Reviews existing citizen science efforts like Radio Galaxy Zoo and RAD@home in radio astronomy and proposes SKA@home as a hybrid human-AI approach for SKA data.
Galaxy Zoo: Morphological classification of galaxy images from the Illustris simulation
1 Pith paper cite this work. Polarity classification is still indexing.
abstract
Modern cosmological simulations model the universe with increasing sophistication and at higher spatial and temporal resolutions. These enhancements permit detailed comparisons between the simulation outputs and real observational data. Recent projects such as Illustris are capable of producing simulated images that are comparable to those obtained from local surveys. This paper tests how well Illustris achieves this goal across a diverse population of galaxies using visual morphologies derived from Galaxy Zoo citizen scientists. Morphological classifications provided by volunteers for simulated galaxies are compared with similar data for a compatible sample of images drawn from the SDSS Legacy Survey. This paper investigates how simple morphological characterization by human volunteers asked to distinguish smooth from featured systems differs between simulated and real galaxy images. Differences are identified, which are likely due to the limited resolution of the simulation, but which could be revealing real differences in the dynamical evolution of populations of galaxies in the real and model universes. Specifically, for stellar masses $M_{\star}\lesssim10^{11}M_{\odot}$, a larger proportion of Illustris galaxies that exhibit disk-like morphology or visible substructure, relative to their SDSS counterparts. Toward higher masses, simulated and observed galaxies converge and exhibit similar morphology distributions. The stellar mass threshold indicated by this divergent behavior confirms recent works using parametric measures of morphology from Illustris simulated images. When $M_{\star}\gtrsim10^{11}M_{\odot}$, the Illustris dataset contains fewer galaxies that classifiers regard as unambiguously featured. These results suggest that comparison between the detailed properties of observed and simulated galaxies, even when limited to reasonably massive systems, may be misleading.
fields
astro-ph.GA 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
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Citizen Science Research with the Square Kilometre Array Observatory (SKAO)
Reviews existing citizen science efforts like Radio Galaxy Zoo and RAD@home in radio astronomy and proposes SKA@home as a hybrid human-AI approach for SKA data.