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'):
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