Machine Learning Reveals Unknown Transient Phenomena in Historic Images
Summary
The paper uses machine learning to uncover previously unrecognized transient astronomical phenomena in historical observatory images. It provides evidence that transients cluster near a nuclear testing window and exhibit a shadow deficit, suggesting a real population beyond plate defects and warranting further investigation.