Date of Award
12-1-2021
Language
English
Document Type
Master's Thesis
Degree Name
Master of Science (MS)
College/School/Department
Department of Physics
Content Description
1 online resource (xii, 78 pages) : illustrations (some color)
Dissertation/Thesis Chair
Cecilia Levy
Committee Members
Matthew M Szydagis, Carolyn MacDonald
Keywords
Dark Matter, Direct detection, Nucleation, Snowball Chamber, Dark matter (Astronomy), Weak interactions (Nuclear physics), Supercooling
Subject Categories
Astrophysics and Astronomy | Physics
Abstract
Dark Matter is the invisible massive particle that makes up over 26.8 percent of the mass-energy content of the universe. Weakly Interacting Massive Particles, or WIMPs, are one of the candidates of dark matter particles. Many scientists around the world are trying to figure out how to detect detect dark matter using either indirect search, direct production or direct detection experiments. However, due to the lack of evidence of finding WIMPs in direct detection experiments at a large mass scale, a call for investigating WIMPs at a lower mass range is attracting more attention.
Recommended Citation
Huang, Yujia, "Image data analysis and design optimization of the snowball chamber" (2021). Legacy Theses & Dissertations (2009 - 2024). 2710.
https://scholarsarchive.library.albany.edu/legacy-etd/2710