Integrate utility of saving of HDF5 file of poserior chain in run_mcmc methods

Currently, one has to seperately call the utility save_chain_to_hdf5 in utils.py in order to save the full chain of posteriors answer from a run_mcmc output; something like

mcmc_posterior_chain = processed_sensing_obj.run_mcmc(
        fmin=mcmc_params_fitregion_Hz[iDate][0],
        fmax=mcmc_params_fitregion_Hz[iDate][1],
        burn_in_steps=MCMC_PARAMS_BURNINSTEPS,
        steps=MCMC_PARAMS_STEPS,
        save_to_file=MCMC_JSONRESULTSFILE)
                                                     
pydarm.utils.save_chain_to_hdf5(
        MCMC_HDF5RESULTSFILE,
        model_parameters_file, 
        mcmc_params_fitregion_Hz[iDate][0], 
        mcmc_params_fitregion_Hz[iDate][1], 
        'sensing', 
        mcmc_posterior_chain)

It'd be great if run_mcmc method could trigger a save of of the full posterior chain like one triggers a save of the hdf5 file, (and retain the ability to also save the results the json file) like

mcmc_posterior_chain = processed_sensing_obj.run_mcmc(
        fmin=mcmc_params_fitregion_Hz[iDate][0],
        fmax=mcmc_params_fitregion_Hz[iDate][1],
        burn_in_steps=MCMC_PARAMS_BURNINSTEPS,
        steps=MCMC_PARAMS_STEPS,
        save_results_to_json=MCMC_JSONRESULTSFILE,
        save_posteriorchain_to_hdf5=MCMC_HDF5RESULTSFILE)