Merger or Not: Accounting for Human Biases in Identifying Galactic Merger Signatures
Erini L. Lambrides et al 2021 ApJ 919 43
To err is human: visual assessments of galaxy mergers are confounded by human biases, but probabilistic modeling can account for these biases and enable correct labeling of galaxies to within 1% accuracy.