Correlation Measurement of Lambda-anti-Lambda, Lambda-Lambda and anti-Lambda-anti-Lambda with the ATLAS detector at s=7 TeV
dc.contributor.author | Cheng, Hok Chuen | |
dc.date.accessioned | 2017-10-05T20:27:39Z | |
dc.date.available | NO_RESTRICTION | |
dc.date.available | 2017-10-05T20:27:39Z | |
dc.date.issued | 2017 | |
dc.date.submitted | 2017 | |
dc.identifier.uri | https://hdl.handle.net/2027.42/138572 | |
dc.description.abstract | This thesis summaries the measurements of correlations between Lambda0-anti-Lambda0, Lambda0-Lambda0, and anti-Lambda0-anti-Lambda0 hyperon pairs produced inclusively at the LHC, which are useful for a better understanding of the quark-antiquark pair production and jet fragmentation and hadronization processes. The analysis is based on hyperon pairs selected using the muon and minimum bias data samples collected at the ATLAS experiment from proton-proton collisions at a center-of-mass energy of 7 TeV in 2010. Excess Lambda0-anti-Lambda0 are observed near the production threshold and are identified to be originated from the parton system in the string model in the MC sample, decaying either directly or through heavy strange resonances such as Sigma0 and Sigma∗(1385). Dynamical correlations have been explored through a correlation function defined as the ratio of two-particle to single-particle densities. Positive correlation is observed for Lambda0-anti-Lambda0 and anticorrelation is observed for Lambda0-Lambda0 and anti-Lambda0-anti-Lambda0 for Q in [0,2] GeV. The structure replicates similar correlations in p-pbar, p-p, and pbar-pbar events in PYTHIA generator as predicted by the Lund string fragmentation model. Parameters of the “popcorn” mechanism implemented in the PYTHIA generator are tuned and are found to have little impact on the structure observed. The spin composition of the sample is extracted using a data-driven reference sample built by event mixing. Appropriate corrections have been made to the kinematic distributions in the reference sample by kinematic weighting to make sure that the detector effects are well modeled. A modified Pearson’s chi-squared test statistics is calculated for the cosθ∗ distribution to determine the best-fitted A-value for data. The results are consistent with zero for both like-type and unlike-type hyperon pairs in Q in [0,10] GeV and Q in [1,10] GeV respectively. The data statistics in the range of Q in [0, 1] GeV is currently too low for the estimation of the emitter size for Fermi-Dirac correlation. | |
dc.language.iso | en_US | |
dc.subject | dynamical and spin correlations | |
dc.subject | Lambda hyperon | |
dc.subject | LHC | |
dc.subject | ATLAS | |
dc.subject | Lund string model | |
dc.subject | popcorn mechanism | |
dc.title | Correlation Measurement of Lambda-anti-Lambda, Lambda-Lambda and anti-Lambda-anti-Lambda with the ATLAS detector at s=7 TeV | |
dc.type | Thesis | en_US |
dc.description.thesisdegreename | PhD | en_US |
dc.description.thesisdegreediscipline | Physics | |
dc.description.thesisdegreegrantor | University of Michigan, Horace H. Rackham School of Graduate Studies | |
dc.contributor.committeemember | Neal, Homer A | |
dc.contributor.committeemember | Jovanovic, Igor | |
dc.contributor.committeemember | Aidala, Christine A | |
dc.contributor.committeemember | Akhoury, Ratindranath | |
dc.contributor.committeemember | Zhu, Junjie | |
dc.subject.hlbsecondlevel | Physics | |
dc.subject.hlbtoplevel | Science | |
dc.description.bitstreamurl | https://deepblue.lib.umich.edu/bitstream/2027.42/138572/1/hccheng_1.pdf | |
dc.identifier.orcid | 0000-0002-8912-4389 | |
dc.identifier.name-orcid | Cheng, Hok-Chuen; 0000-0002-8912-4389 | en_US |
dc.owningcollname | Dissertations and Theses (Ph.D. and Master's) |
Files in this item
Remediation of Harmful Language
The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language in catalog records, finding aids, or elsewhere in our collections anonymously through our metadata feedback form. More information at Remediation of Harmful Language.
Accessibility
If you are unable to use this file in its current format, please select the Contact Us link and we can modify it to make it more accessible to you.