Running CLMM on Legacy Survey data

[shenmingfu]

Running CLMM on Legacy Survey data

We test CLMM on Legacy Survey data (https://www.legacysurvey.org/dr9/catalogs/), starting from DECaLS catalogs.

Contacts: @shenmingfu Day/Time: Oct 17 - 21, 2022 Main communication channel: Slack #desc-cl-clmassmod GitHub repo: https://github.com/LSSTDESC/CLMM Zoom room (if applicable): In-person (virtual participants are welcome)

Goals and deliverable

1. Selecting galaxy clusters in the Legacy Survey footprint for the CLMM test (e.g. clusters that have high lensing mass and/or high richness, X-ray luminosity, SZ effect, etc.). Legacy Survey galaxy cluster catalog: https://ui.adsabs.harvard.edu/abs/2021ApJS..253...56Z/abstract
2. Building a Jupyter notebook for demonstrating using CLMM on the published Legacy Survey catalogs.
3. Comparing the CLMM results with previous studies.

Resources and skills needed

Software: CLMM Data: The Legacy Survey public catalogs. Data access: https://www.legacysurvey.org/dr9/description/ https://datalab.noirlab.edu/ls/ls.php Data acknowledgments: https://www.legacysurvey.org/acknowledgment/ https://www.legacysurvey.org

Detailed description

The notebook will mainly be developed and tested on NERSC. This project is similar to https://github.com/LSSTDESC/SprintDayChicago2022/issues/9.

[shenmingfu]

The steps of this sprint:

• [x] Installing CLMM and setting things up
• [x] Selecting a cluster
• [x] Downloading the published catalogs at the cluster field
  • [x] Shape catalog
  • [x] Photo-z catalog
  • [x] Photometry catalog
• [x] Loading the catalog into CLMM
  • [x] Reading the catalog
  • [x] Adding cuts on the catalog
  • [ ] Running shear calibration if needed
  • [x] Adjusting column names
• [x] Running CLMM on the dataset
  • [x] Obtaining a shear profile using CLMM
  • [x] Obtaining a mass fit using CLMM
• [x] Comparing the mass with the published result
• [x] Selecting other clusters and repeating the above steps if possible
• [ ] In the future, we could also try stacking their shear profiles in CLMM