halomod.bias.Mandelbaum05

class halomod.bias.Mandelbaum05(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)

Empirical bias of Mandelbaum (2005).

See documentation for Bias for information on input parameters. This model has no free parameters.

Notes

This form is the same as that of SMT99, however the parameters were re-fit to simulations from [1] in [2]. Here the default parameters are (q,p) = (0.73, 0.15).

References

1

Seljak, U. and Warren M. S., “Large-scale bias and stochasticity of haloes and dark matter”, https://ui.adsabs.harvard.edu/abs/2004MNRAS.355..129S, 2004.

2

Mandelbaum, R. et al., “Galaxy-galaxy lensing: dissipationless simulations versus the halo model”, https://ui.adsabs.harvard.edu/abs/2005MNRAS.362.1451M, 2005.

Methods

__init__(nu[, delta_c, m, mstar, …])	Initialize self.
bias()	Calculate the first-order, linear, deterministic halo bias.
get_models()	Get a dictionary of all implemented models for this component.

Attributes

pair_hmf

The HMF model that pairs with this bias in the peak-background split