Class
NumCosmoXcorKernelCluster
Description [src]
abstract class NumCosmo.XcorKernelCluster : NumCosmo.XcorKernel
{
/* No available fields */
}
Base class for cluster kernels in cross-correlations.
This is a placeholder base class for cluster kernels. The full implementation of a cluster kernel would potentially involve integration over halo mass function:
\begin{equation} K_\alpha(z,k) = \frac{dV}{dz}(z) \left[ \int dM \, b(M,z) \, \frac{dn}{dM}(M,z) \, S_\alpha(M,z) \, p(M,z) \right] \sqrt{P(k,z)} \end{equation}
where: - $\frac{dV}{dz}$ is the comoving volume element per steradian, - $\frac{dn}{dM}(M,z)$ is the halo mass function, - $b(M,z)$ is the halo bias, - $S_\alpha(M,z)$ is the selection function of bin $\alpha$, - $p(M,z)$ is the catalog purity, - $P(k,z)$ is the matter power spectrum.
Different implementations will provide different approximations or methods for computing this kernel.
Instance methods
Methods inherited from NcXcorKernel (35)
Please see NcXcorKernel for a full list of methods.
Properties
Properties inherited from NcXcorKernel (12)
NumCosmo.XcorKernel:adaptive-boundary-tries
NumCosmo.XcorKernel:adaptive-epsilon
NumCosmo.XcorKernel:dist
NumCosmo.XcorKernel:expansion-factor
NumCosmo.XcorKernel:integrator
NumCosmo.XcorKernel:l-limber
NumCosmo.XcorKernel:lmax
NumCosmo.XcorKernel:max-border-expansions
NumCosmo.XcorKernel:max-iter
NumCosmo.XcorKernel:powspec
NumCosmo.XcorKernel:reltol
NumCosmo.XcorKernel:scaled-abstol
Properties inherited from NcmModel (9)
NumCosmoMath.Model:implementation
NumCosmoMath.Model:name
NumCosmoMath.Model:nick
NumCosmoMath.Model:params-types
NumCosmoMath.Model:reparam
NumCosmoMath.Model:scalar-params-len
NumCosmoMath.Model:sparam-array
NumCosmoMath.Model:submodel-array
NumCosmoMath.Model:vector-params-len
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.