Use this URL to cite or link to this record in EThOS:
Title: Jets and their substructure at the ATLAS detector : new tools for new physics
Author: Ennis, Joseph Stanford
ISNI:       0000 0004 7227 3948
Awarding Body: University of Warwick
Current Institution: University of Warwick
Date of Award: 2017
Availability of Full Text:
Access from EThOS:
Access from Institution:
This thesis is primarily concerned with two topics: the trigger performance and calibration of large-radius (large-R) jets at the ATLAS detector, and the presentation of a search for new high-mass particles that decay to vector bosons in the fully hadronic decay channel. The performance of the ATLAS large-R jet trigger during 2015 was evaluated and found to be 100% efficient by 380 GeV for all large-R jets. The impact of jet substructure on this trigger was studied, and we discovered that a newly proposed set of variables, anti-subjettiness variables, could reduce trigger rates by approximately 30%, while still accepting 95% of large-R jets from heavy particles. Alongside this, a new calibration method for large-R jets is presented. A neural-network is used to perform a multivariate calibration for jet energy and mass using substructure variables. While there were no gains observed in the jet energy calibration, a 26% improvement in the jet mass resolution was found. A search for X →V V→ qqqq, using large-R jets tagged as boosted vector bosons, was conducted using 37.6 fb -1 of data collected at √s =13 TeV by ATLAS in 2015 and 2016. No significant deviation from the Standard Model was observed and limits were placed on a variety of generic signal models. The Heavy Vector Triplet model A (B) was excluded in the mass range 1:2(1:2) < mV < 3:1(3:5) TeV, the RS graviton with k/M planck = 1 was excluded for 1:3 < mG < 1:6 TeV, and limits on σ x BR were placed on a generic scalar model.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available
Keywords: QC Physics