Asteroid models reconstructed from the Lowell Photometric Database and WISE data
Josef Durech, Josef Hanus, Victor Ali-Lagoa

TL;DR
This study combines optical and infrared data to derive shape and spin models for nearly 900 asteroids, significantly expanding the known dataset and revealing spin distribution asymmetries.
Contribution
The paper introduces a novel method of combining sparse optical photometry with thermal infrared data to model asteroid shapes and spins, increasing the number of known models.
Findings
Derived shape models for about 900 asteroids.
Significantly increased the number of asteroids with known rotation states.
Discovered a discrepancy in prograde and retrograde spin distributions for small asteroids.
Abstract
Information about the spin state of asteroids is important for our understanding of the dynamical processes affecting them. However, spin properties of asteroids are known for only a small fraction of the whole population. To enlarge the sample of asteroids with a known rotation state and basic shape properties, we combined sparse-in-time photometry from the Lowell Observatory Database with flux measurements from NASA's WISE satellite. We applied the light curve inversion method to the combined data. The thermal infrared data from WISE were treated as reflected light because the shapes of thermal and visual light curves are similar enough for our purposes. While sparse data cover a wide range of geometries over many years, WISE data typically cover an interval of tens of hours, which is comparable to the typical rotation period of asteroids. The search for best-fitting models was done…
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