https://github.com/tmcclintock/y1_sac_clusters

This repository contains routines for creating semi-analytic covariance matrices used for galaxy cluster weak lensing analyses in DES.
https://github.com/tmcclintock/y1_sac_clusters

Last synced: 26 days ago
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This repository contains routines for creating semi-analytic covariance matrices used for galaxy cluster weak lensing analyses in DES.

• Host: GitHub
• URL: https://github.com/tmcclintock/y1_sac_clusters
• Owner: tmcclintock
• License: bsd-2-clause
• Created: 2017-10-27T23:34:23.000Z (about 7 years ago)
• Default Branch: master
• Last Pushed: 2018-08-10T19:46:56.000Z (over 6 years ago)
• Last Synced: 2024-10-27T11:08:59.007Z (2 months ago)
• Language: Python
• Size: 74.3 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
In this directory we create the semi-analytic covariance matrices. The first step is to create Tom's part. This is the part that contains M-lambda scatter, M-c scatter, and miscentering effects.

UNITS:

DeltaSigma stack realizations are saved in units of hMsun/pc^2 comoving.

After merging, the covariance matrices produced here are in units of [Msun/pc^2 physical]^2.