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DOE OSTI · 2531082

Beyond Classical Searches: Enabling New Discovery Potential at the LHC (Final Technical Report)

Lee, Lawrence [Univ. of Tennessee, Knoxville, TN (United States)]
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Abstract

The major goals of this project are: • 1. Employ Machine Learning to solve combinatorial problems in searches for new physics phenomena, with a focus on multijet signatures. • 2. Enable high-precision tracking for CMS at the HL-LHC by carrying out the Outer Tracker project for the Phase-II detector upgrade. Compared to the original proposal, the scope is reduced due to reduced resources in final award. In particular, the program of long-lived particle searches was descoped at that time due to lack of resources.

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BibTeXRIS

Lee, Lawrence [Univ. of Tennessee, Knoxville, TN (United States)]. 2025-03-18. Beyond Classical Searches: Enabling New Discovery Potential at the LHC (Final Technical Report). https://doi.org/10.2172/2531082

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