Input parameters, code and synthetic data for High-order spectral deconvolution of complex x-ray distributions using machine learning

Abstract

The data associated with this paper is as follows: input parameters to generate spectra, initialise spectrometer designs and ml model, code for data generation, training and testing and trained models and generated results.

A readme file is included containing detailed information about the included files and their roles, installing the provided python libraries and usage on how to perform training and evaluation.