Asteroid shape modelling with ADAM
Abstract
Technological advancements have made it possible to obtain highly detailed images of asteroids, yet 3-D shape reconstruction remains a challenge. Shape inversion is an ill-posed inverse problem as systematic errors, shadowing effects due to non-convex features, and the limitations of the imaging systems render the direct inversion impossible. Moreover, the coverage of one observation session alone is seldom sufficient for 3-D reconstruction, necessitating a method for the integration of widely different, complementary data sources into a coherent shape solution.We present a new 3-D shape reconstruction method for asteroid models. ADAM, an acronym for all-data asteroid modelling</u>, is a general procedure for combining disk-resolved observational data into a shape model. ADAM handles all disk-resolved data in a uniform manner via 2-D Fourier Transform. Almost all disk-resolved data sources are supported: adaptive optics and other images, range-Doppler radar data, and thermal infrared interferometry</u>.As case studies, we examine the shape of (41) Daphne using the adaptive optics images and photometry</u>, and create a model of the asteroid 2000 ET70</u> from the range-Doppler radar images. Finally, we combine ALMA science verification data, adaptive optics images, occultations</u>, and lightcurve</u> data to study the shape of the large main-belt asteroid (3) Juno.
- Publication:
-
IAU General Assembly
- Pub Date:
- August 2015
- Bibcode:
- 2015IAUGA..2256494V