Abstract
AbstractAnomalies drive scientific discovery – they are associated with the cutting edge of the research frontier, and thus typically exploit data in the low signal-to-noise regime. In astronomy, the prevalence of systematics –- both “known unknowns” and “unknown unknowns” – combined with increasingly large datasets, the widespread use of ad hoc estimators for anomaly detection, and the “look-elsewhere” effect, can lead to spurious false detections. In this informal note, I argue that anomaly detection leading to discoveries of new physics requires a combination of physical understanding, careful experimental design to avoid confirmation bias, and self-consistent statistical methods. These points are illustrated with several concrete examples from cosmology.
Publisher
Cambridge University Press (CUP)
Subject
Astronomy and Astrophysics,Space and Planetary Science
Reference25 articles.
1. On minimally parametric primordial power spectrum reconstruction and the evidence for a red tilt
2. Roodman A. 2003, in Statistical Problems in Particle Physics, Astrophysics, and Cosmology, ed. L. Lyons , R. Mount , & R. Reitmeyer , 166
3. Constraining monodromy inflation
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