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Absolute contrast estimation for soft X-ray photon fluctuation spectroscopy using a variational droplet model

X-ray photon fluctuation spectroscopy using a two-pulse mode at the Linac Coherent Light Source has great potential for the study of quantum fluctuations in materials as it allows for exploration of low-energy physics. However, the complexity of the data analysis and interpretation still prevent rec...

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Autores principales: Burdet, N. G., Esposito, V., Seaberg, M. H., Yoon, C. H., Turner, J. J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8484587/
https://www.ncbi.nlm.nih.gov/pubmed/34593859
http://dx.doi.org/10.1038/s41598-021-98774-3
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author Burdet, N. G.
Esposito, V.
Seaberg, M. H.
Yoon, C. H.
Turner, J. J.
author_facet Burdet, N. G.
Esposito, V.
Seaberg, M. H.
Yoon, C. H.
Turner, J. J.
author_sort Burdet, N. G.
collection PubMed
description X-ray photon fluctuation spectroscopy using a two-pulse mode at the Linac Coherent Light Source has great potential for the study of quantum fluctuations in materials as it allows for exploration of low-energy physics. However, the complexity of the data analysis and interpretation still prevent recovering real-time results during an experiment, and can even complicate post-analysis processes. This is particularly true for high-spatial resolution applications using CCDs with small pixels, which can decrease the photon mapping accuracy resulting from the large electron cloud generation at the detector. Droplet algorithms endeavor to restore accurate photon maps, but the results can be altered by their hyper-parameters. We present numerical modeling tools through extensive simulations that mimic previous x-ray photon fluctuation spectroscopy experiments. By modification of a fast droplet algorithm, our results demonstrate how to optimize the precise parameters that lift the intrinsic counting degeneracy impeding accuracy in extracting the speckle contrast. These results allow for an absolute determination of the summed contrast from multi-pulse x-ray speckle diffraction, the modus operandi by which the correlation time for spontaneous fluctuations can be measured.
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spelling pubmed-84845872021-10-04 Absolute contrast estimation for soft X-ray photon fluctuation spectroscopy using a variational droplet model Burdet, N. G. Esposito, V. Seaberg, M. H. Yoon, C. H. Turner, J. J. Sci Rep Article X-ray photon fluctuation spectroscopy using a two-pulse mode at the Linac Coherent Light Source has great potential for the study of quantum fluctuations in materials as it allows for exploration of low-energy physics. However, the complexity of the data analysis and interpretation still prevent recovering real-time results during an experiment, and can even complicate post-analysis processes. This is particularly true for high-spatial resolution applications using CCDs with small pixels, which can decrease the photon mapping accuracy resulting from the large electron cloud generation at the detector. Droplet algorithms endeavor to restore accurate photon maps, but the results can be altered by their hyper-parameters. We present numerical modeling tools through extensive simulations that mimic previous x-ray photon fluctuation spectroscopy experiments. By modification of a fast droplet algorithm, our results demonstrate how to optimize the precise parameters that lift the intrinsic counting degeneracy impeding accuracy in extracting the speckle contrast. These results allow for an absolute determination of the summed contrast from multi-pulse x-ray speckle diffraction, the modus operandi by which the correlation time for spontaneous fluctuations can be measured. Nature Publishing Group UK 2021-09-30 /pmc/articles/PMC8484587/ /pubmed/34593859 http://dx.doi.org/10.1038/s41598-021-98774-3 Text en © This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Burdet, N. G.
Esposito, V.
Seaberg, M. H.
Yoon, C. H.
Turner, J. J.
Absolute contrast estimation for soft X-ray photon fluctuation spectroscopy using a variational droplet model
title Absolute contrast estimation for soft X-ray photon fluctuation spectroscopy using a variational droplet model
title_full Absolute contrast estimation for soft X-ray photon fluctuation spectroscopy using a variational droplet model
title_fullStr Absolute contrast estimation for soft X-ray photon fluctuation spectroscopy using a variational droplet model
title_full_unstemmed Absolute contrast estimation for soft X-ray photon fluctuation spectroscopy using a variational droplet model
title_short Absolute contrast estimation for soft X-ray photon fluctuation spectroscopy using a variational droplet model
title_sort absolute contrast estimation for soft x-ray photon fluctuation spectroscopy using a variational droplet model
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8484587/
https://www.ncbi.nlm.nih.gov/pubmed/34593859
http://dx.doi.org/10.1038/s41598-021-98774-3
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