Open jharno opened 3 years ago
It would be great to let all know when we are meeting. Also, my student Leonel has been reading the paper on the method and would like contribute but not sure if he has a desc github userneme so far. I will ping him
Things to do:
Here is my progress report for today, I opened a notebook here: https://github.com/LSSTDESC/SkySim5000_IA_infusion/blob/main/NaMaster.ipynb And should be not too far away from some nice pseudo Cells with NaMaster
Sorry everyone, I accidentally closed the issue, instead of deleting a comment. Our Sprint is still open!
I have calculated the 3D auto and cross correlation functions for all 5 bins. The PR was approved by @jharno and merged. @mishakb and I are wondering what needs to be done for "validating" the catalogs? [item 1 in the to-do list]
@Lhior and I have been discussing and analyzing some of the output auto/cross-correlations using the catalogs and treecor output. @jharno has already merged the PR with the 15 correlation files but here are two examples plots that @Lhior and I have produced and have been discussing.
Infusing IA in SkySim5000
This sprint will infuse IA in mock lensing catalogues based on SkySim5000 (not the official one) and assign intrinsic alignment models based on the projected tidal field tensor.
Contacts: Joachim Harnois-Deraps Day/Time: M-Tu-W-Th Main communication channel: desc-ia (slack) GitHub repo: https://github.com/LSSTDESC/SkySim5000_IA_infusion
Goals and deliverable
1- The lensing catalogues (with the tidal field values) already exist, but need validation (e.g. comparing the shear 2PCF with predictions). Different choices were made in their constructions, which could potentially be improved.
2-The prescription to assign IA based on the tidal field exists but needs to be implemented. Likely the normalisation of the tidal field is off and needs to be determined empirically, e.g. from comparing the measured 2PCF with IA with theoretical predictions.
3-All ingredients to infuse the TATT model are there, but that needs to be coded in a notebook
4-We need to be able to run the cosmoSIS TATT IA modules.
5-I have mocks with the same n(z), but in which the cosmology is varied (25 points in a wCDM space) so we could verify the cosmology dependence of the IA signal.
Resources and skills needed
Needs access to NERSC (ideally cori) to access data and run the existing notebooks Knowledge of TreeCorr and cosmoSIS a big plus, as these will be the main validation tools.
Detailed description
The final goal is to emulate IA as a function of cosmology, and show that we can recover the IA parameters completely from our simulation-infused IA (i.e. without relying on the analytical IA model for the 2PCF). Once that's established, we can apply the method on weak lensing statistics beyond 2PCFs.
Link to the Simulation Data:
cori:/global/homes/j/jharno/IA-infusion/SkySim5000/GalCat/StageIV_nz/GalCat_tomo[TOMO]_All_0.06GpAM_RA_Dec_g1_g2_w_den_Sij.dat
where [TOMO] in [1-5]