AXEAP: a software package for X-ray emission data analysis using unsupervised machine learning
| Autor: | In-Hui Hwang, Mikhail A. Solovyev, Sang-Wook Han, Maria K. Y. Chan, John P. Hammonds, Steve M. Heald, Shelly D. Kelly, Nicholas Schwarz, Xiaoyi Zhang, Cheng-Jun Sun |
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| Jazyk: | angličtina |
| Rok vydání: | 2022 |
| Předmět: | |
| Zdroj: | Journal of Synchrotron Radiation, Vol 29, Iss 5, Pp 1309-1317 (2022) |
| Druh dokumentu: | article |
| ISSN: | 1600-5775 16005775 |
| DOI: | 10.1107/S1600577522006786 |
| Popis: | 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. |
| Databáze: | Directory of Open Access Journals |
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