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Examples
kima comes with a few examples ready to run, showing some of the common use cases.
In the /BL2009
example we analyse the simulated datasets created by
Balan & Lahav (2009).
The folder contains two datasets with 1 and 2 simulated planets, which were used to test the ExoFit package.
The kima_setup.cpp
file sets the main options for the model:
we use a standard sum-of-Keplerians model (no GP) without an offset due to the
HARPS change of optical fibers, and no linear trend.
The number of planets in the model is fixed to 1.
Inside the RVmodel()
constructor, we define the priors for the model parameters,
the same as those used by Balan & Lahav (2009).
To compile and run, type
make
./run
The /CoRoT7
example uses HARPS radial velocity measurements of the active star CoRoT-7.
This example reproduces the analysis done by Faria et al. (2016),
where we successfully recovered both the orbits of CoRoT-7b and CoRot-7c,
and the activity-induced signal.
In the kima_setup.ccp
file, we set a GP model with hyperpriors, no linear trend, and no offset because of the HARPS fibers.
The number of planets is free, with a uniform prior between 0 and 5.
Note: in Faria et al. (2016) we considered a uniform prior for Np between 0 and 10.
To compile and run, type
make
./run
This example takes a considerably longer time to run because of the GP model.
The /many_planets
example uses the radial velocity measurements of the star HD10180 where seven possible planetary signals were found by Lovis et al. (2011).
Here we also use the sum-of-Keplerians model, with no HARPS offset and no linear trend, but this time we consider hyperpriors for the orbital periods and semi-amplitudes. The number of planets is a free parameter in the MCMC, with a uniform prior between 0 and 10.
To compile and run, type
make
./run
This documentation was created with ❤️ by @j-faria and @jdavidrcamacho, at IA.
- What is kima
- Installation
- Getting started
- Running jobs
- Examples
- Analysis of results
- Changing the priors
- Changing OPTIONS
- Input data
- Output files
- Roadmap
- Contribute
- Troubleshooting
Additional material
- Are the defaults ok?
- Migrating to kima v3
- Transiting planet
- Multiple instruments
- New prior distributions
- Regression network
API