Journal article
Using alpha hulls to automatically and reproducibly detect edge clusters in atom probe tomography datasets
- Abstract:
-
An automated way to accurately and reproducibly identify edge clusters within atom probe tomography datasets has been developed. The alpha-hull algorithm is used to generate a concave alpha-shape around an atom probe dataset. Information from core-linkage cluster searches is used, in combination with the calculated alpha-shape, to determine which clusters are on the edge of the dataset. The potential effects that not removing edge clusters may have on calculated cluster sizes, number densiti...
Expand abstract
- Publication status:
- Published
- Peer review status:
- Peer reviewed
Actions
Access Document
- Files:
-
-
(Accepted manuscript, pdf, 2.5MB)
-
- Publisher copy:
- 10.1016/j.matchar.2019.110078
Authors
Bibliographic Details
- Publisher:
- Elsevier Publisher's website
- Journal:
- Materials Characterization Journal website
- Volume:
- 160
- Article number:
- 110078
- Publication date:
- 2019-12-14
- Acceptance date:
- 2019-12-13
- DOI:
- EISSN:
-
1873-4189
- ISSN:
-
1044-5803
Item Description
- Language:
- English
- Keywords:
- Pubs id:
-
pubs:1078136
- UUID:
-
uuid:c75ab1b4-d460-48c5-b132-a8383310d2fd
- Local pid:
- pubs:1078136
- Source identifiers:
-
1078136
- Deposit date:
- 2019-12-17
Terms of use
- Copyright holder:
- Elsevier
- Copyright date:
- 2019
- Rights statement:
- © 2019 Elsevier Inc. All rights reserved.
- Notes:
- This is the accepted manuscript version of the article, available under the terms of a Creative Commons, Attribution, Non-Commercial, No Derivatives licence. The final version is available online from Elsevier at: https://doi.org/10.1016/j.matchar.2019.110078
Metrics
If you are the owner of this record, you can report an update to it here: Report update to this record