| Report Title | Authors | Date | File |
|---|---|---|---|
| Measuring the Location of Dark Matter Interactions in SuperCDMS Detectors Using Machine Learning Techniques | Lyssa Dale-Davies and Cary Kan | April 2026 | Measuring the Location of DM Interactions... |
| Investigation of Chi-Squared Distribution Discrepancies Between CUTE Data and Simulation Data in SuperCDMS | Nick Wang | December 2025 | Investigation of ChiSquared... |
| Phonon Physics in SuperCDMS HV Detector | Stephanie Cui | December 2024 | Phonon Physics in SuperCDMS HV Detector |
| Optimizing Machine Learning Techniques for Dark Matter Detection: Enhancing Position Resolution in SuperCDMS Detectors | Stephanie Cui | August 2024 | Optimizing ML Techniques for DM Detection... |
| Ensemble Learning Model for Improving Position and Energy Resolution for SuperCDMS | Geting Qin | April 2024 | Ensemble Learning Model for Improving Position and Energy Resolution for SuperCDMS... |
| Neural Networks for Improved Dark Matter Detection: Advances in SNOLAB SuperCDMS Detector Resolution | Arsalan Khan | April 2024 | NN for Improved DM Detection... |
Reports by Toronto SuperCDMS
This page has reports produced by SuperCDMS group members.