SBI approach to Cluster Mass Estimates

[cavestruz]

SBI approach to Cluster Mass Estimates

Generate cluster mass estimates using a Simulation Based Inference approach to compare with traditional methods. Extend the ongoing analysis to use a mock richness-mass relation and combine constraints in "richness" bins.

Contacts: Camille Avestruz, Humna Awan, Akum Gill Day/Time: TBD Main communication channel: #desc-cl-sbi GitHub repo: https://github.com/LSSTDESC/CL-SBI Zoom room (if applicable): TBD

Goals and deliverable

• A jupyter notebook that generates a constraint for "average" cluster masses in a mock richness bin using Simulation Based Inference.
• A jupyter notebook that does the same using the standard traditional approach to fitting weak lensing profiles.

Resources and skills needed

Tutorial on which analysis will be based here

Software skills (python, machine learning) and annotation of jupyter notebooks would be helpful

Detailed description

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