STI Publications - View Publication #21305
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Publication Information
| Title | Determination of Pion and Kaon Structure Using the Sullivan Process at Moderate to large Fractional Momentum | ||||
| Abstract | Significant progress has been made in describing the structure of hadrons in terms of Quantum ChromoDynamics (QCD) degrees of freedom. The recently developed framework of Generalized Parton Distribtions (GPDs) may provide the path towards three-dimensional imaging of the hadronic structure. Integrating the GPDs over the fractional momentum (x), the form factors are obtained which are integrally related to understanding the emergent hadron mass-generating mechanism (EHM) embedded in QCD and the mass-scale that characterizes the proton [Roberts (2016)]. The Sullivan process, in which one scatters electrons off the proton¿s virtual meson cloud and thus creates a meson target, is used to probe this structure. Studies of kaon electroproduction offer unique opportunities in this. The last two decades saw a dramatic improvement in the precision of charged meson form factor data, and new results have become available on the transition form factor. The KaonLT experiment (E12-09-011) | ||||
| Author(s) | Richard Trotta | ||||
| Publication Date | May 2024 | ||||
| Document Type | Thesis | ||||
| Primary Institution | Catholic University of America , Washington, DC | ||||
| Affiliation | Exp Nuclear Physics / Experimental Halls / Hall C | ||||
| Funding Source | Nuclear Physics (NP), PHY2309976, PHY2012430, PHY1714133, JSA fellowship 2019, 2020, Jefferson Lab EIC fellowship 2018, 2021 | ||||
| Proprietary? | No | ||||
| This publication conveys | Literature Review and Summary | ||||
| Document Numbers |
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| Associated with an experiment | Yes | ||||
| Experiment Number(s) |
E12-09-011
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| Associated with EIC | Yes | ||||
| Supported by Jefferson Lab LDRD Funding | No |
Thesis
| Thesis Type | PhD |
| Advisor | Institution |
| 1. Tanja Horn | The Catholic University of America |
Attachments/Datasets/DOI Link
| Document(s) |
PhDThesis3.pdf
(STI Document)
|
| Dataset(s) | (none) |
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