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An Automated Probabilistic Asteroid Prediscovery Pipeline

  • Authors: Sage Li, Alex Geringer-Sameth, Nathan Golovich

Sage Li et al 2026 The Astronomical Journal 172 .

  • Provider: AAS Journals

Caption: Figure 5.

Prediscovery significance of candidate sources obtained from our pipeline for selected NEAs. Each panel shows a histogram of the standardized log-likelihood ratio (in units of standard deviations above the null hypothesis expectation) for orbits corresponding to trial sources detected in search regions. There is clear evidence of prediscovery for 2021 DG1 and 2025 FU24, where orbits successfully predict the asteroid’s position across multiple images. The bulk of orbits with standardized log-likelihoods near 0 reflect the null distribution corresponding to spurious sources unrelated to the asteroids (orbits with significance less than −5 are not shown). The asteroids 2022 DB4 and 2022 ED4 are too faint to be detected in ZTF.

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