A study of asteroid pole-latitude distribution based on an extended set of shape models derived by the lightcurve inversion method
Josef Hanus, Josef Durech, Miroslav Broz, Brian D. Warner, Frederick, Pilcher, Robert Stephens, Julian Oey, Laurent Bernasconi, Silvano Casulli,, Raoul Behrend, David Polishook, Tomas Henych, Martin Lehky, Fumi Yoshida, and, Takashi Ito

TL;DR
This study expands the set of asteroid shape models derived from lightcurve inversion, analyzes their physical properties, and investigates the distribution of asteroid pole latitudes to understand underlying physical and evolutionary processes.
Contribution
The paper introduces 80 new asteroid models from combined sparse and dense photometry, increasing the total models to about 200, and provides a statistical analysis of their physical properties and pole latitude distribution.
Findings
Small asteroids (D < 30 km) tend to have pole latitudes clustered near the ecliptic poles, likely due to YORP effect.
Large asteroids (D > 60 km) show an excess of prograde rotators, suggesting primordial origins.
The latitude distribution patterns support theories of asteroid spin evolution and primordial characteristics.
Abstract
Tens of thousands of sparse-in-time lightcurves from astrometric projects are publicly available. We investigate these data and use them in the lightcurve inversion method to derive new asteroid models. By having a greater number of models with known physical properties, we can gain a better insight into the nature of individual objects and into the whole asteroid population. We use sparse photometry from selected observatories from the AstDyS database, either alone or in combination with dense lightcurves, to determine new asteroid models by the lightcurve inversion method. We present 80 new asteroid models derived from combined data sets where sparse photometry is taken from the AstDyS database and dense lightcurves are from the Uppsala Asteroid Photometric Catalogue (UAPC) and from several individual observers. For 18 asteroids, we present updated shape solutions based on new…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
