New program with new approach for spectral data analysis
Taha Sochi

TL;DR
The paper introduces EasyDD, a high-throughput software for efficient spectral data analysis, especially suited for large datasets from synchrotron sources and X-ray diffraction, demonstrating its application in catalysis research.
Contribution
It presents a novel software tool and approach for batch processing and analyzing large spectral datasets from advanced synchrotron experiments.
Findings
Efficient processing of large spectral datasets
Successful application to nanoparticle catalysis data
Demonstrated compatibility with synchrotron data analysis workflows
Abstract
This article presents a high-throughput computer program, called EasyDD, for batch processing, analyzing and visualizing of spectral data; particularly those related to the new generation of synchrotron detectors and X-ray powder diffraction applications. This computing tool is designed for the treatment of large volumes of data in reasonable time with affordable computational resources. A case study in which this program was used to process and analyze powder diffraction data obtained from the ESRF synchrotron on an alumina-based nickel nanoparticle catalysis system is also presented for demonstration. The development of this computing tool, with the associated protocols, is inspired by a novel approach in spectral data analysis.
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Taxonomy
TopicsX-ray Diffraction in Crystallography · Machine Learning in Materials Science · Cultural Heritage Materials Analysis
