Open ming-jian opened 1 year ago
You have three sets of sampled parameters, cosmological parameters, Planck nuisnace parameters, and Pantheon nuisance parameters, so your over sampling field needs three entries, e.g. data.over_sampling=[1, 5, 5]
Best, Thejs
You have three sets of sampled parameters, cosmological parameters, Planck nuisnace parameters, and Pantheon nuisance parameters, so your over sampling field needs three entries, e.g. data.over_sampling=[1, 5, 5]
Best, Thejs
Thanks very much, Prof. Thejs.
It works well!
set as data.over_sampling=[1, 5]
Thanks very much Dr. HoisW. It is ok !
hi, everyone I use the montepython to constrain the CLP model.
in base2018TTTEEE.param: data.experiments=['Planck_highl_TTTEEE', 'Planck_lowl_EE', 'bao_boss_dr12','bao_smallz_2014'] data.over_sampling=[1, 5] ...... data.parameters['H0'] = [0, None, None, 0, 1, 'derived'] .... It works well.
in Pantheon.param data.experiments=['Pantheon'] ...... data.parameters['H0'] = [0, None, None, 0, 1, 'cosmo'] data.parameters['M'] = [ - 19.02, None, None, 0.004, 1, 'nuisance'] .... It also works well.
However, it cannot work in their combination. in base2018TTTEEE.param: data.experiments=['Planck_highl_TTTEEE', 'Planck_lowl_EE', 'bao_boss_dr12','bao_smallz_2014','Pantheon'] data.over_sampling=[1, 5] ...... data.parameters['H0'] = [0, None, None, 0, 1, 'derived'] data.parameters['M'] = [ - 19.02, None, None, 0.004, 1, 'nuisance'] ....
It shows: The initialization failed.
I donot know how to deal with it.