Hi, while submitting the following job with Multinest included, I get the error as shown below :
`
Configuration Error:
/|\ Nested Sampling with MultiNest is only possible for bound parameters. Set
/o\ reasonable bounds for them in the ".param"file.
Traceback (most recent call last):
File "montepython/MontePython.py", line 40, in
sys.exit(run())
File "/global/cscratch1/sd/ayanmitr/montepython_V3/montepython/run.py", line 32, in run
custom_command)
File "/global/cscratch1/sd/ayanmitr/montepython_V3/montepython/run.py", line 198, in safe_initialisation
"The initialisation was not successful, resulting in a "
io_mp.ConfigurationError:
Configuration Error:
/|\ The initialisation was not successful, resulting in a potentially half
/o\ created log.param. Please see the above error message. If you run the
exact same command, it will not work. You should solve the problem, and
try again.
`
As a check, this input param runs ok when used without the -m NS option
Hi, while submitting the following job with Multinest included, I get the error as shown below :
` Configuration Error: /|\ Nested Sampling with MultiNest is only possible for bound parameters. Set /o\ reasonable bounds for them in the ".param"file.
Traceback (most recent call last): File "montepython/MontePython.py", line 40, in
sys.exit(run())
File "/global/cscratch1/sd/ayanmitr/montepython_V3/montepython/run.py", line 32, in run
custom_command)
File "/global/cscratch1/sd/ayanmitr/montepython_V3/montepython/run.py", line 198, in safe_initialisation
"The initialisation was not successful, resulting in a "
io_mp.ConfigurationError:
Configuration Error: /|\ The initialisation was not successful, resulting in a potentially half /o\ created
log.param. Please see the above error message. If you run the exact same command, it will not work. You should solve the problem, and try again.`
As a check, this input param runs ok when used without the
-m NSoptionMy param file essentials are following:
` data.experiments=['bao_boss_dr12', 'bao_smallz_2014','SNANA', 'Planck_lowl_TT','Planck_lowl_EE','Planck_lowl_BB','Planck_highl_TT_lite','Om'] data.parameters['omega_b'] = [ 2.2253, None, None, 0.028, 0.01, 'cosmo'] data.parameters['omega_cdm'] = [ 0.1120, None, None, 0.0016, 1, 'cosmo']
data.parameters['w0_fld'] = [ -0.995,-3.5, -1, 0.001, 1, 'cosmo'] data.parameters['w0wa'] = [ -1, -3.5,-1, 0.001, 1, 'cosmo']
Nuisance
data.parameters['M'] = [-19.02, None, None, 0.004, 1, 'nuisance'] data.parameters['A_planck'] = [100.028, 90, 110, 0.25, 0.01,'nuisance']
Derived parameter list
data.parameters['H0'] = [0, None, None, 0, 1, 'derived'] data.parameters['Omega_m'] = [0, None, None, 0, 1, 'derived'] data.parameters['Omega0_fld'] = [0, None, None, 0, 1, 'derived']
data.cosmo_arguments['N_ur'] = 2.0328 data.cosmo_arguments['N_ncdm'] = 1 data.cosmo_arguments['m_ncdm'] = 0.06 data.cosmo_arguments['T_ncdm'] = 0.71611
data.cosmo_arguments['Omega_Lambda'] = 0 data.cosmo_arguments['Omega_k'] = 0.
`
what is happening ?