CurveSimulator
CurveSimulator is a reliable n-Body Python package for fast and flexible Orbital Parameter Determination (MCMC).
It can also generate highly configurable videos for teaching, public outreach, and scientific insight.
If CurveSimulator could be useful for your next research project feel free to reach out to us. Let’s analyze your system together. Help shape the next version of CurveSimulator with your feedback.
Easy to use
Just run five lines of Python code that never need to change.
Everything else is controlled through one user-friendly configuration file.
The software is continuously developed and improved.
Fast and Robust Planetary System Parameter Estimation
CurveSimulator determines orbital parameters of exoplanet systems using n-body simulations (rebound package).
Markov Chain Monte Carlo (MCMC) samplers build the parameter posteriors and obtain parameter uncertainties (emcee package).
CurveSimulator can process different types of observations: Flux, transit times and radial velocity.
For fast preliminary results, run least-squares fits on observed transit times (LMfit package).
Output
- JSON files contain best-fit parameters, per-transit parameters, fit quality, fit diagnostics and much more.
- API: Interact directly with Python objects which contain all relevant input and output.
- Videos (see below)
- Plots, e.g. parameter histograms, observed vs. computed data, sampling diagnostics.
Performance Example
- The task: Fit 50 parameters using 20000 flux data points and integrate the movements of 3 bodies over 7 years with a time step of 75000 seconds.
- 5000 iterations of 100 MCMC Walkers on an average Windows PC take under 3 hours.
- That corresponds to 45 simulation runs per second.
Videos of planetary systems
CurveSimulator generates videos of the movements and eclipses of celestial bodies. The video can simultaneously display any combination of:
- a view of the star system from above
- a view from Earth (edge view)
- an animated plot of the system's total luminosity over time (lightcurve)
- an animated plot of the star's radial velocity over time
Video generation is very fast: One minute playing time takes only seconds to
generate.
The videos are highly customizable and use very little disk space - only 0.5
MB per minute of playing time.
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