This repository contains the code used in the paper "Computational method for the optimization of quasimonoenergetic Laser Compton X-ray sources for imaging applications" as well as code to reproduce all figures in the paper.
This repository includes code that takes csv-formatted data of the scattering angles and energies of laser-Compton scattered (LCS) X-rays and then produces an interpolation map based on polynomial fitting to rapidly produce new spectra at different endpoint energies without any loss of local energy distribution information at each scattering angle.
All code is written using MATLAB R2021a and is intended to be used in the MATLAB GUI.
Properly running this code requires use of the "Run Section" option in MATLAB as well as workspace variables. All enclosed folders must be included in your MATLAB path.
We suggest starting with "getfigures.m," which tells you exactly which sections (SECS.) of the workhorse script, comptonfastfit.m, need to be run to produce each figure in the paper.
Sections 1-4 of comptonfastfit.m are ultimately the heart of Compton FastFit
Section 1: Load LCS X-ray spectral data
Section 2: Convert the data into polynomial matrices
Section 3: Create an interpolation map
Section 4: Produce an interpolated LCS X-ray spectrum at a new energy
This code is intended to be run with data that was generated using laser-Compton scattering simulation software and can be found here with instructions on which directories to store the data: https://doi.org/10.6084/m9.figshare.19083344.v1