Michael Schmid, Florian Kraushofer, Alexander M. Imre, Tilman Kißlinger, Lutz Hammer, Ulrike Diebold, Michele Riva
{"title":"ViPErLEED package II: Spot tracking, extraction and processing of I(V) curves","authors":"Michael Schmid, Florian Kraushofer, Alexander M. Imre, Tilman Kißlinger, Lutz Hammer, Ulrike Diebold, Michele Riva","doi":"arxiv-2406.18413","DOIUrl":null,"url":null,"abstract":"As part of the ViPErLEED project (Vienna package for Erlangen LEED,\nlow-energy electron diffraction), computer programs have been developed for\nfacile and user-friendly data extraction from movies of LEED images. The\nprograms make use of some concepts from astronomical image processing and\nanalysis. As a first step, flat-field and dark-frame corrections reduce the\neffects of inhomogeneities of the camera and screen. In a second step, for\nidentifying all diffraction maxima (\"spots\"), it is sufficient to manually mark\nand label a single spot or very few spots. Then the program can automatically\nidentify all other spots and determine the distortions of the image. This forms\nthe basis for automatic spot tracking (following the \"beams\" as they move\nacross the LEED screen) and intensity measurement. Even for complex structures\nwith hundreds to a few thousand diffraction beams, this step takes less than a\nminute. The package also includes a program for further processing of these\nI(V) curves (averaging of equivalent beams, manual and/or automatic selection,\nsmoothing) as well as several utilities. The software is implemented as a set\nof plugins for the public-domain image processing program ImageJ and provided\nas an open-source package.","PeriodicalId":501065,"journal":{"name":"arXiv - PHYS - Data Analysis, Statistics and Probability","volume":"29 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - PHYS - Data Analysis, Statistics and Probability","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2406.18413","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
As part of the ViPErLEED project (Vienna package for Erlangen LEED,
low-energy electron diffraction), computer programs have been developed for
facile and user-friendly data extraction from movies of LEED images. The
programs make use of some concepts from astronomical image processing and
analysis. As a first step, flat-field and dark-frame corrections reduce the
effects of inhomogeneities of the camera and screen. In a second step, for
identifying all diffraction maxima ("spots"), it is sufficient to manually mark
and label a single spot or very few spots. Then the program can automatically
identify all other spots and determine the distortions of the image. This forms
the basis for automatic spot tracking (following the "beams" as they move
across the LEED screen) and intensity measurement. Even for complex structures
with hundreds to a few thousand diffraction beams, this step takes less than a
minute. The package also includes a program for further processing of these
I(V) curves (averaging of equivalent beams, manual and/or automatic selection,
smoothing) as well as several utilities. The software is implemented as a set
of plugins for the public-domain image processing program ImageJ and provided
as an open-source package.