Retrieving the energy-loss function from valence electron energy-loss spectrum: Separation of bulk-, surface-losses and Cherenkov radiation
Abstract
With recent rapid advancement in electron microscopy instrumentation, in particular, bright electron sources and monochromators, valence electron energy-loss spectroscopy (VEELS) has become attractive for retrieving band structures, optical properties, dielectric functions and phonon information of materials. However, Cherenkov radiation and surface-loss contribution signi cantly alter ne structures of VEELS, even in simple semiconductors and insulators. This leads to the problem that dielectric function or bandgap structure of these materials cannot be determined correctly if these e ects are not removed. In this work we present a solution to this dilemma. We demonstrate that energy-loss function and real part of inverse complex dielectric function can be retrieved from raw data of VEELS. Based on the calculated example of Si, the limitation of our approach is discussed. We believe that our approach represents an improvement over previous procedures and has a broad prospect for applications.
- Authors:
-
- Brookhaven National Lab. (BNL), Upton, NY (United States)
- Publication Date:
- Research Org.:
- Brookhaven National Lab. (BNL), Upton, NY (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Basic Energy Sciences (BES)
- OSTI Identifier:
- 1485442
- Alternate Identifier(s):
- OSTI ID: 1724315
- Report Number(s):
- BNL-209677-2018-JAAM
Journal ID: ISSN 0304-3991
- Grant/Contract Number:
- SC0012704; AC02-98CH10886
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Ultramicroscopy
- Additional Journal Information:
- Journal Volume: 194; Journal Issue: C; Journal ID: ISSN 0304-3991
- Publisher:
- Elsevier
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 75 CONDENSED MATTER PHYSICS, SUPERCONDUCTIVITY AND SUPERFLUIDITY
Citation Formats
Meng, Qingping, Wu, Lijun, Xin, Huolin L., and Zhu, Yimei. Retrieving the energy-loss function from valence electron energy-loss spectrum: Separation of bulk-, surface-losses and Cherenkov radiation. United States: N. p., 2018.
Web. doi:10.1016/j.ultramic.2018.08.014.
Meng, Qingping, Wu, Lijun, Xin, Huolin L., & Zhu, Yimei. Retrieving the energy-loss function from valence electron energy-loss spectrum: Separation of bulk-, surface-losses and Cherenkov radiation. United States. https://doi.org/10.1016/j.ultramic.2018.08.014
Meng, Qingping, Wu, Lijun, Xin, Huolin L., and Zhu, Yimei. Mon .
"Retrieving the energy-loss function from valence electron energy-loss spectrum: Separation of bulk-, surface-losses and Cherenkov radiation". United States. https://doi.org/10.1016/j.ultramic.2018.08.014. https://www.osti.gov/servlets/purl/1485442.
@article{osti_1485442,
title = {Retrieving the energy-loss function from valence electron energy-loss spectrum: Separation of bulk-, surface-losses and Cherenkov radiation},
author = {Meng, Qingping and Wu, Lijun and Xin, Huolin L. and Zhu, Yimei},
abstractNote = {With recent rapid advancement in electron microscopy instrumentation, in particular, bright electron sources and monochromators, valence electron energy-loss spectroscopy (VEELS) has become attractive for retrieving band structures, optical properties, dielectric functions and phonon information of materials. However, Cherenkov radiation and surface-loss contribution signi cantly alter ne structures of VEELS, even in simple semiconductors and insulators. This leads to the problem that dielectric function or bandgap structure of these materials cannot be determined correctly if these e ects are not removed. In this work we present a solution to this dilemma. We demonstrate that energy-loss function and real part of inverse complex dielectric function can be retrieved from raw data of VEELS. Based on the calculated example of Si, the limitation of our approach is discussed. We believe that our approach represents an improvement over previous procedures and has a broad prospect for applications.},
doi = {10.1016/j.ultramic.2018.08.014},
journal = {Ultramicroscopy},
number = C,
volume = 194,
place = {United States},
year = {Mon Aug 20 00:00:00 EDT 2018},
month = {Mon Aug 20 00:00:00 EDT 2018}
}
Web of Science