We use a few cookies

Essential cookies keep the library working. With your permission, we'd also like to use analytics to see what's useful and improve the experience. Read our Privacy Policy or Cookie Policy.

Skip to main content
Home/e-Resources/Physics/Multivariate optimization of a high brightness dc gun photoinjector
PeriodicalsPhysics

Multivariate optimization of a high brightness dc gun photoinjector

Checking your access to this record.

Abstract & Overview

We have conducted a multiobjective computational optimization of a high brightness, high average current photoinjector under development at Cornell University. This injector employs a dc photoemission electron gun. Using evolutionary algorithms combined with parallel computing resources, the multivariate parameter space of the photoinjector was explored for optimal values. This powerful computational tool allows an extensive study of complex and nonlinear systems such as the space-charge dominated regions of an accelerator, and has broad areas of potential application to accelerator physics and engineering problems. In the present case, the optimized injector is simulated to deliver beam of very high quality (e.g., a rms normalized emittance of 0.1 mm mrad for 0.1 nC, and 0.7 mm mrad for 1 nC bunches). The field strengths of the active elements of the injector are moderate and technically practical. The relevance of these results to various novel linac-based accelerator proposals is pointed out.

Cite this record

Ivan Bazarov, Charles K. Sinclair (2005). Multivariate optimization of a high brightness dc gun photoinjector. Physical Review Special Topics - Accelerators and Beams, 8(3). https://doi.org/10.1103/physrevstab.8.034202

Copy in another style

Bazarov, I., & Sinclair, C. K. (2005). Multivariate optimization of a high brightness dc gun photoinjector. Physical Review Special Topics - Accelerators and Beams, 8(3). https://doi.org/10.1103/physrevstab.8.034202
Author names are used as deposited, so check their order before you submit.

Metadata is harvested from open-access indexes and can be incomplete. Check a citation against the published version before relying on it — see our open access & attribution policy.