Courses
The webpages of Prof. Nadolsky’s courses can be accessed on courses.smu.edu using the SMU 8-digit ID and password.
- PHYS 1304: Introduction to Electricity and Magnetism
- PHYS 4392: Intermediate theory of electricity and magnetism
- PHYS 6321: Classical mechanics
- PHYS 6351: Thermodynamics and statistical mechanics, graduate level
- PHYS 7311/7312: Electromagnetism theory, graduate level
- PHYS 7314/7315: Quantum field theory, graduate level
- PHYS 8361:Strong interactions at elementary particle collider
Undergraduate research in theoretical physics
Prof. Nadolsky’s group periodically has open research opportunities for undergraduate students with strong backgrounds in physics, mathematics, programming, or data science, especially for junior and senior students. Depending on their interests and skills, students contribute to the development of computational methods and computer programs for studies of elementary particles at the CERN Large Hadron Collider and other leading research laboratories.
Publications written with our undergraduate research assistants include
Direct Ellipsoidal Fitting of Discrete Multi-Dimensional Data, by Rafey Anwar, Madeline Hamilton, and Pavel Nadolsky. SMU Journal of Undergraduate Research, vol.5, article 4, 2020. E-print: arXiv:1901.05511 [physics.data-an].
Comparison of Algorithms for Monte Carlo Integration of a Multi-dimensional Gaussian Function, by Bridget Bertoni, preprint SMU-HEP-10-13.
Mapping the sensitivity of hadronic experiments to nucleon structure, by Bo-Ting Wang, T.J. Hobbs, Sean Doyle, Jun Gao, Tie-Jiun Hou, Pavel M. Nadolsky, Fredrick I. Olness. Physical Review D 98 (2018) 094030