AI Article Synopsis
- NeXL is a suite of Julia language packages designed for processing X-ray microanalysis data, which includes key components that support atomic data and various correction algorithms.
- The framework consists of several tools such as NeXLCore for foundational data, NeXLMatrixCorrection for matrix adjustments, and NeXLSpectrum for spectrum analysis and manipulation.
- By utilizing NeXL alongside the DrWatson package, researchers can achieve reproducible data analysis, ensuring that data and analysis methods are accessible for verification and reproduction in scientific studies.
Article Abstract
NeXL is a collection of Julia language packages (libraries) for X-ray microanalysis data processing. NeXLCore provides basic atomic and X-ray physics data and models including support for microanalysis-related data types for materials and k-ratios. NeXLMatrixCorrection provides algorithms for matrix correction and iteration. NeXLSpectrum provides utilities and tools for energy-dispersive X-ray spectrum and hyperspectrum analysis including display, manipulation, and fitting. NeXL is integrated with the Julia language infrastructure. NeXL builds on the Gadfly plotting library and the DataFrames tabular data library. When combined with the DrWatson package, NeXL can provide a highly reproducible environment in which to process microanalysis data. Data availability and reproducible data analysis are two keys to scientific reproducibility. Not only should readers of journal articles have access to the data, they should also be able to reproduce the analysis steps that take the data to final results. This paper will both discuss the NeXL framework and provide examples of how it can used for reproducible data analysis.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9437143 | PMC |
| http://dx.doi.org/10.1017/S143192762200023X | DOI Listing |
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