Quantifying the Poor Purity and Completeness of Morphological Samples Selected by Galaxy Colour
Rebecca J. Smethurst; Karen L. Masters; Brooke D. Simmons; Izzy L. Garland; Tobias Géron; Boris Häußler; Sandor Kruk; Chris J. Lintott · 2021 · arXiv
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract (excerpt)
The galaxy population is strongly bimodal in both colour and morphology, and the two measures correlate strongly, with most blue galaxies being late-types (spirals) and most early-types, typically ellipticals, being red. This observation has led to the use of colour as a convenient selection criteria to make samples which are then labelled by morphology. Such use of colour as a proxy for morphology results in necessarily impure and incomplete samples. In this paper, we make use of the morphological labels produced by Galaxy Zoo to measure how incomplete and impure such samples are, considering
Excerpt shown for reference under fair use — read the full paper at the publisher.
About to run something similar?
Run an AI Precheck on your own design to catch failure modes like this one before you spend the time. Your first desk check is free.
Related failures
Resonant amplitude distribution of the Hilda asteroids and the free-floating planet flyby scenario
Negative / Null Result Report3D Simulations of Plasma Filaments in the Scrape Off Layer: A Comparison with Models of Reduced Dimensionality
Negative / Null Result ReportHerd Behaviour in Public Goods Games
Negative / Null Result ReportAccurate coarse-graining of small organic molecules in melts and thin films using density-dependent potentials
Negative / Null Result ReportSemi-Analytical Models for Lensing by Dark Halos: I. Splitting Angles
Negative / Null Result ReportSimulated Annealing with Tsallis Weights - A Numerical Comparison
WASTE indexes this work — it does not host or republish it. Failure-type classification is automated and approximate.
Metadata source: arXiv
