Classifier Framework Proposed for ALMA Calibration Issues

A new preprint on arXiv introduces a classifier framework designed to identify and analyze bandpass calibration anomalies in data from the Atacama Large Millimeter/submillimeter Array (ALMA). If adopted after peer review, this method could enhance the quality and reliability of astronomical observations from the major observatory.