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.
Asteroid shapes and thermal properties from combined optical and mid-infrared photometry inversion
1 Pith paper cite this work. Polarity classification is still indexing.
abstract
Optical lightcurves can be used for the shape and spin reconstruction of asteroids. Due to unknown albedo, these models are scale-free. When thermal infrared data are available, they can be used for scaling the shape models and for deriving thermophysical properties of the surface by applying a thermophysical model. We introduce a new method of simultaneous inversion of optical and thermal infrared data that allows the size of an asteroid to be derived along with its shape and spin state. The method optimizes all relevant parameters (shape and its size, spin state, light-scattering properties, thermal inertia, surface roughness) by gradient-based optimization. The thermal emission is computed by solving the 1-D heat diffusion equation. Calibrated optical photometry and thermal fluxes at different wavelengths are needed as input data. We demonstrate the reliability and test the accuracy of the method on selected targets with different amount and quality of data. Our results in general agree with those obtained by independent methods. Combining optical and thermal data into one inversion method opens a new possibility for processing photometry from large optical sky surveys with the data from WISE. It also provides more realistic estimates of errors of thermophysical parameters.
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astro-ph.EP 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
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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.