This project is conducted at Medium Energy Group at Physics Division of Argonne National Laboratory as part of its research program in experimental nuclear physics and hadron structure. Understanding the internal structure of the proton, including the dynamics of quarks and gluons, is a central goal of modern nuclear physics. The student will analyze electron–proton scattering data from the CLAS12 detector at Jefferson Laboratory to study semi-inclusive deep inelastic scattering (SIDIS) with identified kaons and protons in the final state. Kinematic distributions of this reaction can be examined to investigate the separation between current and target fragmentation regions in SIDIS events. A key focus will be understanding pion contamination in kaon-identified samples and its impact on measured observables, including spin-dependent asymmetries. Data-driven techniques will be used to quantify misidentification effects across different kinematic regions. Machine-learning-based methods will be explored to improve pion–kaon separation and to assess their performance relative to standard identification approaches.
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Job Type
Full-time
Career Level
Intern
Education Level
No Education Listed