halomod.bias.Mo96¶
- class halomod.bias.Mo96(nu: numpy.ndarray, delta_c: float = 1.686, m: Optional[numpy.ndarray] = None, mstar: Optional[float] = None, delta_halo: Optional[float] = 200, n: Optional[float] = 1, sigma_8: Optional[float] = 0.8, cosmo: astropy.cosmology.core.FLRW = FlatLambdaCDM(name="Planck15", H0=67.7 km / (Mpc s), Om0=0.307, Tcmb0=2.725 K, Neff=3.05, m_nu=[0. 0. 0.06] eV, Ob0=0.0486), n_eff: Optional[numpy.ndarray] = None, z: float = 0.0, **model_parameters)[source]¶
Peak-background split bias corresponding to PS HMF.
See documentation for
Bias
for information on input parameters. This model has no free parameters.Notes
This bias form can be explicitly derived by assuming a Press-Schechter form for the HMF, as shown for example in [1]. The form is
\[1 + \frac{(\nu - 1)}{\delta_c}\]References
- 1
Mo, H. J. and White, S. D. M., “An analytic model for the spatial clustering of dark matter haloes”, https://ui.adsabs.harvard.edu/abs/1996MNRAS.282..347M, 1996
Methods
__init__
(nu[, delta_c, m, mstar, …])Initialize self.
bias
()Calculate the first-order, linear, deterministic halo bias.
Get a dictionary of all implemented models for this component.
Attributes
The HMF model that pairs with this bias in the peak-background split