Dijets are produced in abundance at the Large Hadron Collider as predicted by quantum chromodynamics (QCD). However, several theories beyond the Standard Model of Particle Physics predicts new phenomena, which also result in dijet final states. This thesis presents searches for such new phenomena using different techniques. One approach is to look for jets, that originate from top quarks. We know, that the top quark, being the heaviest fundamental particle, has a large coupling to the Higgs field. Therefore, it is appealing to think, that the top quark could play a special role in understanding the fine tuning problem of the Higgs mass. One model of interest is the topcolor assisted technicolor, which predicts a Z'TC2 boson, that would appear as a resonance in the invariant mass spectrum. Limits are set on this theory by using the 139 fb−1 of data collected at √s = 13 TeV by ATLAS.
Another approach is to have a more inclusive selection and not only look at the invariant mass spectrum, but also the angular distribution of the two jets. This makes it possible to look for non-resonant signals like those coming from a contact interaction with a compositeness scale, Λ, which is much higher than the center of mass energy at the Large Hadron Collider. Limits are set on this theory by using 37 fb−1 of data. Studies, conducted to improve this analysis, are also presented.
A prerequisite to perform these searches is to have well-calibrated jets. Different methods are used to calibrate the jets at different transverse momentum, pT, ranges. In order to calibrate high pT jets, the calorimeter response to the single particles, that make up the jet, is studied. In this way it is possible to estimate the uncertainty on the jet energy scale at the highest pT, where there are very few events in data.
- Åkesson, Torsten, Supervisor
- Rathsman, Johan, Assistant supervisor
- Doglioni, Caterina, Assistant supervisor
|2020 Sept 25
|Published - 2020
Place: Rydbergssalen, Fysiska institutionen, Professorsgatan 1, Lund Join via zoom: https://lu-se.zoom.us/j/66083054241?pwd=T3NSTEEybXowSTBWaGpXczVwK3QyZz09 Password: 936709
Name: Florencia Canelli
Affiliation: ETH Zurich