The taxonomic distribution of asteroids from multi-filter all-sky photometric surveys
Francesca DeMeo, Benoit Carry

TL;DR
This paper presents a bias-corrected taxonomic classification of asteroids from SDSS data, revealing the distribution of asteroid types by size, surface area, volume, and mass, and providing new insights into the composition of the main belt and Trojans.
Contribution
It introduces a novel method for bias correction and classifies a larger, smaller-asteroid dataset than previous studies, analyzing the distribution by multiple physical quantities.
Findings
Detection of D-types in the inner main belt challenges existing models.
Primitive materials constitute over half of the mass in the main belt and Trojans.
The distribution by mass highlights the dominance of C, P, V, and S types.
Abstract
The distribution of asteroids across the Main Belt has been studied for decades to understand the compositional distribution and what that tells us about the formation and evolution of our solar system. All-sky surveys now provide orders of magnitude more data than targeted surveys. We present a method to bias-correct the asteroid population observed in the Sloan Digital Sky Survey (SDSS) according to size, distance, and albedo. We taxonomically classify this dataset consistent with the Bus and Bus-DeMeo systems and present the resulting taxonomic distribution. The dataset includes asteroids as small as 5 km, a factor of three in diameter smaller than in previous works. Because of the wide range of sizes in our sample, we present the distribution by number, surface area, volume, and mass whereas previous work was exclusively by number. While the distribution by number is a useful…
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