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

Abstract 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 pr...

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Autores principales:	N. G. Burdet, V. Esposito, M. H. Seaberg, C. H. Yoon, J. J. Turner
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/9e897cef0eaa4005a1059e1c3066a01e
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spelling	oai:doaj.org-article:9e897cef0eaa4005a1059e1c3066a01e2021-12-02T18:51:08ZAbsolute contrast estimation for soft X-ray photon fluctuation spectroscopy using a variational droplet model10.1038/s41598-021-98774-32045-2322https://doaj.org/article/9e897cef0eaa4005a1059e1c3066a01e2021-09-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-98774-3https://doaj.org/toc/2045-2322Abstract 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.N. G. BurdetV. EspositoM. H. SeabergC. H. YoonJ. J. TurnerNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-9 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q N. G. Burdet V. Esposito M. H. Seaberg C. H. Yoon J. J. Turner Absolute contrast estimation for soft X-ray photon fluctuation spectroscopy using a variational droplet model
description	Abstract 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.
format	article
author	N. G. Burdet V. Esposito M. H. Seaberg C. H. Yoon J. J. Turner
author_facet	N. G. Burdet V. Esposito M. H. Seaberg C. H. Yoon J. J. Turner
author_sort	N. G. Burdet
title	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_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_sort	absolute contrast estimation for soft x-ray photon fluctuation spectroscopy using a variational droplet model
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/9e897cef0eaa4005a1059e1c3066a01e
work_keys_str_mv	AT ngburdet absolutecontrastestimationforsoftxrayphotonfluctuationspectroscopyusingavariationaldropletmodel AT vesposito absolutecontrastestimationforsoftxrayphotonfluctuationspectroscopyusingavariationaldropletmodel AT mhseaberg absolutecontrastestimationforsoftxrayphotonfluctuationspectroscopyusingavariationaldropletmodel AT chyoon absolutecontrastestimationforsoftxrayphotonfluctuationspectroscopyusingavariationaldropletmodel AT jjturner absolutecontrastestimationforsoftxrayphotonfluctuationspectroscopyusingavariationaldropletmodel
_version_	1718377463733551104

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

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