Physics-Informed Classification of β+ Decay
Conducting research on gamma-ray astrophysics using high-purity germanium detector data as part of the COSI (Compton Spectrometer and Imager) mission. Built a Naive Bayes classifier from scratch, including feature extraction, density-matrix likelihood, Bayes-rule decision, and evaluation pipeline. Exploring potential applications of neural networks for similar problems.
Affiliation
NASA SMEX / UC Berkeley Space Sciences Laboratory
Partners
Keywords
- Naive Bayes Classifier
- Event Reconstruction
- Gamma-Ray Astrophysics
- Compton Physics
- High-Purity Germanium Detectors
- Physics-Informed Machine Learning
- Maximum Likelihood Estimation
- Python
- C++
- PyTorch
- CUDA
- Slurm
- Weights & Biases
- Docker
- MEGAlib