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Title Improving the Operational Lifetime of the CEBAF Photo-Gun by Anode Biasing
Authors Joshua Yoskowitz, Joseph Grames, Geoffrey Krafft, John Hansknecht, Carlos Hernandez-Garcia, Bernard Poelker, Gabriel Palacios-Serrano, Marcy Stutzman, Riad Suleiman, Sebastiaan Van der Geer, W. Sajini Wijethunga
JLAB number JLAB-ACC-21-3485
LANL number (None)
Other number DOE/OR/23177-5339
Document Type(s) (Meeting) 
Category: Electron/Positron Sources
Associated with EIC: No
Supported by Jefferson Lab LDRD Funding: No
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) 2840-2842
Publication Abstract: The operating lifetime of GaAs-based photocathodes in DC high voltage electron photo-guns is dominated by the ionization rate of residual beamline gas molecules. Ions created within the photo-gun potential are accelerated toward the photocathode, leading to a reduction of the photocathode quantum efficiency (QE). In this work, experiments were performed to quantify the improvement in photocathode charge lifetime by biasing the photo-gun anode with a positive voltage, which repels ions generated downstream of the anode. The method was tested by successively applying and removing the anode bias voltage of the CEBAF photo-gun at the Thomas Jefferson National Accelerator Facility over many months of beam production. The photocathode charge lifetime improved by almost a factor of two when the anode was biased compared to the usual grounded configuration. Simulations were performed using the particle tracking code General Particle Tracer (GPT) with a new custom element and electric field models of the CEBAF photo-gun made using CST Microwave Studio software to explain the improvement. The experiment results and conclusions supported by the GPT simulations will be presented.
Experiment Numbers:
Group: Ctr for Injectors&Sources
Document: pdf
DOI: https://doi.org/10.18429/JACoW-IPAC2021-WEPAB104
Accepted Manuscript: wepab104.pdf
Supporting Documents:
Yoskowitz_IPAC2021_BiasedAnode_Proceedings_FINAL.docxIPAC '21 Proceedings (Supporting)
Supporting Datasets: