Operation of the CEBAF 100 MV Cryomodules

Hovater, C.; Allison, Trent; Bachimanchi, Ramakrishna; Biallas, George; Daly, Edward; Drury, M.; Freyberger, A.; Geng, Rongli; Lahti, G.; Legg, Robert; Mounts, Clyde; Nelson, Richard M.; Plawski, Tomasz; Powers, T.

doi:10.18429/jacow-linac2016-moop11

Cited by 1 publication

(1 citation statement)

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“…This radiation may cause damage to cavities which leads to shortened lifetimes of the devices and a radiation safety hazard for the surrounding environment. Dark current induced problems have been observed at many facilities such as the CEBAF [7], LCLS-II [8], ANL, etc. Sufficient shielding is required to properly contain the radiation which in turn requires a good understanding and prediction of radiation levels through simulations.…”

Section: Interdisciplinary Simulationsmentioning

confidence: 99%

Simulations of future particle accelerators: issues and mitigations

Sagan¹,

Berz²,

Cook³

et al. 2021

J. Inst.

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The ever increasing demands placed upon machine performance have resulted in the need for more comprehensive particle accelerator modeling. Computer simulations are key to the success of particle accelerators. Many aspects of particle accelerators rely on computer modeling at some point, sometimes requiring complex simulation tools and massively parallel supercomputing. Examples include the modeling of beams at extreme intensities and densities (toward the quantum degeneracy limit), and with ultra-fine control (down to the level of individual particles). In the future, adaptively tuned models might also be relied upon to provide beam measurements beyond the resolution of existing diagnostics. Much time and effort has been put into creating accelerator software tools, some of which are highly successful. However, there are also shortcomings such as the general inability of existing software to be easily modified to meet changing simulation needs. In this paper possible mitigating strategies are discussed for issues faced by the accelerator community as it endeavors to produce better and more comprehensive modeling tools. This includes lack of coordination between code developers, lack of standards to make codes portable and/or reusable, lack of documentation, among others.

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Section: Interdisciplinary Simulationsmentioning

confidence: 99%