Bayesian Optimization Scheme for the Design of a Nanofibrous High Power Target

Conference · Tue Jun 18 04:00:00 EDT 2024

DOI:https://doi.org/10.2172/2377443· OSTI ID:2377443

Asztalos, William ^[1]; Torun, Y. ^[1]; Bidhar, S. ^[2]; Pellemoine, F. ^[2]; Rath, P. ^[3]

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1. IIT, Chicago
2. Fermilab
3. Indian Inst. Tech., Bhubaneswar

High Power Targetry (HPT) R\&D is critical in the context of increasing beam intensity and energy for next generation accelerators. Many target concepts and novel materials are being developed and tested for their ability to withstand extreme beam environments; the HPT R\&D Group at Fermilab is developing an electrospun nanofiber material for this purpose. The performance of these nanofiber targets is sensitive to their construction parameters, such as the packing density of the fibers. Lowering the density improves the survival of the target, but reduces the secondary particle yield. Optimizing the lifetime and production efficiency of the target poses an interesting design problem, and in this paper we study the applicability of Bayesian optimization to its solution. We first describe how to encode the nanofiber target design problem as the optimization of an objective function, and how to evaluate that function with computer simulations. We then explain the optimization loop setup. Thereafter, we present the optimal design parameters suggested by the algorithm, and close with discussions of limitations and future refinements.

• Research Organization: Fermi National Accelerator Laboratory (FNAL), Batavia, IL (United States)
• Sponsoring Organization: USDOE Office of Science (SC), High Energy Physics (HEP) (SC-25)
• DOE Contract Number: AC02-07CH11359
• OSTI ID: 2377443
• Report Number(s): FERMILAB-POSTER-24-0064-AD; oai:inspirehep.net:2799488
• Country of Publication: United States
• Language: English

Related Subjects

43 PARTICLE ACCELERATORS
72 PHYSICS OF ELEMENTARY PARTICLES AND FIELDS