Publications
Publication Information
Title | REDESIGN OF THE JEFFERSON LAB -300 kV DC PHOTO-GUN FOR HIGH BUNCH CHARGE OPERATIONS |
Authors | W M Sajini Wijethunga, Jean Delayen, Geoffrey Krafft, Gabriel Palacios-Serrano, Md Abdullah Mamun, Carlos Hernandez-Garcia, Riad Suleiman, Bernard Poelker, Jay Benesch |
JLAB number | JLAB-ACC-21-3396 |
LANL number | (None) |
Other number | DOE/OR/23177-5215 |
Document Type(s) | (Meeting) |
Category: | Electron/Positron Sources |
Associated with EIC: | No |
Supported by Jefferson Lab LDRD Funding: | Yes |
LDRD Numbers: | |
Funding Source: | Nuclear Physics (NP) |
Meeting Paper compiled for IPAC21 Proceedings Proceedings of IPAC 2021 Edited By Liu Lin, John M. Byrd, Regis Neuenschwander, Renan Picoreti, Volker R. W. Schaa JACOW (2021) Page(s) 2802-2805 | |
Publication Abstract: | Production of high bunch charge beams for the Electron-Ion Collider (EIC) is a challenging task. High bunch charge (a few nC) electron beam studies at Jefferson Lab using an inverted insulator DC high voltage photo-gun showed evidence of space charge limitations starting at 0.3 nC, limiting the maximum delivered bunch charge to 0.7 nC for beam at -225 kV, 75 ps (FWHM) pulse width, and 1.64 mm (rms) laser spot size. The low extracted charge is due to the modest longitudinal electric field (Ez) at the photocathode leading to beam loss at the anode and downstream beam pipe. To reach the few nC high bunch charge goal, and to correct the beam deflection exerted by the non-symmetric nature of the inverted insulator photo-gun the existing photo-gun was modified. This contribution discusses the electrostatic design of the modified photo-gun obtained using CST Studio Suite's electromagnetic field solver. Beam dynamics simulations performed using General Particle Tracer (GPT) with the resulting electrostatic field map obtained from the modified electrodes confirmed the validity of the new design. |
Experiment Numbers: | |
Group: | Ctr for Injectors&Sources |
Document: | |
DOI: | https://doi.org/10.18429/JACoW-IPAC2021-WEPAB092 |
Accepted Manuscript: | wepab092.pdf |
Supporting Documents: | |
Supporting Datasets: |