Testing the Bell inequality for Higgs boson decay With supervised learning Multi-Variate Analysis classifiers
Typ
Examensarbete för masterexamen
Master's Thesis
Master's Thesis
Program
Physics (MPPHS), MSc
Publicerad
2023
Författare
Pantzare, Axel
Modellbyggare
Tidskriftstitel
ISSN
Volymtitel
Utgivare
Sammanfattning
The Higgs boson was discovered in the ATLAS and CMS detectors at LHC in 2012.
Since then, more and more have been learned about its properties including its
mass. Bell introduced a test to verify if particles behaved quantum mechanically or
classically. This was later modified to be able to test a three-level system such as the
Higgs boson decay to W bosons. The data from ATLAS open data was used to train
neural networks to classify these events and filter out the background on simulated
data and then use these to filter out the actual data. This was then tested in the
generalized Bell inequality for a three-level system. It was found that the actual
data filtered out by the network broke the inequality with over 4σ but was far away
from the expected value. This can be due to precision lower than for the training
and validation data because of differences between simulations and actual data but
also because the assumptions of the Higgs boson being at rest in the lab frame were
insufficient.
Beskrivning
Ämne/nyckelord
Bell inequality, Supervised learning, Higgs boson decay, CGLMP inequality.