Data for Deep Learning enabled spectral energy conversion for in-situ exposure measurements
Published: 6 March 2026| Version 3 | DOI: 10.17632/j8mpg3yxpm.3
Contributor:
Jonathan CondeDescription
Data set for manuscript "Deep Learning enabled spectral energy conversion for in-situ exposure measurements". Monte Carlo simulation raw data files are found as txtm files whereas compiled response matrices and source parameter information are found as csv files. Base training python code is included for the deep learning model.
Files
Steps to reproduce
Summary of model architecture and instructions found in the README file
Institutions
- US Department of Energy Nevada National Security SiteNV, North Las Vegas
- Kansas State UniversityKS, Manhattan
- National Nuclear Security AdministrationDC, Washington
Categories
Monte Carlo Simulation, External Radiation Exposure, Radiation Detection, Deep Learning