Author ORCID Identifier

https://orcid.org/0000-0003-4687-1322

Date Available

9-25-2022

Year of Publication

2022

Degree Name

Doctor of Philosophy (PhD)

Document Type

Doctoral Dissertation

College

Arts and Sciences

Department/School/Program

Physics and Astronomy

First Advisor

Dr. Tim Gorringe

Abstract

The muon’s anomalous magnetic moment, aμ, provides a unique way for probing physics beyond the standard model experimentally as it gathers contributions from all the known and unknown forces and particles in nature. The theoretical prediction of aμ has been in greater than 3 σ tension with the experimental measurement since the results of the Muon g-2 Experiment at the Brookhaven National Laboratory (E-821) were published in the early 2000s with a precision of 540 ppb. To settle this tension, the new Fermilab Muon g - 2 Experiment (E-989) is currently taking data with the aim of experimentally determining aμ with a final precision of 140 ppb. The determination of aμ involves measuring the magnetic field in which the muons undergo spin precession and the anomalous part of the spin precession frequency, ωa . We use a new reconstruction approach called the energy integrating method in which the total energy of the decay positrons deposited in the electromagnetic calorimeters is continuously recorded. This reconstruction method for the ωa analysis has different sensitivity to some of the major systematic biases compared to the traditional method which reconstructs individual positron events. Furthermore, we employ a ratio histogramming procedure that has reduced sensitivity to slow variations in the data. In this dissertation the muon g-2 experiment at Fermilab is described followed by a detailed discussion of the Run-2 and Run-3 precession frequency data analysis using the new energy integrating ratio histogramming method.

Digital Object Identifier (DOI)

https://doi.org/10.13023/etd.2022.357

Funding Information

This study was supported by the National Science Foundation award number 1807266 from 2018 to 2022 and the Max Steckler Fellowship in 2017.

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