Diffusion-Based Unfolding for Collider for Jefferson Lab; The Struggle over Anonymous Web Browsing
Kim, Tyler, School of Engineering and Applied Science, University of Virginia
Norton, Peter, EN-Engineering and Society, University of Virginia
Fox, Geoffrey, PV-BII-Biocomplexity Initiative, University of Virginia
While digital systems support essential enterprises they can also enable criminal abuses.
Diffusion models can be used to unfold observables from a particle accelerator. Collider data requires correction to correspond with theoretical calculations. The capstone research team contributed a diffusion model approach for unfolding particle data from Jefferson Lab using a full-event latent variational diffusion model. The capstone team has run the Jefferson Lab data on the provided variational diffusion model without error. The project is still in progress.
Anonymous web browsing is useful both to cybercriminals and to dissidents resisting authoritarian regimes. Defenders of anonymous web browsing regard it as essential to privacy and democracy, while critics warn that it shields dangerous cybercriminals.
BS (Bachelor of Science)
Diffusion, Cybersecurity, Particle Physics, Anonymity, Jefferson Lab
School of Engineering and Applied Science
Bachelor of Science in Computer Science
Technical Advisor: Geoffrey Fox
STS Advisor: Peter Norton
Technical Team Members: Zeyu Xia
English
All rights reserved (no additional license for public reuse)
2025/05/08