activity
20142020
most citedLunar Crater Identification via Deep Learning

234 citations · 778 across the 7 of their papers we have counts for

collaborators

7 papers

astro-ph.EP2020★ 108 cited

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…

astro-ph.EP2019★ 146 cited

Hybrid Symplectic Integrators for Planetary Dynamics

Hanno Rein, David M. Hernandez, Daniel Tamayo +6

Hybrid symplectic integrators such as MERCURY are widely used to simulate complex dynamical phenomena in planetary dynamics that could otherwise not be investigated. A hybrid integ…

astro-ph.EP2018★ 234 cited

Lunar Crater Identification via Deep Learning

Ari Silburt, Mohamad Ali-Dib, Chenchong Zhu +5

Crater counting on the Moon and other bodies is crucial to constrain the dynamical history of the Solar System. This has traditionally been done by visual inspection of images, thu…

astro-ph.EP2017★ 4 cited

Resonant structure, formation and stability of the planetary system HD155358

Ari Silburt, Hanno Rein

Two Jovian-sized planets are orbiting the star HD155358 near exact mean motion resonance (MMR) commensurability. In this work we re-analyze the radial velocity (RV) data previously…

astro-ph.EP2016★ 74 cited

A Machine Learns to Predict the Stability of Tightly Packed Planetary Systems

Daniel Tamayo, Ari Silburt, Diana Valencia +9

The requirement that planetary systems be dynamically stable is often used to vet new discoveries or set limits on unconstrained masses or orbital elements. This is typically carri…

astro-ph.EP2015★ 42 cited

Tides Alone Cannot Explain Kepler Planets Close to 2:1 MMR

Ari Silburt, Hanno Rein

A number of Kepler planet pairs lie just wide of first-order mean motion resonances (MMRs). Tides have been frequently proposed to explain these pileups, but it is still an ongoing…