PrebuiltHodModelFactory¶

class halotools.empirical_models.PrebuiltHodModelFactory(model_nickname, **kwargs)[source] [edit on github]¶

Bases: halotools.empirical_models.HodModelFactory

Factory class providing instances of HodModelFactory models that come prebuilt with Halotools. For documentation on the methods bound to PrebuiltHodModelFactory, see the docstring of HodModelFactory. For a tutorial on all prebuilt models, see Tutorial on models pre-built by Halotools.

Parameters:

model_nickname : string

String used to select the appropriate prebuilt model_dictionary that will be used to build the instance. See the Examples below. The list of available options are

‘zheng07’ (see Zheng et al. (2007) Composite Model for a tutorial)

‘leauthaud11’ (see Leauthaud et al. (2011) Composite Model)

‘tinker13’ (see Tinker et al. (2013) Composite Model)

‘hearin15’ (see Hearin et al. (2015) Composite Model)

‘cacciato09’ (see Cacciato et al. (2009) Composite Model)

‘zu_mandelbaum15’ (see Zu & Mandelbaum et al. (2015) Composite Model)

‘zu_mandelbaum16’ (see Zu & Mandelbaum et al. (2016) Composite Model)

halo_selection_func : function object, optional

Function object used to place a cut on the input table. If the halo_selection_func keyword argument is passed, the input to the function must be a single positional argument storing a length-N structured numpy array or Astropy table; the function output must be a length-N boolean array that will be used as a mask. Halos that are masked will be entirely neglected during mock population.

Examples

>>> from halotools.empirical_models import PrebuiltHodModelFactory
>>> model_instance = PrebuiltHodModelFactory('zheng07')

Passing in zheng07 as the model_nickname argument triggers the factory to call the zheng07_model_dictionary function. When doing so, the remaining arguments that were passed to the PrebuiltHodModelFactory will in turn be passed on to zheng07_model_dictionary.

>>> model_instance = PrebuiltHodModelFactory('zheng07', threshold=-20)
>>> model_instance = PrebuiltHodModelFactory('zheng07', threshold=-20, modulate_with_cenocc=True)

This same syntax applies to all pre-built models.

>>> model_instance = PrebuiltHodModelFactory('hearin15', threshold = 10.5, redshift = 2)

Once you have built an instance of a composite model, you can use it to populate any simulation in the Halotools cache:

>>> from halotools.sim_manager import CachedHaloCatalog 
>>> halocat = CachedHaloCatalog(simname = 'bolshoi', redshift = 2) 
>>> model_instance.populate_mock(halocat) 

As described in the populate_mock docstring, calling the populate_mock method creates a mock attribute bound to your model_instance. After you initially populate a halo catalog using the populate_mock method, you can repopulate the halo catalog by calling the populate method bound to model_instance.mock.

Attributes Summary

prebuilt_model_nickname_list

Attributes Documentation

prebuilt_model_nickname_list = ('zheng07', 'leauthaud11', 'tinker13', 'hearin15', 'zu_mandelbaum15', 'zu_mandelbaum16', 'cacciato09')¶

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PrebuiltHodModelFactory¶