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AXEAP: a software package for X-ray emission data analysis using unsupervised machine learning.

Authors :
Hwang IH
Solovyev MA
Han SW
Chan MKY
Hammonds JP
Heald SM
Kelly SD
Schwarz N
Zhang X
Sun CJ
Source :
Journal of synchrotron radiation [J Synchrotron Radiat] 2022 Sep 01; Vol. 29 (Pt 5), pp. 1309-1317. Date of Electronic Publication: 2022 Jul 21.
Publication Year :
2022

Abstract

The Argonne X-ray Emission Analysis Package (AXEAP) has been developed to calibrate and process X-ray emission spectroscopy (XES) data collected with a two-dimensional (2D) position-sensitive detector. AXEAP is designed to convert a 2D XES image into an XES spectrum in real time using both calculations and unsupervised machine learning. AXEAP is capable of making this transformation at a rate similar to data collection, allowing real-time comparisons during data collection, reducing the amount of data stored from gigabyte-sized image files to kilobyte-sized text files. With a user-friendly interface, AXEAP includes data processing for non-resonant and resonant XES images from multiple edges and elements. AXEAP is written in MATLAB and can run on common operating systems, including Linux, Windows, and MacOS.<br /> (open access.)

Details

Language :
English
ISSN :
1600-5775
Volume :
29
Issue :
Pt 5
Database :
MEDLINE
Journal :
Journal of synchrotron radiation
Publication Type :
Academic Journal
Accession number :
36073891
Full Text :
https://doi.org/10.1107/S1600577522006786