Class
NumCosmoDataClusterNCountsGauss
Description [src]
class NumCosmo.DataClusterNCountsGauss : NumCosmoMath.DataGaussCov
{
/* No available fields */
}Cluster number count data gaussian likelihood.
NcDataClusterNCountsGauss is a NcmDataGaussCov that implements the gaussian
likelihood for the cluster number count data.
Instance methods
nc_data_cluster_ncounts_gauss_free
Decreases the reference count of the NcDataClusterNCountsGauss.
If the reference count reaches zero, the NcDataClusterNCountsGauss is freed.
nc_data_cluster_ncounts_gauss_get_lnM_obs_params
Gets the matrix containing the mass observables parameters.
nc_data_cluster_ncounts_gauss_get_resample_s_matrix
Gets the matrix containing the super sample covariance. This matrix will be used only during resampling and it is used to test mis-specification of the covariance matrix.
nc_data_cluster_ncounts_gauss_get_z_obs_params
Gets the matrix containing the redshift observables parameters.
nc_data_cluster_ncounts_gauss_set_has_ssc
Sets array of Set if the data has super sample covariance.
nc_data_cluster_ncounts_gauss_set_lnM_obs
Sets array of NcmVector‘s representing the lower and upper bounds
of each bin.
nc_data_cluster_ncounts_gauss_set_lnM_obs_params
Sets array of NcmVector‘s representing the params
of each bin.
nc_data_cluster_ncounts_gauss_set_resample_s_matrix
Sets a NcmMatrix representing the super sample covariance effect in each bin. This
matrix will be used only during resampling and it is used to test miss specification
of the covariance matrix.
nc_data_cluster_ncounts_gauss_set_s_matrix
Sets a NcmMatrix representing the super sample covariance effect in each bin.
nc_data_cluster_ncounts_gauss_set_z_obs
Sets array of NcmVector‘s representing the lower and upper bounds
of each bin.
nc_data_cluster_ncounts_gauss_set_z_obs_params
Sets array of NcmVector‘s representing the params
of each bin.
Methods inherited from NcmDataGaussCov (11)
ncm_data_gauss_cov_bulk_resample
Resamples the data based on the models in mset according to the current
data distribution. The resampled data is stored in resample. The resampling
is done in bulk, i.e., all the data is resampled at once.
ncm_data_gauss_cov_compute_cov
Computes the covariance matrix based on the models in mset. If
the ncm_data_gauss_cov_func is not set, returns NULL.
ncm_data_gauss_cov_compute_mean
Computes the mean vector based on the models in mset. If
the ncm_data_gauss_cov_mean_func is not set, returns NULL.
ncm_data_gauss_cov_get_log_norma
ncm_data_gauss_cov_get_size
Gets the data size.
ncm_data_gauss_cov_peek_cov
ncm_data_gauss_cov_peek_mean
ncm_data_gauss_cov_replace_mean
Replaces the current mean vector for mean.
ncm_data_gauss_cov_set_cov
Sets a NcmMatrix representing the covariance matrix in each bin.
ncm_data_gauss_cov_set_size
Sets the data size to np.
ncm_data_gauss_cov_use_norma
Sets whether the value of $-2\ln(L)$ will be properly normalized.
Properties
Properties inherited from NcmDataGaussCov (4)
NumCosmoMath.DataGaussCov:cov
NumCosmoMath.DataGaussCov:mean
NumCosmoMath.DataGaussCov:n-points
NumCosmoMath.DataGaussCov:use-norma
Properties inherited from NcmData (5)
NumCosmoMath.Data:bootstrap
The NcmData bootstrap object if any.
NumCosmoMath.Data:desc
Description of the data object.
NumCosmoMath.Data:init
NumCosmoMath.Data:long-desc
Description of the data object.
NumCosmoMath.Data:name
Name of the data object.
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.