Bansil, Hardeep Singh (2014). Diffractive dijet production in √s = 7 TeV pp collisions at the ATLAS Experiment. University of Birmingham. Ph.D.
|
Bansil14PhD.pdf
PDF - Accepted Version Download (13MB) |
Abstract
A data sample of pp collisions with an integrated luminosity of 6.75 nb−1 was collected using a combination of a minimum bias trigger and a single jet trigger at √s = 7 TeV using the ATLAS detector at the Large Hadron Collider. It is analysed to study diffractive dijet production, i.e. events with a hadronic system containing at least two jets in addition to a large region of pseudorapidity devoid of hadronic activity. The cross section is presented differentially with respect to ΔηF, the largest continuous region of pseudorapidity which extends from the edge of the detector at η = ±4.9 and contains no final state particles above threshold momentum cuts, over the region 0 < ΔηF < 6.5. It is also presented differentially in the variable ξ±, which estimates the fractional momentum loss of the proton in single diffractive dissociation (pp → pX) events. Comparing the data distributions with a Monte Carlo model suggest that fluctuations in the hadronisation process allow non-diffractive dijets to look like diffractive events, but that the data cannot be described solely by non-diffractive dijet production. In addition, the monitoring of the electromagnetic and jet efficiencies for the ATLAS Level-1 Calorimeter Trigger is described.
Type of Work: | Thesis (Doctorates > Ph.D.) | |||||||||
---|---|---|---|---|---|---|---|---|---|---|
Award Type: | Doctorates > Ph.D. | |||||||||
Supervisor(s): |
|
|||||||||
Licence: | ||||||||||
College/Faculty: | Colleges (2008 onwards) > College of Engineering & Physical Sciences | |||||||||
School or Department: | School of Physics and Astronomy | |||||||||
Funders: | Science and Technology Facilities Council | |||||||||
Subjects: | Q Science > QC Physics | |||||||||
URI: | http://etheses.bham.ac.uk/id/eprint/4814 |
Actions
![]() |
Request a Correction |
![]() |
View Item |
Downloads
Downloads per month over past year
