![]() It is possible to use other samplers as well, such as: ![]() The PyDE + emcee combination is the easiest to install and set up, but it is possible to specify the starting point of emcee instead of using the outcome of PyDE. Simply speaking, PyDE searches for the best global solution and passes it to emcee, ensuring that the MCMC will not be stuck around a local minimum of the chi-square. emcee: ensemble sampling toolkit for affine-invariant MCMC ( emcee home page) pyDE: global optimization package ( PyDE home page) h5py: HDF5 for Python ( h5py home page)īasic analysis can be performed using the scipy.optimize package, however to fully unwind the power of PyORBIT I strongly recommend these two packages:.corner: to make corner plots ( corner.py home page). ![]()
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