I'm a computational astrophysicist interested in celestial mechanics and the long-term dynamical evolution of the solar system. I'm currently a PhD student in the Department of Physics at the Univeristy of Toronto working under the mentorship of Professor Hanno Rein. I run simulations of the solar system using REBOUND. I then use other numerical methods to analyze the stability and dynamics of the planetary systems.
My research focuses on the perturbative effects that impact the long-term evolution and stability of the solar system where I primarly concentrate on the influence from stellar flybys. Some of my recent scientific publications are listed below, but you can also see my full list of publications here.
My most recent work has been to study the dynamical stability of the solar system by investigating the effects of the general relativistic perihelion precession rate of the planets. We developed a simple, unified, Fokker-Planck advection-diffusion model that can reproduce the instability time of Mercury with, without, and with time-varying GR precession
We show that while ignoring GR precession does move Mercury's precession frequency closer to a resonance with Jupiter, this alone does not explain the increased instability rate. It is necessary that there is also a significant increase in the rate of diffusion. However, the solar system's stability is robust to small changes, and long-term solar system integrations can be trusted if the diffusion of the system is physically dominated.
See the animation below in the Numerical Integrators section for more insight into the precession of Mercury under the influence of GR.
General relativistic precession and the long-term stability of the solar system
Garett Brown and Hanno Rein (2023)
I have investigated how to quantify the effects of stellar flybys on planetary systems. The architecture and evolution of planetary systems are shaped in part by stellar flybys. The strength and frequency of stellar flybys vary over system lifetimes as local stellar environments mature. Within this context, I am looking at stellar encounters which are too weak to immediately destabilize a planetary system but are nevertheless strong enough to measurably perturb a system's dynamical state.
The strength of these perturbations on the Solar System are on the order of 0.1%. The Solar System is dynamically robust to a vast majority of the long-term effects from stellar flybys. I determined this using a simple analytic model and confirmed it with ensembles of thousands of direct N-body simulations. A better understanding of how stellar flybys affect long-term changes to orbital structure enriches our understanding of the evolution of exoplanet systems. This increased confidence improves our understanding of the mechanisms which shape planetary systems over stellar lifetimes.
On the long-term stability of the Solar System in the presence of weak perturbations from stellar flybys
Garett Brown, Hanno Rein (2022)
A Repository of Vanilla Long-term Integrations of the Solar System
Garett Brown, Hanno Rein (2020)
Chaos, the real-ness of planets, and the future of the solar system
Mark Dodici -
Astrobites - 14 Mar 2023
If Neptune's orbit moves 0.1%, it could destabilize the entire solar system
Catherine Stoddard -
FOX TV Stations - 18 Jul 2022
It Would Take About 100 Billion Years for Another Star to Pass Close Enough to Make the Solar System Unstable
Matt Williams -
Universe Today - 6 Jul 2022
A passing star shifting Neptune's orbit could wreck the solar system
Leah Crane -
New Scientist - 6 Jul 2022
AAS Journal Author Series: Garett Brown on 2020RNAAS...4..221B
Frank Timmes -
American Astronomical Society (AAS) - 1 Oct 2021
I also work with the numerical methods associated with n-body integrators including their analysis, improvement, and convergence testing. In our paper On the accuracy of symplectic integrators for secularly evolving planetary systems, we discuss how symplectic integrators have made it possible to study the long-term evolution of planetary systems with direct N-body simulations. We reassess the accuracy of such simulations by running a convergence test on 20 Myr integrations of the Solar System using various symplectic integrators. We find that the specific choice of metric for determining a simulation's accuracy is important. Only looking at metrics related to integrals of motions such as the energy error can overestimate the accuracy of a method. As one specific example, we show that symplectic correctors do not improve the accuracy of secular frequencies compared to the standard Wisdom-Holman method without symplectic correctors, despite the fact that the energy error is three orders of magnitudes smaller.
The adjacent animation shows how Mercury's orbit precesses over time due to the effects of General Relativity. This integration was done with REBOUND using the WHCKL
integrator and REBOUNDx using the gr_potential
effect.
On the accuracy of symplectic integrators for secularly evolving planetary systems
Hanno Rein, Garett Brown, Daniel Tamayo (2019)
High order symplectic integrators for planetary dynamics and their implementation in REBOUND
Hanno Rein, Daniel Tamayo, Garett Brown (2019)
Hybrid Symplectic Integrators for Planetary Dynamics
Hanno Rein, David M. Hernandez, Daniel Tamayo, Garett Brown, Emily Eckels, Emma Holmes, Michelle Lau, Rejean Leblanc, Ari Silburt (2019)
This is work that I did as an undergraduate under the mentorship of Manuel Berrondo and culminated as an honours undergraduate thesis.
Abstract: The complexity and pattern found in animal aggregations, such as starling murmurations, reveals emergent phenomena which arise from the simple, individual interactions of its members. Simulated in a two-dimensional algorithmic model, self-driven particles (boids) group together and display emergent flocking characteristics. The model is based on the ideas of consensus and frustration, where consensus is a nonlinear topological averaging that drives the boids toward one of three unique phases, and frustration is a perturbation that pushes the boids beyond these simple phases and toward disordered behavior. The nonlinearity merged with the perturbation produces characteristics which go beyond the dynamic interplay of global and local phase transitions. The emergent results are interpreted in terms of global and local order parameters, and correlation functions. The results also strongly agree with observational data and empirical analysis.
Beyond Phase Transitions: an Algorithmic Approach to Flocking Behaviour
Garett Brown (2017)
Beyond Phase Transitions: an Algorithmic Approach to Flocking Behavior
ADMIN -
Journal of Undergraduate Research - 13 Sep 2018
Multiple animations of this work can be found on my YouTube channel