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Using photoelectron spectroscopy to measure resonant inelastic X-ray scattering: a computational investigation
Resonant inelastic X-ray scattering (RIXS) has become an important scientific tool. Nonetheless, conventional high-resolution (few hundred meV or less) RIXS measurements, especially in the soft X-ray range, require low-throughput grating spectrometers, which limits measurement accuracy. Here, the pe...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
International Union of Crystallography
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8733969/ https://www.ncbi.nlm.nih.gov/pubmed/34985437 http://dx.doi.org/10.1107/S1600577521011917 |
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author | Higley, Daniel J. Ogasawara, Hirohito Zohar, Sioan Dakovski, Georgi L. |
author_facet | Higley, Daniel J. Ogasawara, Hirohito Zohar, Sioan Dakovski, Georgi L. |
author_sort | Higley, Daniel J. |
collection | PubMed |
description | Resonant inelastic X-ray scattering (RIXS) has become an important scientific tool. Nonetheless, conventional high-resolution (few hundred meV or less) RIXS measurements, especially in the soft X-ray range, require low-throughput grating spectrometers, which limits measurement accuracy. Here, the performance of a different method for measuring RIXS, i.e. photoelectron spectrometry for analysis of X-rays (PAX), is computationally investigated. This method transforms the X-ray measurement problem of RIXS to an electron measurement problem, enabling use of high-throughput, compact electron spectrometers. X-rays to be measured are incident on a converter material and the energy distribution of the resultant photoelectrons, the PAX spectrum, is measured with an electron spectrometer. A deconvolution algorithm for analysis of such PAX data is proposed. It is shown that the deconvolution algorithm works well on data recorded with ∼0.5 eV resolution. Additional simulations show the potential of PAX for estimation of RIXS features with smaller widths. For simulations using the 3d levels of Ag as a converter material, and with 10(5) simulated detected electrons, it is estimated that features with a few hundred meV width can be accurately estimated in a model RIXS spectrum. For simulations using a sharp Fermi edge to encode RIXS spectra, it is estimated that one can accurately distinguish 100 meV FWHM peaks separated by 45 meV with 10(5) simulated detected electrons that were photoemitted from within 0.4 eV of the Fermi level. |
format | Online Article Text |
id | pubmed-8733969 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | International Union of Crystallography |
record_format | MEDLINE/PubMed |
spelling | pubmed-87339692022-01-19 Using photoelectron spectroscopy to measure resonant inelastic X-ray scattering: a computational investigation Higley, Daniel J. Ogasawara, Hirohito Zohar, Sioan Dakovski, Georgi L. J Synchrotron Radiat Research Papers Resonant inelastic X-ray scattering (RIXS) has become an important scientific tool. Nonetheless, conventional high-resolution (few hundred meV or less) RIXS measurements, especially in the soft X-ray range, require low-throughput grating spectrometers, which limits measurement accuracy. Here, the performance of a different method for measuring RIXS, i.e. photoelectron spectrometry for analysis of X-rays (PAX), is computationally investigated. This method transforms the X-ray measurement problem of RIXS to an electron measurement problem, enabling use of high-throughput, compact electron spectrometers. X-rays to be measured are incident on a converter material and the energy distribution of the resultant photoelectrons, the PAX spectrum, is measured with an electron spectrometer. A deconvolution algorithm for analysis of such PAX data is proposed. It is shown that the deconvolution algorithm works well on data recorded with ∼0.5 eV resolution. Additional simulations show the potential of PAX for estimation of RIXS features with smaller widths. For simulations using the 3d levels of Ag as a converter material, and with 10(5) simulated detected electrons, it is estimated that features with a few hundred meV width can be accurately estimated in a model RIXS spectrum. For simulations using a sharp Fermi edge to encode RIXS spectra, it is estimated that one can accurately distinguish 100 meV FWHM peaks separated by 45 meV with 10(5) simulated detected electrons that were photoemitted from within 0.4 eV of the Fermi level. International Union of Crystallography 2022-01-01 /pmc/articles/PMC8733969/ /pubmed/34985437 http://dx.doi.org/10.1107/S1600577521011917 Text en © Daniel J. Higley et al. 2022 https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution (CC-BY) Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original authors and source are cited. |
spellingShingle | Research Papers Higley, Daniel J. Ogasawara, Hirohito Zohar, Sioan Dakovski, Georgi L. Using photoelectron spectroscopy to measure resonant inelastic X-ray scattering: a computational investigation |
title | Using photoelectron spectroscopy to measure resonant inelastic X-ray scattering: a computational investigation |
title_full | Using photoelectron spectroscopy to measure resonant inelastic X-ray scattering: a computational investigation |
title_fullStr | Using photoelectron spectroscopy to measure resonant inelastic X-ray scattering: a computational investigation |
title_full_unstemmed | Using photoelectron spectroscopy to measure resonant inelastic X-ray scattering: a computational investigation |
title_short | Using photoelectron spectroscopy to measure resonant inelastic X-ray scattering: a computational investigation |
title_sort | using photoelectron spectroscopy to measure resonant inelastic x-ray scattering: a computational investigation |
topic | Research Papers |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8733969/ https://www.ncbi.nlm.nih.gov/pubmed/34985437 http://dx.doi.org/10.1107/S1600577521011917 |
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