Photo Credit: Elliott McCrory
University of West Florida, Pensacola, Florida
Who I am:
My name is Twymun K. Safford, and I am an African-American, Bahamian, Hispanic, Native American, South Asian, and European American student studying physics and mathematics at the University of West Florida. I am currently a MARC and I receive funding from the National Institutes of Health to conduct research here at the UWF and at other institutions. The goal of the program is to prepare underrepresented and underprivileged minority students to apply to and pursue research at doctorate granting institutions in chemistry, physics, and biology programs. The program has been instrumental in offering opportunities for myself and other colleagues to conduct research.
I believe research in nuclear physics will allow me to expand my intellectual horizons, and contribute to scientific research and endeavors. It will also give me the opportunity to pursue my dreams of become a leader within the realm of research and innovation, and to mentor troubled youth and minorities that have been discouraged from pursuing their dreams due to extenuating circumstances I have researched the opportunities possible in pursuing a doctorate degree and a career in nuclear physics and I would love to conduct research concerned with neutrinos and other subatomic particles; however, I would also like to contribute to efforts in exploring the renewable energy resources which can be yielded through nuclear energy. I would also like to contribute to our current understanding of the electroweak, strong, and weak force interactions, the Higgs field, neutrinos, and to contribute to endeavors concerning nuclear energy resources. Read My Full Bio
Research: NOνA is collaboration of 180 scientists and engineers from 28 institutions which plans to study neutrino oscillations using the existing NuMI neutrino beam at Fermilab. The NOνA experiment is designed to search for oscillations of muon neutrinos to electron neutrinos by comparing the electron neutrino event rate measured at the Fermilab site with the electron neutrino event rate measured at a location just south of International Falls, MN 810 kilometers distant from Fermilab. If oscillations occur, the far site will see the appearance of electrons in the muon neutrino beam produced at Fermilab. The presence of background radiation obscures the desired particles and trails to be observed. Using neural network analysis, the goal of the project was to implement machine learning to automate the removal of background radiation to render pixel maps of the particle trajectories.