Preliminary Exam – Andrew Andis
Riddick 400P 2401 Katherine Stinson Dr, Raleigh, NC, United StatesLorentz Integral Transforms of Light Nuclei from Effective Field Theory
Lorentz Integral Transforms of Light Nuclei from Effective Field Theory
Efficient techniques for studying few-body resonances in nuclear physics
High-energy inclusive gluon production: precision frontier for central rapidity region
Title: Nuclear Structure and Isomer Studies for R-Process Nucleosynthesis Abstract: Neutron-capture-driven nucleosynthesis is believed to be responsible for the creation of most of the nuclei heavier than iron with one of the most dominant processes called the fast-neutron capture process or the r-process. To understand the exact path of the r-process and its link to…
Title: SNeND Measurements: “Supernova Neutrino constrained by Neutrino Data” for DUNE Abstract: Neutrinos are the electrically neutral elementary particles with finite mass. The discovery of their non-zero masses is the first instance of a conflict with the Standard Model of particle physics, which has successfully described elementary particles and interactions but leaves questions unanswered. The…
Title: Nuclear Physics and the Origins of the Heaviest Elements Abstract: The groundbreaking discovery of the neutron star merger event GW170817 ushered in a new era of multimessenger astrophysics. One key observation was the optical signal that accompanied GW170817, which provided the first firm proof that neutron star mergers produce heavy elements. Still, it is…
Dr Ajay Ram Srimath Kandada received his PhD in Physics from Politecnico di Milano, Italy in 2013 for his work on ultrafast spectroscopy of organic photovoltaic materials. He subsequently moved to the Italian Institute of Technology as a post-doctoral researcher to investigate bulk metal-halide perovskites' excited state dynamics and defect physics. In 2016, he received…
Exploring quantum algorithms for simulating spin models and benchmarking them
Speaker: Eve Armstrong Institution: New York Institute of Technology, Manhattan Campus Title: "Predicting the Behavior of Sparsely-Sampled Systems Across Astrophysics, Neurobiology, and Epidemiology” Abstract: Inference is a term that encompasses many techniques including machine learning and statistical data assimilation (SDA). Unlike machine learning, which harnesses predictive power from extremely large data sets, SDA is designed for…
Title: Setup and Applications of SAXS/WAXS at the Life Sciences X-ray Scattering Beamline Abstract: Small and Wide X-ray Scattering is a popular technique to characterize the size, shape and interactions amongst particles in solution. Scattering from particles in solution is isotropic and averaged over all particle orientations, thus 3-D information is lost. Resulting datasets are…