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Proceedings Paper

Calculation of density of states for modeling photoemission using method of moments
Author(s): Daniel Finkenstadt; Samuel G. Lambrakos; Kevin L. Jensen; Andrew Shabaev; Nathan A. Moody
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Paper Abstract

Modeling photoemission using the Moments Approach (akin to Spicer’s “Three Step Model”) is often presumed to follow simple models for the prediction of two critical properties of photocathodes: the yield or “Quantum Efficiency” (QE), and the intrinsic spreading of the beam or “emittance” εn;rms. The simple models, however, tend to obscure properties of electrons in materials, the understanding of which is necessary for a proper prediction of a semiconductor or metal’s QE and εn;rms. This structure is characterized by localized resonance features as well as a universal trend at high energy. Presented in this study is a prototype analysis concerning the density of states (DOS) factor D(E) for Copper in bulk to replace the simple three-dimensional form of D(E) = (m2 h3)p2mE currently used in the Moments approach. This analysis demonstrates that excited state spectra of atoms, molecules and solids based on density-functional theory can be adapted as useful information for practical applications, as well as providing theoretical interpretation of density-of-states structure, e.g., qualitatively good descriptions of optical transitions in matter, in addition to DFT’s utility in providing the optical constants and material parameters also required in the Moments Approach.

Paper Details

Date Published: 6 September 2017
PDF: 8 pages
Proc. SPIE 10374, Optical Modeling and Performance Predictions IX, 103740F (6 September 2017); doi: 10.1117/12.2272749
Show Author Affiliations
Daniel Finkenstadt, U.S. Naval Academy (United States)
Samuel G. Lambrakos, U.S. Naval Research Lab. (United States)
Kevin L. Jensen, U.S. Naval Research Lab. (United States)
Andrew Shabaev, U.S. Naval Research Lab. (United States)
Nathan A. Moody, Los Alamos National Lab. (United States)

Published in SPIE Proceedings Vol. 10374:
Optical Modeling and Performance Predictions IX
Mark A. Kahan; Marie B. Levine-West, Editor(s)

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