Atom Probe Tomography Data Reconstruction with the Correction on Material Density
https://doi.org/10.56304/S2079562922010250
Abstract
Data collected with an atom probe tomograph allow to reconstruct 3D atom maps of chemical element atoms with high accuracy. Due to the permanent improvement of AP installations, new 3D reconstruction procedures are required. This work proposes an improved approach for atom probe data reconstruction which uses dynamic parameters and a calibration based on the material density.
Supporting agencies: Study using atomic probe tomography fiy was carried out at the Center for Collective Use KAMICS (http://kamiks.itep.ru/) of the Institute of Theoretical of Retical and Experimental Physics National Research Center “Kurchatov Institute”
About the Authors
А. А. Lukyanchuk
National Research Centre “Kurchatov Institute”; National Research Nuclear University MEPhI (Moscow Engineering Physics Institute)
Russian Federation
Russian Federation
123182; 115409; Moscow
А. А. Aleev
National Research Centre “Kurchatov Institute”
Russian Federation
Russian Federation
123182; Moscow
А. S. Shutov
National Research Centre “Kurchatov Institute”; National Research Nuclear University MEPhI (Moscow Engineering Physics Institute)
Russian Federation
Russian Federation
123182; 115409; Moscow
О. А. Raznitsyn
National Research Centre “Kurchatov Institute”; National Research Nuclear University MEPhI (Moscow Engineering Physics Institute)
Russian Federation
Russian Federation
123182; 115409; Moscow
С. Е. Kirillov
National Research Centre “Kurchatov Institute”
Russian Federation
Russian Federation
123182; Moscow
S. V. Rogozhkin
National Research Centre “Kurchatov Institute”; National Research Nuclear University MEPhI (Moscow Engineering Physics Institute)
Russian Federation
Russian Federation
123182; 115409; Moscow
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Review
For citations:
Lukyanchuk А.А., Aleev А.А., Shutov А.S., Raznitsyn О.А., Kirillov С.Е., Rogozhkin S.V. Atom Probe Tomography Data Reconstruction with the Correction on Material Density. Nuclear Physics and Engineering. 2022;13(3):272-279. (In Russ.) https://doi.org/10.56304/S2079562922010250
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