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AXEAP: a software package for X-ray emission data analysis using unsupervised machine learning.
Hwang, In Hui; Solovyev, Mikhail A; Han, Sang Wook; Chan, Maria K Y; Hammonds, John P; Heald, Steve M; Kelly, Shelly D; Schwarz, Nicholas; Zhang, Xiaoyi; Sun, Cheng Jun.
Afiliação
  • Hwang IH; X-ray Science Division, Advanced Photon Source, Argonne National Laboratory, 9700 South Cass Avenue, Lemont, IL 60439, USA.
  • Solovyev MA; X-ray Science Division, Advanced Photon Source, Argonne National Laboratory, 9700 South Cass Avenue, Lemont, IL 60439, USA.
  • Han SW; Department of Physics Education and Institute of Fusion Science, Jeonbuk National University, Jeonju 54896, Republic of Korea.
  • Chan MKY; Center for Nanoscale Nanomaterials, Argonne National Laboratory, Argonne, IL 60439, USA.
  • Hammonds JP; X-ray Science Division, Advanced Photon Source, Argonne National Laboratory, 9700 South Cass Avenue, Lemont, IL 60439, USA.
  • Heald SM; X-ray Science Division, Advanced Photon Source, Argonne National Laboratory, 9700 South Cass Avenue, Lemont, IL 60439, USA.
  • Kelly SD; X-ray Science Division, Advanced Photon Source, Argonne National Laboratory, 9700 South Cass Avenue, Lemont, IL 60439, USA.
  • Schwarz N; X-ray Science Division, Advanced Photon Source, Argonne National Laboratory, 9700 South Cass Avenue, Lemont, IL 60439, USA.
  • Zhang X; X-ray Science Division, Advanced Photon Source, Argonne National Laboratory, 9700 South Cass Avenue, Lemont, IL 60439, USA.
  • Sun CJ; X-ray Science Division, Advanced Photon Source, Argonne National Laboratory, 9700 South Cass Avenue, Lemont, IL 60439, USA.
J Synchrotron Radiat ; 29(Pt 5): 1309-1317, 2022 Sep 01.
Article em En | MEDLINE | ID: mdl-36073891
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Aprendizado de Máquina não Supervisionado / Análise de Dados Tipo de estudo: Diagnostic_studies Idioma: En Revista: J Synchrotron Radiat Assunto da revista: RADIOLOGIA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Aprendizado de Máquina não Supervisionado / Análise de Dados Tipo de estudo: Diagnostic_studies Idioma: En Revista: J Synchrotron Radiat Assunto da revista: RADIOLOGIA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos