Search Results for author: Ramit Dey

Found 3 papers, 1 papers with code

GRINN: A Physics-Informed Neural Network for solving hydrodynamic systems in the presence of self-gravity

no code implementations15 Aug 2023 Sayantan Auddy, Ramit Dey, Neal J. Turner, Shantanu Basu

This is in contrast to the scaling of the grid-based code for the hydrodynamic and self-gravity calculations as the number of dimensions is increased.

Using Bayesian Deep Learning to infer Planet Mass from Gaps in Protoplanetary Disks

no code implementations23 Feb 2022 Sayantan Auddy, Ramit Dey, Min-Kai Lin, Daniel Carrera, Jacob B. Simon

A unique feature of our approach is that it can distinguish between the uncertainty associated with the deep learning architecture and uncertainty inherent in the input data due to measurement noise.

DPNNet-2.0 Part I: Finding hidden planets from simulated images of protoplanetary disk gaps

1 code implementation19 Jul 2021 Sayantan Auddy, Ramit Dey, Min-Kai Lin, Cassandra Hall

The observed sub-structures, like annular gaps, in dust emissions from protoplanetary disk, are often interpreted as signatures of embedded planets.

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