University of Minnesota
School of Physics & Astronomy
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Neil Schroeder

PAN 432 (office), 612-624-7861
schr1077 @ umn.edu

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Born and raised just outside of Duluth, I spent my childhood outdoors. My free time is mostly split between disc golf, reading, teaching myself computer science stuff (like machine learning), and video games.

If you have class with me and have questions on what I do, physics in general, or about what undergraduate life is like here at Minnesota, feel free to ask as I also got my bachelor's here at the U.

Summary of Interests
Modelling radiation damage in lead-tungstate crystals, Applications of Machine Learning in Physics

About My Work

The LHC has several main experiments. The Compact Muon Solenoid (CMS), one of these experiments, has several subdetectors. The Electromagnetic Calorimeter (ECAL) is a subdetector designed to track and reconstruct charged particles ejected from proton proton collisions. The detection relies on the use of lead tungstate crystals which break down as they are exposed to radiation damage. Modelling this damage and understanding how it affects the measurements made through the crystals allows us to accurately quote systematic errors, thus improving our measurements of quantities such as the mass of the Higgs boson. This is the main focus of my research.

Education

B.S. Physics, University of Minnesota, 2017
Ph.D. Experimental HEP, University of Minnesota, in-progress