Publications

Journal Articles

Bayesian optimization of the beam injection process into a storage ring
Xu, C.; Boltz, T.; Mochihashi, A.; Santamaria Garcia, A.; Schuh, M.; Müller, A.-S.
2023. Physical Review Accelerators and Beams, 26 (3), Artkl.Nr.: 034601. doi:10.1103/PhysRevAccelBeams.26.034601
Accelerated Deep Reinforcement Learning for Fast Feedback of Beam Dynamics at KARA
Wang, W.; Caselle, M.; Boltz, T.; Blomley, E.; Brosi, M.; Dritschler, T.; Ebersoldt, A.; Kopmann, A.; Santamaria Garcia, A.; Schreiber, P.; Bründermann, E.; Weber, M.; Müller, A.-S.; Fang, Y.
2021. IEEE transactions on nuclear science, 68 (8), 1794–1800. doi:10.1109/TNS.2021.3084515
Prediction of beam losses during crab cavity quenches at the high luminosity LHC
Apsimon, R.; Burt, G.; Dexter, A.; Shipman, N.; Castilla, A.; Macpherson, A.; Sjobak, K. N.; Garcia, A. S.; Stapley, N.; Alekou, A.; Appleby, R. B.
2019. Physical Review Accelerators and Beams, 22 (6), 061001. doi:10.1103/PhysRevAccelBeams.22.061001

Conference Papers

How can Machine Learning help Future Light Sources?
Santamaria Garcia, A.; Xu, C.; Scomparin, L.; Bründermann, E.; Caselle, M.; Carne, G. de; Müller, A.-S.
2023. Future Light Sources 2023 : 67th ICFA Advanced Beam Dynamics Workshop FLS 2023, 249–256, JACoW Publishing. doi:10.18429/JACoW-FLS2023-TH3D3
KINGFISHER: A Framework for Fast Machine Learning Inference for Autonomous Accelerator Systems
Scomparin, L.; Blomley, E.; Bründermann, E.; Caselle, M.; Dritschler, T.; Kopmann, A.; Mochihashi, A.; Müller, A.-S.; Santamaria Garcia, A.; Schreiber, P.; Steinmann, J. L.; Weber, M.; Boltz, T.
2022. Data Acquisition and Processing Platforms - International Beam Instrumentation Conference (11th), Kraków, Poland, 11-15 September 2022, 151–155, JACoW Publishing. doi:10.18429/JACoW-IBIC2022-MOP42
First Steps Toward an Autonomous Accelerator, a Common Project Between DESY and KIT
Eichler, A.; Burkart, F.; Kaiser, J.; Kuropka, W.; Stein, O.; Xu, C.; Bründermann, E.; Santamaria Garcia, A.
2021. 12th International Particle Accelerator Conference : virtual edition, May 24th-28th, 2021, Brazil : proceedings volume / IPAC2021. Ed.: R. Picoreti, 2182–2185, JACoW Publishing. doi:10.18429/JACoW-IPAC2021-TUPAB298
Machine Learning Based Spatial Light Modulator Control for the Photoinjector Laser at FLUTE
Xu, C.; Bründermann, E.; Müller, A.-S.; Nasse, M. J.; Santamaria Garcia, A.; Sax, C.; Widmann, C.; Eichler, A.
2021. 12th International Particle Accelerator Conference : virtual edition, May 24th-28th, 2021, Brazil : proceedings volume / IPAC2021. Ed.: R. Picoreti, 3332–3335, JACoW Publishing. doi:10.18429/JACoW-IPAC2021-WEPAB289

Reports/Preprints

Cheetah: Bridging the Gap Between Machine Learning and Particle Accelerator Physics with High-Speed, Differentiable Simulations
Kaiser, J.; Xu, C.; Eichler, A.; Garcia, A. S.
2024. arxiv. doi:10.48550/arXiv.2401.05815
Learning to Do or Learning While Doing: Reinforcement Learning and Bayesian Optimisation for Online Continuous Tuning
Kaiser, J.; Xu, C.; Eichler, A.; Garcia, A. S.; Stein, O.; Bründermann, E.; Kuropka, W.; Dinter, H.; Mayet, F.; Vinatier, T.; Burkart, F.; Schlarb, H.
2023. arxiv. doi:10.48550/arXiv.2306.03739
Bayesian Optimization Algorithms for Accelerator Physics
Roussel, R.; Edelen, A. L.; Boltz, T.; Kennedy, D.; Zhang, Z.; Huang, X.; Ratner, D.; Garcia, A. S.; Xu, C.; Kaiser, J.; Eichler, A.; Lubsen, J. O.; Isenberg, N. M.; Gao, Y.; Kuklev, N.; Martinez, J.; Mustapha, B.; Kain, V.; Lin, W.; Liuzzo, S. M.; John, J. S.; Streeter, M. J. V.; Lehe, R.; Neiswanger, W.
2023. arxiv. doi:10.48550/arXiv.2312.05667
Dynamic simulations in SixTrack
Sjobak, K.; Olsen, V. K. B.; Maria, R. de; Fitterer, M.; García, A. S.; Garcia-Morales, H.; Mereghetti, A.; Wagner, J. F.; Wretborn, S. J.
2018. arxiv. doi:10.48550/arXiv.1808.06248

Presentations

Breakthrough in real-time control with reinforcement learning on hardware at KARA
Santamaria Garcia, A.; Scomparin, L.; Blomley, E.; Bründermann, E.; Caselle, M.; Kopmann, A.; Steinmann, J. L.; Xu, C.; Becker, J.; Müller, A. S.
2023, October 11. 9th Annual MT Meeting "Matter and Technologies" (2023), Karlsruhe, Germany, October 9–11, 2023
How can Machine Learning help Future Light Sources?
Santamaria Garcia, A.
2023, August 31. 67th ICFA Advanced Beam Dynamics Workshop on Future Light Sources (FLS 2023), Lucern, Switzerland, August 27–September 1, 2023
Reinforcement Learning Applications at Particle Accelerators
Xu, C.; Kaiser, J.; Santamaria Garcia, A.; Scomparin, L.; Bruendermann, E.; Eichler, A.
2023, July 6. 11th MT-ARD Subtopic 3 Annual Meeting (MT-ARD-ST3 2023), Dresden, Germany, July 5–7, 2023
Machine Learning activities at KIT
Santamaria Garcia, A.; Blomley, E.; Bründermann, E.; Caselle, M.; Kötter, S.-R.; Scomparin, L.; Steinmann, J.; Xu, C.; Müller, A. S.
2023, July 3. ACCLAIM Meeting (2023), Jena, Germany, July 3–4, 2023
Beam Trajectory Control with Lattice-Agnostic Reinforcement Learning
Xu, C.; Bründermann, E.; Kaiser, J.; Müller, A. S.; Santamaria Garcia, A.
2023, March 22. DPG Frühjahrstagung, Arbeitskreis Beschleunigerphysik (2023), Dresden, Germany, March 20–24, 2023
Highlights and News - KIT
Santamaria Garcia, A.
2023, March 3. ACCLAIM Meeting (2023), Online, March 3, 2023
Highlights & news from KIT
Santamaria Garcia, A.; Bruendermann, E.; Kötter, S.-R.; Scomparin, L.; Xu, C.; Caselle, M.; Müller, A.-S.
2023, February 3. ACCLAIM Meeting (2023), Online, February 3, 2023
From usage of machine learning to possible impact in the ARD research program
Bründermann, E.; Thévenet, M.; Steinhagen, R. J.; Schnizer, P.; Hoffmann, N.; Santamaria Garcia, A.
2022, September 27. 8. Annual MT Meeting (2022), Hamburg, Germany, September 26–27, 2022
Machine Learning Activities for Particle Accelerators at KIT
Santamaria Garcia, A.; Boltz, T.; Bruchon, N.; Bründermann, E.; Xu, C.; Müller, A.-S.
2021, December. ACCLAIM Meeting (2021), Online, December 14–15, 2021
Inverse Problems: THz- and phase space tomography and machine learning
Santamaria Garcia, A.; Bründermann, E.; Funkner, S.
2021, November 22. Mathematik in der Teilchen- und Astroteilchenphysik: Diskussion zukünftiger Zusammenarbeit und Identifikation gemeinsamer Projekte (2021), Online, November 22, 2021
Towards Automatic Tuning and Control of Accelerators
Xu, C.; Nasse, M. J.; Nabinger, M.; Santamaria Garcia, A.; Sax, C.; Bründermann, E.; Müller, A.-S.
2021, September 30. 9th MT ARD ST3 meeting (2021), Online, September 29–October 1, 2021
Highlights and News - KIT
Santamaria Garcia, A.
2021, September 17. ACCLAIM Meeting (2021), Online, September 17, 2021
Machine Learning Applications for Particle Accelerators
Santamaria Garcia, A.; Bründermann, E.; Boltz, T.; Bruchon, N.; Xu, C.; Müller, A.-S.
2021, September 8. HeKKSaGOn (German-Japanese University Alliance) Data Science Workshop (2021), Online, September 7–8, 2021
Highlights & News @KIT
Santamaria Garcia, A.; Bruchon, N.; Caselle, M.; Bründermann, E.; Kopmann, A.; Xu, C.; Müller, A.-S.
2021, August 20. ACCLAIM Meeting (2021), Online, August 20, 2021
Highlights and News
Santamaria Garcia, A.
2021, July 23. ACCLAIM Meeting (2021), Online, July 23, 2021
Reinforcement Learning
Bründermann, E.; Santamaria Garcia, A.; Xu, C.; Bruchon, N.
2021, July 1. 2nd Action Plan ErUM-Data Community Meeting (2021), Online, July 1, 2021
Highlights & News @KIT
Santamaria Garcia, A.; Bruchon, N.; Caselle, M.; Bründermann, E.; Kopmann, A.; Xu, C.; Müller, A.-S.
2021, May 28. ACCLAIM Meeting (2021), Online, May 28, 2021
Machine Learning activities for accelerators @ KIT
Santamaria Garcia, A.; Boltz, T.; Bründermann, E.; Härer, B.; Mochihashi, A.; Nasse, M. J.; Sax, C.; Xu, C.; Müller, A.-S.
2021, May 12. LEAPS Integrated Platform Workshop (LIP 2021), Online, May 11–12, 2021
Towards control of a photoinjector by using spatial light modulators at FLUTE
FLUTE Collaboration; Sax, C.; Nasse, M.; Widmann, C.; Mai, C.; Xu, C.; Santamaria Garcia, A.; Bründermann, E.; Müller, A.-S.
2021, March 17. Jahrestagung der DPG und DPG-Frühjahrstagung der Sektion Materie und Kosmos - Arbeitskreis Beschleunigerphysik (SMuK 2021), Online, March 15–19, 2021
Bayesian optimization of injection efficiency at KARA using Gaussian processes
Xu, C.; Boltz, T.; Mochihashi, A.; Santamaria Garcia, A.; Müller, A.-S.
2021, March 17. DPG-Frühjahrstagung / Arbeitskreis Beschleunigerphysik - AKBP: Beam Dynamics - AKBP 1.7 (2021), Online, March 15–19, 2021
Machine Learning Activities at KIT for Accelerators
Santamaria Garcia, A.; Boltz, T.; Bründermann, E.; Härer, B.; Mochihashi, A.; Nasse, M. J.; Sax, C.; Xu, C.; Müller, A.-S.
2021, February 3. 7th Annual MT Meeting (Part 1) (2021), Online, February 1–3, 2021
Introduction and Plans - KIT
Santamaria Garcia, A.
2021, January 15. ACCLAIM Kick-Off Meeting (2021), Online, January 15, 2021
Machine Learning Activities at KIT for Accelerators
Santamaria Garcia, A.; Boltz, T.; Bründermann, E.; Härer, B.; Mochihashi, A.; Müller, A.-S.
2020, December 17. AMALEA Final Meeting (2020), Online, December 17, 2020
Artificial Intelligence Activities at KIT for Accelerators
Santamaria Garcia, A.; Boltz, T.; Bründermann, E.; Härer, B.; Mochihashi, A.; Xu, C.; Müller, A.-S.
2020, September 24. 8th MT ARD ST3 Meeting 2020, Karlsruhe, Deutschland (2020), Online, September 23–24, 2020
Towards Micro-Bunching Control at Storage Rings with Reinforcement Learning
Boltz, T.; Brosi, M.; Caselle, M.; Dritschler, T.; Haerer, B.; Klein, M.; Pohl, C.; Santamaria Garcia, A.; Schreiber, P.; Wang, W.; Yan, M.; Müller, A.-S.
2020, September 15. DPG AKBP Machine Learning Seminar, Bad Honnef, Deutschland (2020), Bad Honnef, Germany, September 14–15, 2020
Machine Learning Applications
Bründermann, E.; Santamaria Garcia, A.; Müller, A.-S.
2020, September 7. Verbundforschung in der Physik der kleinsten Teilchen - KfB-Workshop (2020), Online, September 7–8, 2020

Posters

Systematic study of longitudinal excitations to influence the microbunching instability at KARA
Santamaria Garcia, A.; Blomley, E.; Bründermann, E.; Caselle, M.; Schreiber, P.; Scomparin, L.; Steinmann, J. L.; Müller, A.-S.
2023, September 26. 14th International Particle Accelerator Conference (IPAC 2023), Venice, Italy, May 7–12, 2023
Beam trajectory control with lattice-agnostic reinforcement learning
Xu, C.; Kaiser, J.; Eichler, A.; Santamaria Garcia, A.; Mueller, A.-S.; Bründermann, E.
2023, September 26. (R. Assmann, P. McIntosh, A. Fabris, G. Bisoffi, I. Andrian & G. Vinicola, Eds.), 14th International Particle Accelerator Conference (IPAC 2023), Venice, Italy, May 7–12, 2023
Bayesian Optimization for SASE Tuning at the European XFEL
Xu, C.; Bründermann, E.; Santamaria Garcia, A.; Müller, A.-S.
2023, May. 14th International Particle Accelerator Conference (IPAC 2023), Venice, Italy, May 7–12, 2023
THz Radiation Optimization at Linac using Machine Learning Methods
Xu, C.; Santamaria Garcia, A.
2022, November. 3rd ICFA Beam Dynamics Mini-Workshop on Machine Learning Applications for Particle Accelerators (2022), Chicago, IL, USA, November 1–4, 2022
Surrogate Modelling of the FLUTE Low-Energy Section
Xu, C.; Bründermann, E.; Santamaria Garcia, A.; Schäfer, J.; Müller, A.-S.
2022, September. 8. Annual MT Meeting (2022), Hamburg, Germany, September 26–27, 2022
Optimization Studies of Simulated THz Radiation at FLUTE
Xu, C.; Bründermann, E.; Santamaria Garcia, A.; Schäfer, J.; Schwarz, M.; Müller, A.-S.
2022, September. 10th MT-ARD-ST3 Meeting (2022), Berlin, Germany, September 7–9, 2022
Machine Learning Based Spatial Light Modulator Control for the Photoinjector Laser at FLUTE
Xu, C.; Bründermann, E.; Müller, A.-S.; Nasse, M. J.; Santamaria Garcia, A.; Sax, C.; Widmann, C.; Eichler, A.
2021. 12th International Particle Accelerator Conference (IPAC 2021), Online, May 24–28, 2021
First Steps Toward an Autonomous Accelerator, a Common Project Between DESY and KIT
Eichler, A.; Burkart, F.; Kaiser, J.; Kuropka, W.; Stein, O.; Xu, C.; Bründermann, E.; Santamaria Garcia, A.
2021. 12th International Particle Accelerator Conference (IPAC 2021), Online, May 24–28, 2021

Audio & Video

First Steps Toward an Autonomous Accelerator, a Common Project Between DESY and KIT
Eichler, A.; Burkart, F.; Kaiser, J.; Kuropka, W.; Stein, O.; Xu, C.; Bründermann, E.; Santamaria Garcia, A.
2021. doi:10.5445/IR/1000137667
Machine Learning Based Spatial Light Modulator Control for the Photoinjector Laser at FLUTE
Xu, C.; Bründermann, E.; Müller, A.-S.; Nasse, M. J.; Santamaria Garcia, A.; Sax, C.; Widmann, C.; Eichler, A.
2021. doi:10.5445/IR/1000137411