Contact Information
Bio
Dr. Thienbao Carpency is an Assistant Professor of Physics at the U.S. Air Force Academy. She received her doctorate in physics from Lehigh University in 2018. Dr. Carpency came to the Academy as a research contractor working on a computational model of a nuclear flash event on materials. She has subsequently worked on a variety of computational projects including using Monte Carlo methods to model the effects of ionizing radiation on DNA and machine learning and neural networks to better analyze radioxenon beta-gamma spectra.
Education
Doctor of Philosophy, Physics, Lehigh University (2018)
Master of Science, Physics, Lehigh University (2016)
Bachelor of Science, Physics and Mathematics, University of Denver (2012)
Professional Experience
Assistant Professor of Physics, Department of Physics, U.S. Air Force Academy (2021-Present)
Research Contractor, Department of Physics, U.S. Air Force Academy (2018-2020)
Honors & Awards
Air Force Commendation Medal with one oak leaf cluster
Air Force Achievement Medal
AFMC Nuclear Deterrence Operations Team of the Year, AFNWC Nuclear Technology and Integration Directorate, Kirtland AFB, New Mexico (2019)
Research and Scholarly Interests
Monte Carlo Methods
Machine Learning and Neural Networks
Ionizing Radiation effects in biology and physics
Publications
Armstrong, J., Carpency, T., Scoville, J., Sesler, J., & Hall, R. (2021). Machine learning for the analysis of 2D radioxenon beta gamma spectra. Journal of Radioanalytical and Nuclear Chemistry, 327(2), 857-867.
Sesler, J., Scoville, J., Carpency, T., Armstrong, J., & Hall, R. (2021). 2D peak fitting for the analysis of radioxenon beta gamma spectra. Journal of Radioanalytical and Nuclear Chemistry, 327(1), 445-456.
Carpency, T. N., Gunton, J. D., & Rickman, J. M. (2016). Phase behavior of patchy spheroidal fluids. The Journal of chemical physics, 145(21), 214904.