Closed SafaeCosmology closed 11 months ago
Hello everyone, I wanted to vary the sum of the neutrino masses in the case of a normal hierarchy (NH), I used the following input file:
**_data.experiments=['Planck_lowl_TT']
data.parameters['omega_b'] = [2.249, 1.8, 3, 0.016, 0.01,'cosmo'] data.parameters['omega_cdm'] = [0.1120, 0.1, 0.2, 0.0016,1,'cosmo'] data.parameters['h'] = [0.703, 0.6,0.8, 0.0065,1, 'cosmo'] data.parameters['M_tot_NH'] = [0.06, 0, 0.1, 0.1, 1, 'cosmo']
data.parameters['A_planck'] = [ 1.00061, 0.9, 1.1, 0.0025, 1, 'nuisance']
data.parameters['Omega_m'] = [0,-1,-1,0,1, 'derived']
data.cosmo_arguments['N_ncdm'] = 3 data.cosmo_arguments['T_ncdm'] = '0.71611,0.71611,0.71611' data.cosmo_arguments['N_ur'] = 0.00441 data.cosmoarguments['sBBN file'] = data.path['cosmo']+'/bbn/sBBN.dat' **
but I get the following error:
maybe there are other parameters that I have to fix it ?? thank you in advance
Hello everyone, I wanted to vary the sum of the neutrino masses in the case of a normal hierarchy (NH), I used the following input file:
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**_data.experiments=['Planck_lowl_TT']
Cosmological parameters list
data.parameters['omega_b'] = [2.249, 1.8, 3, 0.016, 0.01,'cosmo'] data.parameters['omega_cdm'] = [0.1120, 0.1, 0.2, 0.0016,1,'cosmo'] data.parameters['h'] = [0.703, 0.6,0.8, 0.0065,1, 'cosmo'] data.parameters['M_tot_NH'] = [0.06, 0, 0.1, 0.1, 1, 'cosmo']
Nuisance parameter list
data.parameters['A_planck'] = [ 1.00061, 0.9, 1.1, 0.0025, 1, 'nuisance']
Derived parameter list
data.parameters['Omega_m'] = [0,-1,-1,0,1, 'derived']
Other class parameters (fixed parameters)
data.cosmo_arguments['N_ncdm'] = 3 data.cosmo_arguments['T_ncdm'] = '0.71611,0.71611,0.71611' data.cosmo_arguments['N_ur'] = 0.00441 data.cosmoarguments['sBBN file'] = data.path['cosmo']+'/bbn/sBBN.dat' **
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but I get the following error:
ValueError: Failed to estimate m1. Reason: The iteration is not making good progress, as measured by the improvement from the last ten iterations. Exiting run.
maybe there are other parameters that I have to fix it ?? thank you in advance