Grooving in the shadows: a search for Stealth and R-Parity violating supersymmetry in CMS data using the ABCDisCoTEC method

Crossman, Bryan
2025-01
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Grooving in the shadows: a search for Stealth and R-Parity violating supersymmetry in CMS data using the ABCDisCoTEC method

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2025-01

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A search for Stealth and R-Parity violating supersymmetry in final states with many jets and little to no missing transverse momentum is presented. This search uses a novel, neural-network-based technique for data-driven background estimation known as the ABCDisCoTEC approach. Events are classified using two independent neural network discriminators that are used to carry out a side-band extrapolation. No significant excess of events is observed for either the Stealth or R-Parity violating signal models. Upper limits are placed on the mass of the top squark at 700 GeV and 930 GeV for the R-Parity violating and Stealth supersymmetry models, respectively.

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University of Minnesota Ph.D. dissertation. Janaury 2025. Major: Physics. Advisor: Nadja Strobbe. 1 computer file (PDF); xii, 158 pages.

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Crossman, Bryan. (2025). Grooving in the shadows: a search for Stealth and R-Parity violating supersymmetry in CMS data using the ABCDisCoTEC method. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/271379.

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