Distribution of shape elongations of main belt asteroids derived from Pan-STARRS1 photometry
H. Cibulkov\'a, H. Nortunen, J. \v{D}urech, M. Kaasalainen, P., Vere\v{s}, R. Jedicke, R. J. Wainscoat, M. Mommert, D. E. Trilling, E., Schunov\'a-Lilly, E. A. Magnier, C. Waters, H. Flewelling

TL;DR
This study uses Pan-STARRS1 photometric data and a statistical approach to analyze the shape elongation and spin axis distributions of main belt asteroids, revealing size and rotation period dependencies.
Contribution
It introduces a statistical method using the LEADER algorithm to derive asteroid shape and spin distributions from survey data, applicable to large asteroid populations.
Findings
No shape elongation differences for asteroids smaller than 25 km.
Fast rotators (0-4 h) are more spheroidal than slower ones.
Distribution of shape elongation varies with rotation period.
Abstract
Context. A lot of photometric data is produced by surveys such as Pan-STARRS, LONEOS, WISE or Catalina. These data are a rich source of information about the physical properties of asteroids. There are several possible approaches for utilizing these data. Lightcurve inversion is a typical method that works with individual asteroids. Our approach in this paper is statistical when we focused on large groups of asteroids like dynamical families and taxonomic classes, and the data were not sufficient for individual models. Aims. Our aim was to study the distributions of shape elongation and the spin axis latitude for various subpopulations of asteroids and to compare our results, based on Pan-STARRS1 survey, with statistics previously done using different photometric data (Lowell database, WISE data). Methods. We use the LEADER algorithm to compare the and …
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