Show simple item record

dc.contributor.advisorWilson, Graham
dc.contributor.authorSinger-Anguiano, Justin Lee
dc.date.accessioned2018-10-24T22:02:25Z
dc.date.available2018-10-24T22:02:25Z
dc.date.issued2017-12-31
dc.date.submitted2017
dc.identifier.otherhttp://dissertations.umi.com/ku:15641
dc.identifier.urihttp://hdl.handle.net/1808/27001
dc.description.abstractMass 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.extent63 pages
dc.language.isoen
dc.publisherUniversity of Kansas
dc.rightsCopyright held by the author.
dc.subjectParticle physics
dc.subjectConstrained Fitting
dc.subjectMass Constraint
dc.titleImproved Energy Reconstruction with Generalized Particle Decays by Applying Multiple Constraints
dc.typeThesis
dc.contributor.cmtememberBean, Alice
dc.contributor.cmtememberRogan, Chris
dc.thesis.degreeDisciplinePhysics & Astronomy
dc.thesis.degreeLevelM.S.
dc.identifier.orcid
dc.rights.accessrightsopenAccess


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record