autocorr/nestfit

Bayesian spectral decomposition and model fitting using Nested Sampling

nestfit's Issues

Improve details on installation

I am trying to install the package, however, it is not well documented what needs to be modified. I guess that this is the suggested method:

python setup.py install --user

However, this must be modified in the setup.py file

MNEST_DIR = Path('/users/bsvoboda/code/MultiNest')

maybe use the LD_LIBRARY_PATH variable.

Also, if I need to use the icc compiler instead of gcc, then this command line could be used:

LDSHARED="icc -shared" CC=icc python setup.py install --user

also, I think that -openmp should be removed from setup.py in the case of using icc

How do you setup the code for a new dataset? What is the shortcut?

UltraNest support

Would you be interested to add support for https://johannesbuchner.github.io/UltraNest/ ?
The interface should be very similar to pymultinest.

UltraNest is a very reliable tuning-parameter-free algorithm. I have published some examples where the UltraNest algorithm is unbiased while pymultinest gives a different answer. UltraNest is a pure-python package and very easy to install with pip or conda.

UltraNest also supports resuming from disk and MPI parallelisation, if that is useful to you.

How to add a new cold-ammonia model?

I want to add the cold-ammonia model. The implementation of the model is simply

    dT0 = 41.18 # Energy difference between (2,2) and (1,1) in K
    trot = tkin * (1 + (tkin/dT0)*np.log(1 + 0.6*np.exp(-15.7/tkin)))**-1
    return ammonia(xarr, trot=trot, **kwargs)

I guess a new function AmmoniaRunner_cold() should be created, which looks almost the same as AmmoniaRunner_cold(). Anything else?