Short Bio:
As a NSSPI graduate student, Seray Cerezo worked with Dr. Sunil Chirayath on Systematic Uncertainty Quantification in nuclide concentrations from MCNP fuel burnup simulations. To propagate the effects of systematic uncertainty in microscopic cross sections, Cerezo utilized a Backward Euler numerical scheme that allows for the reporting of the systematic relative error in the predicted nuclide concentrations. This methodology was executed through Python scripting, and a program was developed to estimate the overall systematic relative error in concentrations of the user-desired nuclides predicted in an MCNP fuel burnup simulation.
Cerezo completed a summer internship at Los Alamos National Laboratory and gained experience in nondestructive assay through a training course offered at the lab. She was a member of the Texas A&M Institute for Nuclear Materials Management (INMM) Student Chapter, which allowed her to attend presentations by various experts. She also had the opportunity to present her research at the 2023 INMM/ESARDA Joint Annual Meeting in Vienna, Austria, and to participate in the International Nuclear Facilities Experience to the European Union, which she cited as a highlight of her NSSPI student experience.
Cerezo earned a Master of Science in nuclear engineering with a nuclear nonproliferation specialization in May of 2024. She previously graduated with a Bachelor of Science in nuclear engineering from Texas A&M in May 2022. She plans to continue as a Texas A&M graduate student and pursue a Ph.D.
NSSPI Publications:
- S.N. Cerezo, "Systematic Uncertainty Quantification Of MCNP Predicted Nuclide Concentrations In Fuel Burnup Simulations", M.S. Thesis, Nuclear Engineering, Texas A&M University, College Station, TX (2024).
- S.N. Cerezo, S.S. Chirayath, G. Long, C. Keith, "Stochastic And Data Uncertainty Quantificaiton Of MCNP Predicted Nuclide Concentrations In Fuel Burnup Simulations", INMM/ESARDA Joint Annual Meeting, 22-26 May 2023, Vienna, Austria.