1. Search for muonic dark force and performance studies of Lepton Identification at Belle II
- Author
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Maiti, Rajesh Kumar
- Subjects
Lepton ID ,Neural Networks ,Belle II ,Dark Force ,Neuronale Netze - Abstract
Despite being a great success of the standard model (SM) of particle physics in the description of natural phenomena, there is still some information missing that may lead to a better understanding of the Universe. One of the most important issues is dark matter (DM). The only information we have about it comes from gravitational measurements; while other interactions are still unknown. In this thesis, we are planning to do some indirect searches of dark matter via coupling to the SM particles. Since these interactions are very weak, large amounts of data are required. Belle II experiment is a successor of the Belle experiment located at KEK in Tsukuba. Belle II already started its data commissioning in 2018, plans to accumulate 50 ab−1 of data in near future. We are planning to search for a Z′ boson at Belle II, a new gauge boson that couples only to the second and third lepton family, produced alongside two muons and further decaying into another pair of muons, resulting in a four muon final state (muonic dark force). As this kind of event is mainly suppressed due to large backgrounds, one can use machine learning techniques to separate signals and backgrounds. A dedicated fitting technique we are planning to implement to give our discovery potential. Also, we are planning to do possible displaced vertex signatures, in case of a long-lived Z′ boson.Being dominated by backgrounds, these kinds of searches strongly depend on particle identification algorithms for identifying leptons. Belle II is using a standard particle identification algorithm using the Likelihood of different sub-detectors, one can improve it by using a Machine Learning based particle identification algorithm. For that purpose, I am planning to give focus on the electromagnetic calorimeter and central drift chamber of the Belle II sub-detector.
- Published
- 2023
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