Class
NumCosmoHaloBiasSTEllip
Description [src]
class NumCosmo.HaloBiasSTEllip : NumCosmo.HaloBias
{
/* No available fields */
}Sheth-Tormen elliptical halo bias function type.
Object implementation to compute the halo bias function given the Sheth-Tormen mass function for elliptical collapse. A description of the function is given below. Check nc_halo_bias.c for a description of halo biases and nc_multiplicity_func_st.c for the Sheth-Tormen mass function.
The Sheth-Tormen bias can be obtained by considering an approximation where the fluctuations around the background density contrats are described by a constant barrier that depends on the collapse. For an elliptical collapse, the bias is given by \begin{align} b(\nu)=1+\frac{1}{\delta_{\mathrm{sc}}(z)} \left[a \nu^2+ b\left(a \nu^2\right)^{1-c} -\frac{\left(a \nu^2\right)^c}{\sqrt{a}\left(a \nu^2\right)^c+b(1-c)(1-c / 2)}\right] \end{align} where $b(\nu)$ is the bias, $\delta_c$ is the critical threshold, $\nu = \frac{\delta_c}{\sigma}$ and $(a, b, c)$ are free parameters of the mass function that dictates the shape of the barrier.
The user must provide input the values: NcHaloMassFunction, delta_c, a, p - nc_halo_bias_st_spher_new_full().
Instance methods
nc_halo_bias_st_ellip_set_delta_c
Sets the value delta_c to the NcHaloBiasSTEllip:critical-delta property.
Methods inherited from NcHaloBias (3)
nc_halo_bias_eval
Computes the Halo Bias at a given redshift.
nc_halo_bias_free
Atomically decrements the reference count of bias by one. If the reference count drops to 0,
all memory allocated by bias is released.
nc_halo_bias_integrand
This function is the integrand of the mean bias, i.e., the product of the mass function with the bias function. As both functions depend on the standard deviation of the matter density contrast, we implement this function to compute \f$ \sigma (M, z) \f$ just once.
Signals
Signals inherited from GObject (1)
GObject::notify
The notify signal is emitted on an object when one of its properties has its value set through g_object_set_property(), g_object_set(), et al.