Decoding the Signatures of Exoplanets in Debris Disks with a Collisional Grooming Algorithm

Statistics – Computation

Scientific paper

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Scientific paper

Several debris disks show circumstellar ring-like structures likely caused by planetary perturbations. In our tenuous zodiacal cloud, we see the faint signature of Earth itself, while resolved images of several debris disks much more dense, including Fomalhaut and HR 4796A, exhibit similar structures at much greater circumstellar distances. Until now, no debris disk model has been able to self-consistently include the gravitational resonant dynamics and grain-grain collisions necessary to accurately model these dust disks. I will present a new "collisional grooming" algorithm that enables us to model images of structured collisional debris disks for the first time. Our algorithm uses the results of a collisionless disk simulation to iteratively solve for the density distribution of a collisional disk. Our algorithm adds no computational time to the initial collisionless disk simulation and can be run on a single processor in 1 hour. I will show how this algorithm can be used to model currently observed debris disks and present the first self-consistent 3D collisional simulations of the Fomalhaut debris disk.

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