halomod.bias.Manera10

class halomod.bias.Manera10(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 from Manera et al. (2010) [1].

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

Parameters

  • q (float, optional) – The fitted parameters.

  • p (float, optional) – The fitted parameters.

Notes

Note

This form from [1] has the same form as ST99, but has refitted the parameters with (q, p) = (0.709, 0.2).

References

1(1,2)

Manera M., Sheth,R. K. and Scoccimarro R., “Large-scale bias and the inaccuracy of the peak-background split “, https://ui.adsabs.harvard.edu/abs/2010MNRAS.402..589M, 2010

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