3.1k citations · 28k across the 184 of their papers we have counts for
6 papers · 1 filter
A Neural Network Subgrid Model of the Early Stages of Planet Formation
Thomas Pfeil, Miles Cranmer, Shirley Ho +3
Planet formation is a multi-scale process in which the coagulation of -sized dust grains in protoplanetary disks is strongly influenced by the hydrodynamic processes o…
Particle clustering in turbulence: Prediction of spatial and statistical properties with deep learning
Yan-Mong Chan, Natascha Manger, Yin Li +4
We investigate the utility of deep learning for modeling the clustering of particles that are aerodynamically coupled to turbulent fluids. Using a Lagrangian particle module within…
A Bayesian neural network predicts the dissolution of compact planetary systems
Miles Cranmer, Daniel Tamayo, Hanno Rein +5
Despite over three hundred years of effort, no solutions exist for predicting when a general planetary configuration will become unstable. We introduce a deep learning architecture…
Predicting the long-term stability of compact multiplanet systems
Daniel Tamayo, Miles Cranmer, Samuel Hadden +11
We combine analytical understanding of resonant dynamics in two-planet systems with machine learning techniques to train a model capable of robustly classifying stability in compac…
The Posterior Distribution of sin(i) for Exoplanets with M_T sin(i) Determined from Radial Velocity Data
Shirley Ho, Edwin L. Turner
Radial velocity (RV) observations of an exoplanet system giving a value of M_T sin(i) condition (ie. give information about) not only the planet's true mass M_T but also the value…
The Posterior Distribution of sin(i) Values For Exoplanets With M_T sin(i) Determined From Radial Velocity Data
Shirley Ho, Edwin L. Turner
Radial velocity (RV) observations of an exoplanet system giving a value of M_T sin(i) condition (i.e. give information about) not only the planet's true mass M_T but also the value…