XRFast a new software package for processing of MA-XRF datasets using machine learning. Vermeulen, M., McGeachy, A., Xu, B., Chopp, H., Katsaggelos, A., Meyers, R., Alfeld, M., & Walton, M. Journal of Analytical Atomic Spectrometry, 37(10):2130–2143, 2022. Paper doi abstract bibtex XRFast is a new software package written in Julia to decompose XRF imaging dataset.
@article{Aggelosd,
abstract = {XRFast is a new software package written in Julia to decompose XRF imaging dataset.},
author = {Vermeulen, Marc and McGeachy, Alicia and Xu, Bingjie and Chopp, Henry and Katsaggelos, Aggelos and Meyers, Rebecca and Alfeld, Matthias and Walton, Marc},
doi = {10.1039/D2JA00114D},
issn = {0267-9477},
journal = {Journal of Analytical Atomic Spectrometry},
number = {10},
pages = {2130--2143},
title = {{XRFast a new software package for processing of MA-XRF datasets using machine learning}},
url = {https://pubs.rsc.org/en/content/articlelanding/2022/JA/D2JA00114D http://xlink.rsc.org/?DOI=D2JA00114D},
volume = {37},
year = {2022}
}
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