Quantum Monte Carlo Group for Nuclear Physics

The QMC Group for Nuclear Physics is focused on understanding how nuclear properties emerge from the underlying nucleonic dynamics, with the broader goal of contributing to ongoing experimental efforts in nuclear physics, fundamental symmetries, neutrino physics, and astrophysics.

This research is supported by the DOE through the Facility for Rare Isotopes Beams Theory Alliance and through the Fermilab Neutrino Theory Network Award.

This research uses computational resources located at Argonne National Lab awarded by the DOE Leadership Computing Challenge.

We acknowledge the McDonnell Center for the Space Sciences for its crucial and  continuing support. 

The McDonnell Center supports the Nuclear and Particle Physics Workshops at Washington University in St. Louis

Undergraduate Research

 

Rebecca Lim worked with the Quantum Monte Carlo group for two semesters during the 2020-2021 academic year. In the Fall, she focused on studying fundamental concepts of nuclear physics through assigned readings that were discussed in weekly meetings. Rebecca produced detailed notes written in LaTeX that will be used as lecture material for a future introductory nuclear physics course. She also learned the basics of Python programming. In the Spring, Rebecca wrote Python codes to analyze momentum and spatial distributions in light nuclei obtained from Quantum Monte Carlo calculations. Rebecca got the Medical Physics Summer Fellowship at the Mayo Clinic College of Medicine and Science in Physics, Arizona, where she will spend 10 weeks of the Summer semester.

 

 

 

 

Two body momentum distribution of alpha particle

In the Spring of 2020, Sam Brusilow was supported by the Metzger Family Foundation Undergraduate Research Fellowship. He worked with Saori Pastore and Lorenzo Andreoli to analyze electron scattering and momentum distributions of the alpha particle and carbon 12. He wrote python codes supplemented by fortran codes to post process and analyze data from Quantum Monte Carlo calculations. These codes will be utilized to support further research projects.

 

 

Group Members

For more information on our research or if you are interested in working with us, please contact us.

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