TY - CONF AU - Edelen, J.P. AU - Abell, D.T. AU - Brown, K.A. AU - Bruhwiler, D.L. AU - Calder, S. AU - Coleman, S.J. AU - Cook, N.M. AU - Diaw, A. AU - Edelen, A.L. AU - Einstein-Curtis, J.A. AU - Hall, C.C. AU - Hoffmann, C.M. AU - Huang, E.-C. AU - Kilpatrick, M.C. AU - Nash, B. AU - O’Shea, B.D. AU - Piot, P. AU - Pogorelov, I.V. AU - Roussel, R.J. AU - Tennant, C. ED - Biedron, Sandra ED - Simakov, Evgenya ED - Milton, Stephen ED - Anisimov, Petr M. ED - Schaa, Volker R.W. TI - Facilitating Machine Learning Collaborations Between Labs, Universities, and Industry J2 - Proc. of NAPAC2022, Albuquerque, NM, USA, 07-12 August 2022 CY - Albuquerque, NM, USA T2 - International Particle Accelerator Conference T3 - 5 LA - english AB - It is clear from numerous recent community reports, papers, and proposals that machine learning is of tremendous interest for particle accelerator applications. The quickly evolving landscape continues to grow in both the breadth and depth of applications including physics modeling, anomaly detection, controls, diagnostics, and analysis. Consequently, laboratories, universities, and companies across the globe have established dedicated machine learning (ML) and data-science efforts aiming to make use of these new state-of-the-art tools. The current funding environment in the U.S. is structured in a way that supports specific application spaces rather than larger collaboration on community software. Here, we discuss the existing collaboration bottlenecks and how a shift in the funding environment, and how we develop collaborative tools, can help fuel the next wave of ML advancements for particle accelerators. PB - JACoW Publishing CP - Geneva, Switzerland SP - 164 EP - 169 KW - controls KW - simulation KW - software KW - operation KW - framework DA - 2022/10 PY - 2022 SN - 2673-7000 SN - 978-3-95450-232-5 DO - doi:10.18429/JACoW-NAPAC2022-MOPA55 UR - https://jacow.org/napac2022/papers/mopa55.pdf ER - TY - CONF AU - Ruisard, K.J. AU - Aleksandrov, A.V. AU - Cousineau, S.M. AU - Hoover, A.M. AU - Zhukov, A.P. ED - Biedron, Sandra ED - Simakov, Evgenya ED - Milton, Stephen ED - Anisimov, Petr M. ED - Schaa, Volker R.W. TI - Model/Measurement Comparison of the Transverse Phase Space Distribution of an RFQ-Generated Bunch at the SNS BTF J2 - Proc. of NAPAC2022, Albuquerque, NM, USA, 07-12 August 2022 CY - Albuquerque, NM, USA T2 - International Particle Accelerator Conference T3 - 5 LA - english AB - The research program at the SNS Beam Test Facility is focused on resolving observed model/measurement discrepancies that preclude accurate loss prediction in high-power linacs. The current program of study is focused on deploying direct 6D measurements to reconstruct a realistic model of the initial beam distribution at the RFQ output. This detailed characterization also provides an opportunity for benchmark of RFQ simulations. Here we compare PARMTEQ predictions against 5D-resolved (x, x’, y, y’, dE) phase space measurements of the BTF H⁻ bunch, focusing on the transverse distribution. This work is an extension of [1], which focused on the longitudinal phase space. PB - JACoW Publishing CP - Geneva, Switzerland SP - 584 EP - 587 KW - rfq KW - simulation KW - MEBT KW - space-charge KW - emittance DA - 2022/10 PY - 2022 SN - 2673-7000 SN - 978-3-95450-232-5 DO - doi:10.18429/JACoW-NAPAC2022-WEYE5 UR - https://jacow.org/napac2022/papers/weye5.pdf ER - TY - CONF AU - DeGraff, B. AU - Armstrong, R. AU - Denison, J. AU - Howell, M.P. AU - Kim, S.-H. AU - Montierth, D. AU - Pinion, L. AU - Williamson, M.D. ED - Biedron, Sandra ED - Simakov, Evgenya ED - Milton, Stephen ED - Anisimov, Petr M. ED - Schaa, Volker R.W. TI - Spallation Neutron Source Cryogenic Moderator System Helium Gas Analysis System J2 - Proc. of NAPAC2022, Albuquerque, NM, USA, 07-12 August 2022 CY - Albuquerque, NM, USA T2 - International Particle Accelerator Conference T3 - 5 LA - english AB - The Spallation Neutron Source (SNS) at Oak Ridge National Laboratory (ORNL) operates the Cryogenic Moderator System (CMS). The CMS comprises a 20-K helium refrigerator and three helium to hydrogen heat exchangers in support of hydrogen cooled spallation moderation vessels. This system uses vessels filled with activated carbon as the final major component to remove oil vapor from the compressed helium in the cryogenic cold box. SNS uses a LINDE multi-component gas analyzer to detect the presence of contaminants in the warm helium flow upstream of the cold box including aerosolized oil vapor. The design challenges of installing and operating this analyzer on the CMS system due to normal system operating pressures will be discussed. The design, fabrication, installation, commissioning, and initial results of this system operation will be presented. Future upgrades to the analyzer system will also be discussed. PB - JACoW Publishing CP - Geneva, Switzerland SP - 699 EP - 701 KW - cryogenics KW - MMI KW - neutron KW - operation KW - target DA - 2022/10 PY - 2022 SN - 2673-7000 SN - 978-3-95450-232-5 DO - doi:10.18429/JACoW-NAPAC2022-WEPA32 UR - https://jacow.org/napac2022/papers/wepa32.pdf ER - TY - CONF AU - Gorlov, T.V. AU - Aleksandrov, A.V. AU - Cousineau, S.M. AU - Kay, M.J. AU - Liu, Y. AU - Oguz, A.R. AU - Saha, P.K. ED - Biedron, Sandra ED - Simakov, Evgenya ED - Milton, Stephen ED - Anisimov, Petr M. ED - Schaa, Volker R.W. TI - Laser Stripping for 1.3 GeV H⁻ Beam at the SNS J2 - Proc. of NAPAC2022, Albuquerque, NM, USA, 07-12 August 2022 CY - Albuquerque, NM, USA T2 - International Particle Accelerator Conference T3 - 5 LA - english AB - A realistic full duty factor laser stripping charge exchange injection scheme for future 1.3 GeV beam at the SNS is considered. Different schemes of laser stripping involving combinations of photoexcitation, photoionization and magnetic field stripping are calculated. The laser power and magnetic field strength needed for different approaches are estimated and compared. The most practical scheme of laser stripping is selected for development. PB - JACoW Publishing CP - Geneva, Switzerland SP - 702 EP - 704 KW - laser KW - injection KW - photon KW - emittance KW - experiment DA - 2022/10 PY - 2022 SN - 2673-7000 SN - 978-3-95450-232-5 DO - doi:10.18429/JACoW-NAPAC2022-WEPA33 UR - https://jacow.org/napac2022/papers/wepa33.pdf ER - TY - CONF AU - Gorlov, T.V. ED - Biedron, Sandra ED - Simakov, Evgenya ED - Milton, Stephen ED - Anisimov, Petr M. ED - Schaa, Volker R.W. TI - Transfer Maps in the Hard-Edge Limit of Quadrupole and Bend Magnets Fringe Fields J2 - Proc. of NAPAC2022, Albuquerque, NM, USA, 07-12 August 2022 CY - Albuquerque, NM, USA T2 - International Particle Accelerator Conference T3 - 5 LA - english AB - Beam dynamics of charged particles in the fringe field of a quadrupole and a dipole magnet is considered. An effective method for solving symplectic Lie map exp(:f:) in such cases has been developed. A precise analytic solution for nonlinear transverse beam dynamics in a quadrupole magnet with hard-edge fringe field has been obtained. The method of Lie map calculation considered here can be applied for other magnets and for soft edge type of fringe field. PB - JACoW Publishing CP - Geneva, Switzerland SP - 705 EP - 707 KW - quadrupole KW - dipole KW - collider KW - space-charge KW - linear-dynamics DA - 2022/10 PY - 2022 SN - 2673-7000 SN - 978-3-95450-232-5 DO - doi:10.18429/JACoW-NAPAC2022-WEPA34 UR - https://jacow.org/napac2022/papers/wepa34.pdf ER - TY - CONF AU - Lin, L. AU - Radaideh, M.I. AU - Tran, H. AU - Winder, D.E. ED - Biedron, Sandra ED - Simakov, Evgenya ED - Milton, Stephen ED - Anisimov, Petr M. ED - Schaa, Volker R.W. TI - Benchmarking and Exploring Parameter Space of the 2-Phase Bubble Tracking Model for Liquid Mercury Target Simulation J2 - Proc. of NAPAC2022, Albuquerque, NM, USA, 07-12 August 2022 CY - Albuquerque, NM, USA T2 - International Particle Accelerator Conference T3 - 5 LA - english AB - High intensity proton pulses strike the Spallation Neutron Source (SNS)’s mercury target to provide bright neutron beams. These strikes deposit extensive energy into the mercury and its steel vessel. Prediction of the resultant loading on the target is difficult when helium gas is intentionally injected into the mercury to reduce the loading and to mitigate the pitting damage on the vessel. A 2-phase material model that incorporates the Rayleigh-Plesset (R-P) model is expected to address this complex multi-physics dynamics problem by including the bubble dynamics in the liquid mercury. We present a study comparing the measured target strains in the SNS target station with the simulation results of the solid mechanics simulation framework. We investigate a wide range of various physical model parameters, including the number of bubble families, bubble size distribution, viscosity, surface tension, etc. to understand their impact on simulation accuracy. Our initial findings reveal that using 8-10 bubble families in the model renders a simulation strain envelope that covers the experimental ones. Further optimization studies are planned to predict the strain response more accurately. PB - JACoW Publishing CP - Geneva, Switzerland SP - 711 EP - 714 KW - target KW - simulation KW - neutron KW - experiment KW - injection DA - 2022/10 PY - 2022 SN - 2673-7000 SN - 978-3-95450-232-5 DO - doi:10.18429/JACoW-NAPAC2022-WEPA37 UR - https://jacow.org/napac2022/papers/wepa37.pdf ER - TY - CONF AU - Radaideh, M.I. AU - Britton, T.J. AU - Cousineau, S.M. AU - Lu, D. AU - Pappas, G.C. AU - Rajput, K. AU - Schram, M. AU - Vidyaratne, L.S. AU - Walden, J.D. ED - Biedron, Sandra ED - Simakov, Evgenya ED - Milton, Stephen ED - Anisimov, Petr M. ED - Schaa, Volker R.W. TI - Progress on Machine Learning for the SNS High Voltage Converter Modulators J2 - Proc. of NAPAC2022, Albuquerque, NM, USA, 07-12 August 2022 CY - Albuquerque, NM, USA T2 - International Particle Accelerator Conference T3 - 5 LA - english AB - The High-Voltage Converter Modulators (HVCM) used to power the klystrons in the Spallation Neutron Source (SNS) linac were selected as one area to explore machine learning due to reliability issues in the past and the availability of large sets of archived waveforms. Progress in the past two years has resulted in generating a significant amount of simulated and measured data for training neural network models such as recurrent neural networks, convolutional neural networks, and variational autoencoders. Applications in anomaly detection, fault classification, and prognostics of capacitor degradation were pursued in collaboration with the Jefferson Laboratory, and early promising results were achieved. This paper will discuss the progress to date and present results from these efforts. PB - JACoW Publishing CP - Geneva, Switzerland SP - 715 EP - 718 KW - network KW - klystron KW - linac KW - electron KW - simulation DA - 2022/10 PY - 2022 SN - 2673-7000 SN - 978-3-95450-232-5 DO - doi:10.18429/JACoW-NAPAC2022-WEPA38 UR - https://jacow.org/napac2022/papers/wepa38.pdf ER - TY - CONF AU - Hoover, A.M. AU - Aleksandrov, A.V. AU - Cousineau, S.M. AU - Ruisard, K.J. AU - Zhukov, A.P. ED - Biedron, Sandra ED - Simakov, Evgenya ED - Milton, Stephen ED - Anisimov, Petr M. ED - Schaa, Volker R.W. TI - Measurements of the Five-Dimensional Phase Space Distribution of an Intense Ion Beam J2 - Proc. of NAPAC2022, Albuquerque, NM, USA, 07-12 August 2022 CY - Albuquerque, NM, USA T2 - International Particle Accelerator Conference T3 - 5 LA - english AB - No simulation of intense beam transport has accurately reproduced measurements at the level of beam halo. One potential explanation of this discrepancy is a lack of knowledge of the initial distribution of particles in six-dimensional (6D) phase space. A direct 6D measurement of an ion beam was recently performed at the Spallation Neutron Source (SNS) Beam Test Facility (BTF), revealing nonlinear transverse-longitudinal correlations in the beam core that affect downstream evolution. Unfortunately, direct 6D measurements are limited in resolution and dynamic range; here, we discuss the use of three slits and one screen to measure a 5D projection of the 6D phase space distribution, overcoming these limitations at the cost of one dimension. We examine the measured 5D distribution before and after transport through the BTF and compare to particle-in-cell simulations. We also discuss the possibility of reconstructing the 6D distribution from 5D and 4D projections. PB - JACoW Publishing CP - Geneva, Switzerland SP - 910 EP - 913 KW - simulation KW - emittance KW - neutron KW - rfq KW - quadrupole DA - 2022/10 PY - 2022 SN - 2673-7000 SN - 978-3-95450-232-5 DO - doi:10.18429/JACoW-NAPAC2022-FRXD3 UR - https://jacow.org/napac2022/papers/frxd3.pdf ER -