlinear beam motion in storage rings PHYSICAL REVIEW ACCELERATORS AND BEAMS Song, M., Spentzouris, L., Huang, X., Safranek, J. 2022; 25 (7)
  • Simultaneous beam-based alignment measurement for multiple magnets by correcting induced orbit shift PHYSICAL REVIEW ACCELERATORS AND BEAMS Huang, X. 2022; 25 (5)
  • Toward fully automated UED operation using two-stage machine learning model SCIENTIFIC REPORTS Zhang, Z., Yang, X., Huang, X., Shaftan, T., Smaluk, V., Song, M., Wan, W., Wu, L., Zhu, Y. 2022; 12 (1)
  • Teeport: Break the Wall Between the Optimization Algorithms and Problems FRONTIERS IN BIG DATA Zhang, Z., Huang, X., Song, M. 2021; 4: 734650

    Abstract

    Optimization algorithms/techniques such as genetic algorithm, particle swarm optimization, and Gaussian process have been widely used in the accelerator field to tackle complex design/online optimization problems. However, connecting the algorithm with the optimization problem can be difficult, as the algorithms and the problems may be implemented in different languages, or they may require specific resources. We introduce an optimization platform named Teeport that is developed to address the above issues. This real-time communication-based platform is designed to minimize the effort of integrating the algorithms and problems. Once integrated, the users are granted a rich feature set, such as monitoring, controlling, and benchmarking. Some real-life applications of the platform are also discussed.

    View details for DOI 10.3389/fdata.2021.734650

    View details for Web of Science ID 000725614900001

    View details for PubMedID 34870190

    View details for PubMedCentralID PMC8636989

  • Machine-and-data intelligence for synchrotron science NATURE REVIEWS PHYSICS Li, J., Huang, X., Pianetta, P., Liu, Y. 2021
  • Accurate prediction of mega-electron-volt electron beam properties from UED using machine learning SCIENTIFIC REPORTS Zhang, Z., Yang, X., Huang, X., Li, J., Shaftan, T., Smaluk, V., Song, M., Wan, W., Wu, L., Zhu, Y. 2021; 11 (1): 13890

    Abstract

    To harness the full potential of the ultrafast electron diffraction (UED) and microscopy (UEM), we must know accurately the electron beam properties, such as emittance, energy spread, spatial-pointing jitter, and shot-to-shot energy fluctuation. Owing to the inherent fluctuations in UED/UEM instruments, obtaining such detailed knowledge requires real-time characterization of the beam properties for each electron bunch. While diagnostics of these properties exist, they are often invasive, and many of them cannot operate at a high repetition rate. Here, we present a technique to overcome such limitations. Employing a machine learning (ML) strategy, we can accurately predict electron beam properties for every shot using only parameters that are easily recorded at high repetition rate by the detector while the experiments are ongoing, by training a model on a small set of fully diagnosed bunches. Applying ML as real-time noninvasive diagnostics could enable some new capabilities, e.g., online optimization of the long-term stability and fine single-shot quality of the electron beam, filtering the events and making online corrections of the data for time-resolved UED, otherwise impossible. This opens the possibility of fully realizing the potential of high repetition rate UED and UEM for life science and condensed matter physics applications.

    View details for DOI 10.1038/s41598-021-93341-2

    View details for Web of Science ID 000672717300001

    View details for PubMedID 34230561

    View details for PubMedCentralID PMC8260651

  • Online accelerator optimization with a machine learning-based stochastic algorithm MACHINE LEARNING-SCIENCE AND TECHNOLOGY Zhang, Z., Song, M., Huang, X. 2021; 2 (1)
  • Storage ring nonlinear dynamics optimization with multi-objective multi-generation Gaussian process optimizer NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT Song, M., Huang, X., Spentzouris, L., Zhang, Z. 2020; 976
  • Comprehensive comparison of two tracking codes for single-particle dynamics evaluation of a next-generation storage ring light source PHYSICAL REVIEW ACCELERATORS AND BEAMS Borland, M., Sun, Y., Huang, X. 2019; 22 (11)
  • Beam dynamics issues for the two-frequency crab cavity short pulse scheme PHYSICAL REVIEW ACCELERATORS AND BEAMS Huang, X., Hettel, B., Rabedeau, T., Safranek, J., Sebek, J., Tian, K., Wootton, K. P., Zholents, A. 2019; 22 (9)
  • Robust simplex algorithm for online optimization PHYSICAL REVIEW ACCELERATORS AND BEAMS Huang, X. 2018; 21 (10)
  • Linear optics correction for linacs and free electron lasers PHYSICAL REVIEW ACCELERATORS AND BEAMS Zhang, T., Huang, X., Maxwell, T. 2018; 21 (9)
  • Off-axis injection for storage rings with full coupling PHYSICAL REVIEW ACCELERATORS AND BEAMS Zhang, T., Huang, X. 2018; 21 (8)
  • Minimization of Betatron Oscillations of Electron Beam Injected Into a Time-Varying Lattice via Extremum Seeking IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY Scheinker, A., Huang, X., Wu, J. 2018; 26 (1): 336-343
  • Multi-dimensional optimization of a terawatt seeded tapered Free Electron Laser with a Multi-Objective Genetic Algorithm NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT Wu, J., Hu, N., Setiawan, H., Huang, X., Raubenheimer, T. O., Jiao, Y., Yu, G., Mandlekar, A., Spampinati, S., Fang, K., Chu, C., Qiang, J. 2017; 846: 56-63
  • A method for simultaneous linear optics and coupling correction for storage rings with turn-by-turn beam position monitor data NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT Yang, X., Huang, X. 2016; 828: 97-104
  • Coupled beam motion in a storage ring with crab cavities PHYSICAL REVIEW ACCELERATORS AND BEAMS Huang, X. 2016; 19 (2)
  • Feasibility study of online tuning of the luminosity in a circular collider with the robust conjugate direction search method CHINESE PHYSICS C Ji Hong-Fei, Jiao Yi, Wang Sheng, Ji Da-Heng, Yu Cheng-Hui, Zhang Yuan, Huang Xiao-Biao 2015; 39 (12)
  • Online optimization of storage ring nonlinear beam dynamics PHYSICAL REVIEW SPECIAL TOPICS-ACCELERATORS AND BEAMS Huang, X., Safranek, J. 2015; 18 (8)
  • An ultimate storage ring lattice with vertical emittance generated by damping wigglers NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT Huang, X. 2015; 777: 118-122
  • Generation of picosecond electron bunches in storage rings JOURNAL OF SYNCHROTRON RADIATION Huang, X., Rabedeau, T., Safranek, J. 2014; 21: 961-967

    Abstract

    Approaches to generating short X-ray pulses in synchrotron light sources are discussed. In particular, the method of using a superconducting harmonic cavity to generate simultaneously long and short bunches in storage rings and the approach of injecting short bunches from a linac injector into a storage ring for multi-turn circulation are emphasized. If multi-cell superconducting RF (SRF) cavities with frequencies of ∼1.5 GHz can be employed in storage rings, it would be possible to generate stable, high-flux, short-pulse X-ray beams with pulse lengths of 1-10 ps (FWHM) in present or future storage rings. However, substantial challenges exist in adapting today's high-gradient SRF cavities for high-current storage ring operation. Another approach to generating short X-ray pulses in a storage ring is injecting short-pulse electron bunches from a high-repetition-rate linac injector for circulation. Its performance is limited by the microbunching instability due to coherent synchrotron radiation. Tracking studies are carried out to evaluate its performance. Challenges and operational considerations for this mode are considered.

    View details for DOI 10.1107/S1600577514010509

    View details for Web of Science ID 000341687000010

    View details for PubMedID 25177984

  • Nonlinear dynamics optimization with particle swarm and genetic algorithms for SPEAR3 emittance upgrade NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT Huang, X., Safranek, J. 2014; 757: 48-53
  • An algorithm for online optimization of accelerators NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT Huang, X., Corbett, J., Safranek, J., Wu, J. 2013; 726: 77-83
  • Lattice design and optimization for the PEP-X ultra low emittance storage ring at SLAC NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT Wang, M., Nosochkov, Y., Bane, K., Cai, Y., Hettel, R., Huang, X. 2011; 649 (1): 30-34
  • Tracking study for top-off safety validation at SSRL NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT Huang, X., Bauer, J., Corbett, J., Dell'Orco, D., Hettel, B., Liu, J., Rabedeau, T., Safranek, J., Schmerge, J., Sebek, J., Tanabe, J., Terebilo, A., Wang, L. 2011; 635 (1): 13-19
  • Measurement of beam lifetime and applications for SPEAR3 NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT Huang, X., Corbett, J. 2011; 629 (1): 31-36
  • Lattice modeling and calibration with turn-by-turn orbit data PHYSICAL REVIEW SPECIAL TOPICS-ACCELERATORS AND BEAMS Huang, X., Sebek, J., Martin, D. 2010; 13 (11)
  • Low alpha mode for SPEAR3 Huang, X., Safranek, J., Corbett, J., Nosochkov, Y., Sebek, J., Terebilo, A., IEEE IEEE. 2007: 3507-3509
  • Simulation of ultra-short pulses in a storage ring Huang, X., IEEE IEEE. 2007: 3504-3506
  • A new code for Orbit Response Matrix analysis Yang, L., Lee, S. Y., Huang, X., Podobedov, B., IEEE IEEE. 2007: 2550-+
  • Matrix formalism of synchrobetatron coupling PHYSICAL REVIEW SPECIAL TOPICS-ACCELERATORS AND BEAMS Huang, X. 2007; 10 (1)