dc.contributor.advisor | Wilson, Graham | |
dc.contributor.author | Singer-Anguiano, Justin Lee | |
dc.date.accessioned | 2018-10-24T22:02:25Z | |
dc.date.available | 2018-10-24T22:02:25Z | |
dc.date.issued | 2017-12-31 | |
dc.date.submitted | 2017 | |
dc.identifier.other | http://dissertations.umi.com/ku:15641 | |
dc.identifier.uri | http://hdl.handle.net/1808/27001 | |
dc.description.abstract | Mass constrained fitting is a technique that improves jet energy resolution. The fit is performed by assigning a well-known mass to a decaying particle and minimizing a χ 2 consisting of the constituent particle’s measured parameters. This technique is utilized in an abstract frame work which applies multiple constraints to arbitrary multi- generational particle topologies. The software is constructed with the ability to both fit designated particles and automate the analysis of all particle parameters post-fit, including Monte Carlo information. The energy reconstruction is tested for single and multiple constraints in the decays of J/ψ → μ + μ − , π 0 → γγ, η → π + π − γ, and η → π + π − π 0 . | |
dc.format.extent | 63 pages | |
dc.language.iso | en | |
dc.publisher | University of Kansas | |
dc.rights | Copyright held by the author. | |
dc.subject | Particle physics | |
dc.subject | Constrained Fitting | |
dc.subject | Mass Constraint | |
dc.title | Improved Energy Reconstruction with Generalized Particle Decays by Applying Multiple Constraints | |
dc.type | Thesis | |
dc.contributor.cmtemember | Bean, Alice | |
dc.contributor.cmtemember | Rogan, Chris | |
dc.thesis.degreeDiscipline | Physics & Astronomy | |
dc.thesis.degreeLevel | M.S. | |
dc.identifier.orcid | | |
dc.rights.accessrights | openAccess | |