CLMM
1.12.0

Getting Started

  • Rapid overview
  • Installation
  • Using and citing CLMM

Usage Demos

  • Generate mock data for a cluster
  • Measure WL Profiles
  • Model WL Profiles
  • Generate mock data for a cluster ensemble
  • Using the cosmoDC2 catalog

Mass Fitting Examples

  • Example 1: Ideal data
  • Example 1b: Impact of miscentering
  • Example 2: Realistic data and wrong model
  • Example 3: Account for the n(z) of sources
  • Example 4: Using a real dataset (HSC)
  • Example 5: Using a real datasets (DES)

Other

  • Model WL Profiles (different redshift inputs)
  • Model WL Profiles (Object Oriented)
  • Boost factors
  • Weak lensing weights
  • Mass conversion between different mass definitions
  • Generate “realistic” mock data for a cluster ensemble

Reference

  • API Documentation
    • clmm.clusterensemble module
    • clmm.constants module
    • clmm.cosmology package
      • clmm.cosmology.ccl module
      • clmm.cosmology.cluster_toolkit module
      • clmm.cosmology.numcosmo module
      • clmm.cosmology.parent_class module
    • clmm.dataops package
    • clmm.galaxycluster module
    • clmm.gcdata module
    • clmm.redshift package
      • clmm.redshift.distributions module
      • clmm.redshift.tools module
    • clmm.theory package
      • clmm.theory.ccl module
      • clmm.theory.cluster_toolkit module
      • clmm.theory.func_layer module
      • clmm.theory.generic module
      • clmm.theory.numcosmo module
      • clmm.theory.parent_class module
    • clmm.plotting package
    • clmm.utils package
      • clmm.utils.beta_lens module
      • clmm.utils.boost module
      • clmm.utils.ellipticity module
      • clmm.utils.statistic module
      • clmm.utils.units module
      • clmm.utils.validation module
    • clmm.support package
      • clmm.support.mock_data module
      • clmm.support.sampler module
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