CLMM Documentation

The LSST-DESC Cluster Lensing Mass Modeling (CLMM) code is a Python library for performing galaxy cluster weak lensing analyses. clmm is associated with Key Tasks DC1 SW+RQ and DC2 SW of the LSST-DESC Science Roadmap pertaining to absolute and relative mass calibration.

The source code is publically available at https://github.com/LSSTDESC/CLMM

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