Available models¶

This page lists different variants of the full model presented in the paper, starting the most simplest. Each model is written in one <model name>.stan file. Use get_model function to get the model you want, which will return pystan StanModel instance.

import kinesis as kn
model = kn.get_model('allcombined')

The first time you try to get each model, it will take a little bit as pystan needs to compile the translated C++ code. For future times, it will load instantly as kinesis uses the pickled model.

Models were developed in an increasing order of complexity.

isotropic_pm.stan: proper motion only, v0=[vx, vy, vz], isotropic dispersion sigv
general_model.stan: proper motion + paritial RVs, v0, isotropic dispersion sigv, and optionally T_ij = dv_i/dx_j
anisotropic_rv.stan, anistropic_rv2.stan: proper motion + partial RVs, v0, anistropic dispersion parameterized in quad from (scale and correlation matrix), no velocity gradient.
mixture.stan: extends general_model to include contamination as a mixture model
allcombined.stan: combines mixture model, (optional) velocity gradient and anisotropic dispersion. This is the final model
allcombined-fixed-v0.stan: only fixes mean velocity v0 to the given value (parameters -> data block)