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

IF 2.4 3区物理与天体物理 Q2 INSTRUMENTS & INSTRUMENTATION

Journal of Synchrotron Radiation Pub Date : 2022-09-01 Epub Date: 2022-07-21 DOI:10.1107/S1600577522006786

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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引用次数: 2

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.

Abstract Image

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AXEAP:使用无监督机器学习进行x射线发射数据分析的软件包。

Argonne x射线发射分析包(AXEAP)已开发用于校准和处理由二维(2D)位置敏感探测器收集的x射线发射光谱(XES)数据。AXEAP旨在通过计算和无监督机器学习将2D x射线图像实时转换为x射线光谱。AXEAP能够以类似于数据收集的速度进行这种转换，允许在数据收集期间进行实时比较，减少从千兆字节大小的图像文件存储到千字节大小的文本文件的数据量。AXEAP具有用户友好的界面，包括对来自多个边缘和元素的非谐振和谐振x图像的数据处理。AXEAP是用MATLAB编写的，可以在常见的操作系统上运行，包括Linux、Windows和MacOS。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Synchrotron Radiation 物理-光学

CiteScore

5.10

自引率

12.00%

发文量

289

审稿时长

4-8 weeks

期刊介绍： Synchrotron radiation research is rapidly expanding with many new sources of radiation being created globally. Synchrotron radiation plays a leading role in pure science and in emerging technologies. The Journal of Synchrotron Radiation provides comprehensive coverage of the entire field of synchrotron radiation and free-electron laser research including instrumentation, theory, computing and scientific applications in areas such as biology, nanoscience and materials science. Rapid publication ensures an up-to-date information resource for scientists and engineers in the field.