TY  - JOUR
TI  - PSCAE-SN: Physics-Aware Spiking RFI Detection for Simulated MeerKAT Data.
AU  - Furgurson Dawuda Abubakari Awuni
AU  - Linus Kweku Labik
PY  - 2026
JO  - Zenodo (CERN European Organization for Nuclear Research)
DO  - 10.5281/zenodo.21794883
UR  - https://doi.org/10.5281/zenodo.21794883
AB  - This archive contains version 1.0.0 of PSCAE-SN, a physics-aware spiking convolutional autoencoder for detecting radio-frequency interference in simulated MeerKAT data. It includes the executed Jupyter notebook used for model training, evaluation, and figure generation, together with citation metadata, documentation, and the MIT License. The notebook reproduces five stochastic training runs and the reported pixel-level detection metrics using the publicly available TABASCAL SNN-NLN dataset. Trained model weights are not included; users must retrain the model by executing the notebook.
ER  -