Peter Lalor

  • Program Years: 2019-2023
  • Academic Institution: Massachusetts Institute of Technology
  • Field of Study: Nuclear Engineering
  • Academic Advisor: Areg Danagoulian
  • Practicum(s):
    Los Alamos National Laboratory (2021)
  • Degree(s):
    B.A. in Physics, University of California, Berkeley, 2019
    Ph.D. in Computational Nuclear Science and Engineering, Massachusetts Institute of Technology, 2024

Current Status

Publications

Peter Lalor, Areg Danagoulian. “Reconstructing the atomic number of dual energy cargo X-ray images: initial experimental results using a semiempirical transparency model.” Proceedings of the 65th Annual Meeting of the Institute of Nuclear Materials Management, 2024

Peter Lalor, Areg Danagoulian. “Atomic number estimation of dual energy cargo radiographs using a semiempirical transparency model.” Nuclear Instruments and Methods in Physics Research Section A, 1064:169343, 2024. https://doi.org/10.1016/j.nima.2024.169343

Peter Lalor, Areg Danagoulian. “Fundamental limitations of dual energy X-ray scanners for cargo content atomic number discrimination.” Applied Radiation and Isotopes, 206:111201, 2024. https://doi.org/10.1016/j.apradiso.2024.111201

Peter Lalor, Areg Danagoulian. “A semiempirical transparency model for dual energy cargo radiography applications.” Nuclear Instruments and Methods in Physics Research Section A, 1051:168193, 2023. https://doi.org/10.1016/j.nima.2023.168193

Awards

Postdoctoral Fellowships:
* Linus Pauling Distinguished Postdoctoral Fellowship – accepted (2024)
* Darleane Hoffman Postdoctoral Fellowship – declined (2024)
* Laboratory Director’s Named Postdoctoral Research Fellowship – declined (2024)

Graduate fellowships:
* Computational Science Graduate Fellowship – accepted (2019)
* Illinois Distinguished Fellowship – declined (2019)

Awards:
* Winner of the 2023 INMM J. D. Williams Student Paper competition (2023)