SOCCA extends HG1G2 by modeling the projected surface of a rotating triaxial ellipsoid to jointly retrieve absolute magnitude, phase parameters, spin state, and shape from sparse multi-band photometry, halving residuals and tripling precision on LSST simulations and Eugenia data.
Shaping Asteroids with Genetic Evolution (SAGE)
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abstract
In this work we present SAGE (Shaping Asteroid models using Genetic Evolution) asteroid modelling algorithm based solely on photometric lightcurve data. It produces non-convex shapes, rotation axes orientati and rotational periods of asteroids. The main concept behind a genetic evolution algorithm is to produce random populations of shapes and spin orientations by mutating a seed shape and iterating the process until it converges to a stable global minimum. To test SAGE we have performed tes on five artificial shapes. We have also modelled (433) Eros and (9) Meti asteroids, as ground truth observations for them exist, allowing us to validate the models. We have compared derived Eros shape with NEAR Shoem model and Metis shape with adaptive optics and stellar occultation observations as with other available Metis models from various inversion methods.
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Shape, Orientation and Colors Combined approach for Asteroids (SOCCA)
SOCCA extends HG1G2 by modeling the projected surface of a rotating triaxial ellipsoid to jointly retrieve absolute magnitude, phase parameters, spin state, and shape from sparse multi-band photometry, halving residuals and tripling precision on LSST simulations and Eugenia data.