firecrown.likelihood.binned_cluster_number_counts_deltasigma
This module holds classes needed to predict the binned cluster shear profile.
The binned cluster shear profile statistic predicts the excess density surface mass of clusters within a single redshift and mass bin.
Classes
The Binned Cluster Delta Sigma statistic. |
Module Contents
- class firecrown.likelihood.binned_cluster_number_counts_deltasigma.BinnedClusterDeltaSigma(cluster_properties, survey_name, cluster_recipe, systematics=None)[source]
Bases:
firecrown.likelihood.binned_cluster.BinnedCluster
The Binned Cluster Delta Sigma statistic.
This class will make a prediction for the deltasigma of clusters in a z, mass, radial bin and compare that prediction to the data provided in the sacc file.
- Parameters:
cluster_properties (firecrown.models.cluster.ClusterProperty)
survey_name (str)
cluster_recipe (firecrown.models.cluster.MurataBinnedSpecZDeltaSigmaRecipe)
systematics (None | list[firecrown.likelihood.source.SourceSystematic])
- read(sacc_data)[source]
Read the data for this statistic and mark it as ready for use.
- Parameters:
sacc_data (sacc.Sacc) – The data in the sacc format.
- Return type:
None
- get_binned_cluster_property(tools, cluster_properties)[source]
Computes the mean deltasigma of clusters in each bin.
Using the data from the sacc file, this function evaluates the likelihood for a single point of the parameter space, and returns the predicted mean deltasigma of the clusters in each bin.
- Parameters:
cluster_properties (firecrown.models.cluster.ClusterProperty)
- Return type:
list[float]