THESIS
2023
1 online resource (xvi, 88 pages) : illustrations (chiefly color)
Abstract
Collider experiments have confirmed that the Standard Model (SM) of particle physics
has been highly successful in predicting the existence and properties of subatomic particles
(hereinafter “particles”). The Higgs boson discovered in 2012 was the final piece of the
SM whose existence had remained to be confirmed. Despite such success, however, some
questions pertaining to the SM remain unanswered. This may imply the existence of
physics beyond the SM. To improve the capability of colliders to explore the underlying
physics, dedicated strategies are needed for data analysis, especially for the ones involving
hadronic processes where the produced particles are rich. In this thesis, we first introduce
the concept of persistent homology to characterize the topological structure of jets. Th...[
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Collider experiments have confirmed that the Standard Model (SM) of particle physics
has been highly successful in predicting the existence and properties of subatomic particles
(hereinafter “particles”). The Higgs boson discovered in 2012 was the final piece of the
SM whose existence had remained to be confirmed. Despite such success, however, some
questions pertaining to the SM remain unanswered. This may imply the existence of
physics beyond the SM. To improve the capability of colliders to explore the underlying
physics, dedicated strategies are needed for data analysis, especially for the ones involving
hadronic processes where the produced particles are rich. In this thesis, we first introduce
the concept of persistent homology to characterize the topological structure of jets. These
topological invariants measure the multiplicity and connectivity of jet branches at a given
scale threshold, and their persistence indicates the evolution of each topological feature
as this threshold varies. With the knowledge provided by these measurements, we can
reconstruct the topological phylogenetic tree for each jet. Such a technique opens a new
angle to look into jet physics. We then introduce a cosmic microwave background(CMB)
like observable scheme for use in future e+e− colliders to address the deformation and loss
of information in jet clustering and thus improve the precision of measuring hadroncic
events. In this scheme, the event-level kinematics is encoded as Fox–Wolfram moments
at the leading order and as multi-spectra of spherical harmonics at higher orders. We
show that the difficulty measuring hadronic events can be well addressed by synergizing
the event-level information with the data analysis using a deep neutral network. At last, the directions for future exploration are discussed.
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