APS Logo

Computation, Controls & Machine Learning for Particle Accelerator Applications

ORAL

Abstract

Control systems for particle accelerators and beam-driven applications are undergoing a revolution. AI/ML algorithms are used to deliver higher performance, automation and unprecedented reliability. Important applications include synchrotron and FEL light sources, as well as neutron science. FELs are potential radiation sources for the industrial manufacture and inspection of large 3D wafers. Digital twin technologies are required to bring particle accelerator technologies successfully from laboratory settings to industrial facilities. The open source Sirepo framework* and associated scientific gateway** is being integrated with the emerging software stack for lightsource user facilities. Sirepo technologies are deployed at multiple research laboratories to automate X-ray beamlines and neutron scattering experiments. Recent work and near-term plans are described.



* Sirepo code repository, https://github.com/radiasoft/sirepo

** The Sirepo scientific gateway, https://www.sirepo.com

–

Publication: D.L. Bruhwiler, B. Nash, D.T. Abell, G. Khalsa, J. van Tilborg, Q. Chen, C. Tóth, C.G.R. Geddes and N.B. Goldring, "Open source software to simulate Ti:Sapphire amplifiers," in Proc. Int. Part. Accel. Conf., THPOTK063 (2022).<br>B. Nash, D.T. Abell, R. Nagler, P. Moeller, M. Keilman, I. Pogorelov, N. Goldring, M. Rakitin, J. Lynch, A. Giles, A. Walter, J. Maldonado, T. Morris, S. Bak and Y. Du, "Combining diagnostics, modeling, and control systems for automated alignment of the TES beamline," J. Phys.: Conf. Series 2380, 012103 (2022).<br>H. Goel, O. Chubar, L. Wiegart, A. Fluerasu, R. Li, A. He, M. Rakitin, P. Moeller and R. Nagler, "Developments in SRW Code and Sirepo Framework Supporting Simulation of Time-Dependent Coherent X-ray Scattering Experiments," in J. Phys.: Conf. Series 2380, 012126 (2022).<br>C. Hall, D.T. Abell, A. Banerjee, O. Chubar, J. Edelen, M. Keilman, P. Moeller, R. Nagler and B. Nash, "Recent developments to the Radia magnetostatics code for improved performance and interface," in J. Phys.: Conf. Series 2380, 012025 (2022).<br>J.P. Edelen, D.T. Abell, D.L. Bruhwiler, S.J. Coleman, N.M. Cook, A. Diaw, J. Einstein-Curtis, C.C. Hall, M. Kilpatrick, B. Nash, I.V. Pogorelov, K.A. Brown, C. Tennant, P. Piot, S. Calder, C. Hoffmann, A.L. Edelen, B. O'Shea, R. Roussel and E.-C. Huang, "Facilitating Machine Learning Collaborations between Labs, Universities, and Industry," in Proc. North American Particle Accel. Conf., MOPA55 (2022).<br>B. Nash, D.T. Abell, M. Keilman, P. Moeller, I.V. Pogorelov, Y. Du, A. Giles, J. Lynch, T. Morris, M. Rakitin, A.L. Walter and N. Goldring, "Online Models for X-ray Beamlines," in Proc. North American Particle Accel. Conf., MOPA57 (2022).

Presenters

  • David L Bruhwiler

    RadiaSoft, LLC

Authors

  • David L Bruhwiler

    RadiaSoft, LLC

  • Jonathan Edelen

    RadiaSoft LLC

  • Nathan M Cook

    RadiaSoft, LLC

  • Christopher Hall

    RadiaSoft LLC

  • Stephen Coleman

    RadiaSoft LLC

  • Morgan Henderson

    RadiaSoft LLC

  • Kathryn Wolfinger

    RadiaSoft LLC

  • Joshua Einstein-Curtis

    RadiaSoft LLC

  • Paul Moeller

    RadiaSoft LLC

  • Robert Nagler

    RadiaSoft LLC

  • Evan Carlin

    RadiaSoft LLC