High-order spectral deconvolution of complex X-ray distributions using machine learning
This work presents a machine learning-based reconstruction framework that enables rapid spectral inference under realistic detector conditions, without a priori assumptions on spectral shape during inference, and demonstrates robust reconstruction across diverse spectral morphologies and flux levels.