Improved Algorithms for Radar-based Reconstruction of Asteroid Shapes
Adam H. Greenberg, Jean-Luc Margot
TL;DR
This paper introduces an improved global-parameter optimizer and Square Root Information Filter for asteroid shape modeling, demonstrating faster convergence and more accurate results compared to previous methods.
Contribution
The paper presents a novel implementation of a global optimizer and SRIF in asteroid modeling software, enhancing performance over existing sequential methods.
Findings
Faster convergence of shape models
More accurate asteroid shape reconstructions
More reliable spin axis orientation solutions
Abstract
We describe our implementation of a global-parameter optimizer and Square Root Information Filter (SRIF) into the asteroid-modelling software SHAPE. We compare the performance of our new optimizer with that of the existing sequential optimizer when operating on various forms of simulated data and actual asteroid radar data. In all cases, the new implementation performs substantially better than its predecessor: it converges faster, produces shape models that are more accurate, and solves for spin axis orientations more reliably. We discuss potential future changes to improve SHAPE's fitting speed and accuracy.
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