Graduation Semester and Year
2013
Language
English
Document Type
Dissertation
Degree Name
Doctor of Philosophy in Physics and Applied Physics
Department
Physics
First Advisor
Jaehoon Yu
Abstract
Particle physics seeks to describe matter in its most elementary structure. With lepton colliders; couplings of gauge bosons and heavy quarks, physics beyond the Standard Model, and properties of a recently discovered Higgs boson can be studied with very high precision. Particle Flow Algorithms (PFA), able to achieve necessary jet-energy and di-jet mass resolutions, require fine transverse and longitudinal segmentation from calorimeters. To validate digital imaging calorimetry in this context, a Digital Hadron Calorimeter (DHCAL) with single-bit (digital) readout on imbedded electronics from 1×1 cm2 pads throughout its volume has been constructed and exposed to particle beams as a large prototype with 54 layers of Resistive Plate Chambers and nearly 500k readout channels. With this data, I report on a sophisticated statistical technique to improve the single particle energy resolution using weights that take advantage of correlations of the energy deposit between layers. Limitations to resolution improvement are identified and possible modifications are discussed. Simulation is used to verify particle identification techniques applied to the data.
Disciplines
Physical Sciences and Mathematics | Physics
License
This work is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 4.0 International License.
Recommended Citation
Smith, Jacob Russell, "Optimization Of Energy Resolution In The Digital Hadron Calorimeter Using Longitudinal Weights" (2013). Physics Dissertations. 59.
https://mavmatrix.uta.edu/physics_dissertations/59
Comments
Degree granted by The University of Texas at Arlington