Machine Learning on Simulated Forward Calorimeter Upgrade for JEF

Document #:

GlueX-doc-6600-v1

Document type:

Thesis

Submitted by:

Azizah Mahmood

Updated by:

Azizah Mahmood

Document Created:

04 Sep 2024, 15:41

Contents Revised:

04 Sep 2024, 15:41

Metadata Revised:

12 Oct 2024, 11:55

Abstract:

Masters thesis on using Machine Learning to distinguish true photons from hadronic split-offs detected by the JEF and GlueX experiments

Files in Document:

• AM_thesis_July24.pdf (40.0 MB)

Topics:

• JEF Physics

Authors:

• Azizah Mahmood

Keywords:

reconstruction barrel calorimeter jef physics forward calorimeter