예제 #1
0
if not hasattr(ds, 'sherekhan_input'):
    ds.sherekhan_input = False

# The set r2eff err, for defining the error on the graphs and in the fitting weight.
# We set the error to be the same for all ncyc eksperiments.
if not hasattr(ds, 'r2eff_err'):
    ds.r2eff_err = 0.1

# The print result info.
if not hasattr(ds, 'print_res'):
    ds.print_res = True

# Make a dx map to be opened om OpenDX.
# To map the hypersurface of chi2, when altering kex, dw and pA.
if not hasattr(ds, 'opendx'):
    ds.opendx = False
    #ds.opendx = True

# Which parameters to map on chi2 surface.
if not hasattr(ds, 'dx_params'):
    ds.dx_params = ['dw', 'pA', 'kex']

# How many increements to map for each of the parameters.
# Above 20 is good. 70 - 100 is a quite good resolution.
# 4 is for speed tests.
if not hasattr(ds, 'dx_inc'):
    ds.dx_inc = 70
    #ds.dx_inc = 4

# If bounds set to None, uses the normal Grid search bounds.
if not hasattr(ds, 'dx_lower_bounds'):
예제 #2
0
    ds.sherekhan_input = False

# The set r2eff err, for defining the error on the graphs and in the fitting weight.
# We set the error to be the same for all ncyc eksperiments.
if not hasattr(ds, 'r2eff_err'):
    ds.r2eff_err = 0.1

# The print result info.
if not hasattr(ds, 'print_res'):
    ds.print_res = True

# Make a dx map to be opened om OpenDX.
# To map the hypersurface of chi2, when altering kex, dw and pA.
if not hasattr(ds, 'opendx'):
    #ds.opendx = False
    ds.opendx = True

# Which parameters to map on chi2 surface.
if not hasattr(ds, 'dx_params'):
    ds.dx_params = ['dw', 'pA', 'kex']

# How many increements to map for each of the parameters.
# Above 20 is good. 70 - 100 is a quite good resolution.
# 4 is for speed tests.
if not hasattr(ds, 'dx_inc'):
    ds.dx_inc = 70
    #ds.dx_inc = 4

# If bounds set to None, uses the normal Grid search bounds.
if not hasattr(ds, 'dx_lower_bounds'):
    ds.dx_lower_bounds = None
예제 #3
0
    ds.sherekhan_input = False

# The set r2eff err, for defining the error on the graphs and in the fitting weight.
# We set the error to be the same for all ncyc eksperiments.
if not hasattr(ds, 'r2eff_err'):
    ds.r2eff_err = 0.1

# The print result info.
if not hasattr(ds, 'print_res'):
    ds.print_res = True

# Make a dx map to be opened om OpenDX.
# To map the hypersurface of chi2, when altering kex, dw and pA.
if not hasattr(ds, 'opendx'):
    #ds.opendx = False
    ds.opendx = True

# Which parameters to map on chi2 surface.
if not hasattr(ds, 'dx_params'):
    ds.dx_params = ['dw', 'pA', 'kex']

# How many increements to map for each of the parameters.
# Above 20 is good. 70 - 100 is a quite good resolution.
# 4 is for speed tests.
if not hasattr(ds, 'dx_inc'):
    ds.dx_inc = 70
    #ds.dx_inc = 4

# If bounds set to None, uses the normal Grid search bounds.
if not hasattr(ds, 'dx_lower_bounds'):
    ds.dx_lower_bounds = None
예제 #4
0
if not hasattr(ds, 'sherekhan_input'):
    ds.sherekhan_input = False

# The set r2eff err, for defining the error on the graphs and in the fitting weight.
# We set the error to be the same for all ncyc eksperiments.
if not hasattr(ds, 'r2eff_err'):
    ds.r2eff_err = 0.1

# The print result info.
if not hasattr(ds, 'print_res'):
    ds.print_res = True

# Make a dx map to be opened om OpenDX.
# To map the hypersurface of chi2, when altering kex, dw and pA.
if not hasattr(ds, 'opendx'):
    ds.opendx = False
    #ds.opendx = True

# Which parameters to map on chi2 surface.
if not hasattr(ds, 'dx_params'):
    ds.dx_params = ['dw', 'pA', 'kex']

# How many increements to map for each of the parameters.
# Above 20 is good. 70 - 100 is a quite good resolution.
# 4 is for speed tests.
if not hasattr(ds, 'dx_inc'):
    ds.dx_inc = 70
    #ds.dx_inc = 4

# If bounds set to None, uses the normal Grid search bounds.
if not hasattr(ds, 'dx_lower_bounds'):