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Title Half-Metal Spin Filter for Highly Polarized Emission from GaAs Photocathodes
Authors Shashi Poddar, C.-J. Jing, E. Montgomery, P. Lukashev, C. Palmstrøm, Marcy Stutzman, Shukui Zhang
JLAB number JLAB-ACC-21-3500
LANL number (None)
Other number DOE/OR/23177-5352
Document Type(s) (Meeting) 
Category: Diagnostics & Instrumentation
Associated with EIC: No
Supported by Jefferson Lab LDRD Funding: No
Funding Source: Nuclear Physics (NP)
Other Funding:DE-SC0020564
 

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) 2833-2836
Publication Abstract: GaAs-based photocathodes are one of the major sources of spin-polarized electrons and are crucial for the upcoming Electron-Ion collider experiments which includes study of proton spin and spin parity violation in the standard model. The theoretical polarization limit in unstrained GaAs photocathodes is 50 % but only 35 % is routinely achieved in experiments. Spin selective filtering allows to boost the spin polarization beyond the 50 % theoretical limit. In this work, first-principle electronic calculations using standard Density Functional Theory are performed to predict possible Heusler alloy half-metal candidates to be used as spin-filter. Simulations are also performed to investigate the half-metallicity as function of the magnetic spin direction. Several devices are experimentally fabricated using dedicated Molecular Beam Epitaxy growth system. We implemented Quantum Efficiency and Polarization testing of these half-metal/GaAs heterostructures using a dedicated Mott polarimeter system. Photoemission can also be seen on magnetically switching the spin-filter direction accompanied by a change in sign of the asymmetry which is a qualitative proof of the spin-filtering effect.
Experiment Numbers:
Group: Ctr for Injectors&Sources
Document: pdf
DOI: https://doi.org/10.18429/JACoW-IPAC2021-WEPAB102
Accepted Manuscript: wepab102.pdf
Supporting Documents:
Supporting Datasets: