PreservingNgalHeavisideAssembias¶

class halotools.empirical_models.PreservingNgalHeavisideAssembias(**kwargs)[source] [edit on github]

No positional arguments accepted; all argument are strictly keyword arguments.

Parameters: method_name_to_decorate : string Name of the method in the primary class whose behavior is being decorated lower_assembias_bound : float lower bound on the method being decorated with assembly bias upper_assembias_bound : float upper bound on the method being decorated with assembly bias sec_haloprop_key : string, optional String giving the column name of the secondary halo property governing the assembly bias. Must be a key in the table passed to the methods of HeavisideAssembiasComponent. Default value is specified in the model_defaults module. split : float or list, optional Fraction or list of fractions between 0 and 1 defining how we split halos into two groupings based on their conditional secondary percentiles. Default is 0.5 for a constant 50/50 split. split_abscissa : list, optional Values of the primary halo property at which the halos are split as described above in the split argument. If loginterp is set to True (the default behavior), the interpolation will be done in the logarithm of the primary halo property. Default is to assume a constant 50/50 split. splitting_model : object, optional Model instance with a method called splitting_method_name used to split the input halos into two types. splitting_method_name : string, optional Name of method bound to splitting_model used to split the input halos into two types. halo_type_tuple : tuple, optional Tuple providing the information about how elements of the input table have been pre-divided into types. The first tuple entry must be a string giving the column name of the input table that provides the halo-typing. The second entry gives the value that will be stored in this column for halos that are above the percentile split, the third entry gives the value for halos below the split. If provided, you must ensure that the splitting of the table was self-consistently performed with the input split, or split_abscissa and split_ordinates, or split_func keyword arguments. assembias_strength : float or list, optional Fraction or sequence of fractions between -1 and 1 defining the assembly bias correlation strength. Default is 0.5. assembias_strength_abscissa : list, optional Values of the primary halo property at which the assembly bias strength is specified. Default is to assume a constant strength of 0.5. If passing a list, the strength will interpreted at the input assembias_strength_abscissa. Default is to assume a constant strength of 0.5. loginterp : bool, optional If set to True, the interpolation will be done in the logarithm of the primary halo property, rather than linearly. Default is True.

Methods Summary

Methods Documentation

assembias_mc_occupation(seed=None, **kwargs)[source] [edit on github]