2024/09/26 by A. Hoover, Hoover, Austin · 2 citations
Engineering · Mathematics · Medicine · #Accelerator Physics (physics.acc-ph) #Advanced X-ray and CT Imaging #Computed tomography #Data Analysis #Entropy (arrow of time) #FOS: Physical sciences #Mathematics #Medical Imaging Techniques and Applications #Medicine #Physics #Principle of maximum entropy #Radiology #Statistical physics #Statistics #Statistics and Probability (physics.data-an) #Thermodynamics #Tomography
paper · pdf · doi:10.48550/arxiv.2409.17915
openalex publication_date 2024/09/26 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
We propose a modified maximum-entropy (MENT) algorithm for six-dimensional phase space tomography. The algorithm uses particle sampling and low-dimensional density estimation to approximate large sets of high-dimensional integrals in the original MENT formulation. We implement this approach using Markov Chain Monte Carlo (MCMC) sampling techniques and demonstrate convergence of six-dimensional MENT on both synthetic and measured data.