Asteroids' physical models from combined dense and sparse photometry and scaling of the YORP effect by the observed obliquity distribution
J. Hanu\v{s}, J. \v{D}urech, M. Bro\v{z}, A. Marciniak, B. D. Warner,, F. Pilcher, R. Stephens, R. Behrend, B. Carry, D. \v{C}apek, P. Antonini, M., Audejean, K. Augustesen, E. Barbotin, P. Baudouin, A. Bayol, L. Bernasconi,, W. Borczyk, J.-G. Bosch, E. Brochard, L. Brunetto

TL;DR
This study derives new asteroid shape models using combined dense and sparse photometry, compares observed and simulated pole distributions, and constrains the YORP effect scaling parameter, enhancing understanding of asteroid physical properties and spin evolution.
Contribution
It introduces 119 new asteroid shape models from combined photometric data and refines the YORP effect scaling parameter through pole distribution analysis.
Findings
119 new asteroid models derived from combined data
YORP scaling parameter cYORP constrained between 0.05 and 0.6
Reliability assessment of models from Catalina Sky Survey data
Abstract
The larger number of models of asteroid shapes and their rotational states derived by the lightcurve inversion give us better insight into both the nature of individual objects and the whole asteroid population. With a larger statistical sample we can study the physical properties of asteroid populations, such as main-belt asteroids or individual asteroid families, in more detail. Shape models can also be used in combination with other types of observational data (IR, adaptive optics images, stellar occultations), e.g., to determine sizes and thermal properties. We use all available photometric data of asteroids to derive their physical models by the lightcurve inversion method and compare the observed pole latitude distributions of all asteroids with known convex shape models with the simulated pole latitude distributions. We used classical dense photometric lightcurves from several…
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