$\it COD:$ An Algorithm for Shape Reconstruction of Transiting Celestial Bodies through Topological Optimization
Gil Nachmani, Tsevi Mazeh, Nir Sochen

TL;DR
The paper presents $ extit{COD}$, a linear programming-based algorithm for reconstructing the shape of occulting celestial bodies from light curves, demonstrated through simulations and a real astronomical event.
Contribution
Introduces a novel topological optimization algorithm for shape reconstruction of occulting celestial bodies using light-curve data, without assuming specific shapes.
Findings
High accuracy in shape and velocity reconstruction in tests
Successful application to a real astronomical occultation event
Reconstruction of an elliptical opacity distribution for VVV-WIT-08
Abstract
We introduce a novel algorithm, -- Compact Opacity Distribution, for shape reconstruction of a celestial body that has been observed to occult a star, using the photometric time-series observations of the occultation. finds a solution to the light-curve inversion problem for an optically thick occulter having an approximately convex shape, together with an estimate of its size, impact parameter and velocity, relative to the occulted star. The algorithm is based on an optimization scheme that uses topological constraints and an objective function for the geometry of the occulter. The constraints of the problem follow linear relations, which enable the use of linear programming optimization as the mathematical framework. Multiple tests of the algorithm were performed, all of which resulted in high correlations between the simulated and obtained shapes of the…
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