2015/01/23 by Matti Viikinkoski, Mikko Kaasalainen, Josef Ďurech +1 · 64 citations
Earth and Planetary Sciences · Physics and Astronomy · #Asteroid #Astro and Planetary Science #Code (set theory) #Convergence (economics) #Data cube #Data type #Occultation #Paleontology and Stratigraphy of Fossils #Pixel #Planetary Science and Exploration #Projection (relational algebra) #Series (stratigraphy) #astro-ph.EP #astro-ph.IM
paper · pdf · doi:10.1051/0004-6361/201425259
published in Astronomy and Astrophysics 576, A8 (EDP Sciences) · 11 pages, submitted to A&A
arxiv created 2015/01/23 · openalex publication_date 2015/02/10 · arxiv updated 2015/03/18 · openalex created_date 2016/06/24 · openalex updated_date 2026/08/05
We introduce ADAM, the All-Data Asteroid Modelling algorithm. ADAM is simple and universal since it handles all disk-resolved data types (adaptive optics or other images, interferometry, and range-Doppler radar data) in a uniform manner via the 2D Fourier transform, enabling fast convergence in model optimization. The resolved data can be combined with disk-integrated data (photometry). In the reconstruction process, the difference between each data type is only a few code lines defining the particular generalized projection from 3D onto a 2D image plane. Occultation timings can be included as sparse silhouettes, and thermal infrared data are efficiently handled with an approximate algorithm that is sufficient in practice because of the dominance of the high-contrast (boundary) pixels over the low-contrast (interior) pixels. This is of particular importance to the raw ALMA data that can be directly handled by ADAM without having to construct the standard image. We study the reliability of the inversion, using the independent shape supports of function series and control-point surfaces. When other data are lacking, one can carry out fast non-convex lightcurve-only inversions, but any shape models resulting from it should only be taken as illustrative large-scale models.