THESIS
2023
1 online resource (xvii, 135 pages) : illustrations (chiefly color)
Abstract
The unsolved puzzles in nature suggest that the Standard Model (SM) is yet incomplete.
We are now dedicating to validate the SM to a high precision and search for new
physics (NP). In this thesis, we argue that colliders offer excellent experimental facilities
with new opportunities emerging from the strong power of future colliders and advanced
data analysis techniques. We focus on flavor physics and demonstrate that the Z factory
run at future circular lepton colliders such as CEPC or FCC-ee provides an opportunity
to test lepton flavor universality (LFU). We conduct a systematic study of LFU-violating
observables and explore their sensitivity robustness against detector performance and
their potential improvement with the message of event shape or beyond b-hadron decays.
We interpret...[
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The unsolved puzzles in nature suggest that the Standard Model (SM) is yet incomplete.
We are now dedicating to validate the SM to a high precision and search for new
physics (NP). In this thesis, we argue that colliders offer excellent experimental facilities
with new opportunities emerging from the strong power of future colliders and advanced
data analysis techniques. We focus on flavor physics and demonstrate that the Z factory
run at future circular lepton colliders such as CEPC or FCC-ee provides an opportunity
to test lepton flavor universality (LFU). We conduct a systematic study of LFU-violating
observables and explore their sensitivity robustness against detector performance and
their potential improvement with the message of event shape or beyond b-hadron decays.
We interpret these results in a model-independent approach and constrain the SM effective
field theory (SMEFT) Wilson coefficients to ≲ O(1) with the cut-off scale up to
O(10)TeV. We also show new opportunities from the data analysis side by using novelty
detection techniques to search for NP. Our approach exploits the complementarity between
clustering-based and isolation-based algorithms, leading to significant performance
improvements and greater applicability of novelty detection at colliders. We demonstrate
our scheme with various gaussian samples and do a benchmark study by applying our algorithm
to detect two significantly different signals at the LHC featuring a tt̄γγ final state:
tt̄h, giving a narrow resonance in the diphoton mass spectrum, and gravity-mediated supersymmetry,
resulting in broad distributions at high transverse momentum. Compared
to existing dedicated searches at the LHC, our scheme shows encouraging sensitivities for
detecting both signals.
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