SSC for g-g lensing and galaxy clustering using DarkEmulator#1079
Closed
RyoTerasawa wants to merge 23 commits intomasterfrom
Closed
SSC for g-g lensing and galaxy clustering using DarkEmulator#1079RyoTerasawa wants to merge 23 commits intomasterfrom
RyoTerasawa wants to merge 23 commits intomasterfrom
Conversation
Add the function Tk3D_SSC_Terasawa22 for computing super-sample covariance. Also add some module to import.
Update tk3d.py
Update tk3d.py
Lint errors correction
Update tk3d.py
Lint-check for SSC-Terasawa
update tk3d.py
Fix free Einasto alpha dimension (#989)
Contributor
Author
|
The changes in this PR is now included in |
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
2 participants
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
I implemented the functions to calculate galaxy-matter and galaxy-auto power spectrum responses to the super-survey modes, which are responsible for super sample covariance. The halo statistics (halo-matter/halo-auto power spectrum, mass function) are calculated by DarkEmulator. We approximate the halo-matter/halo-auto power spectrum growth response to super-survey modes by its growth response to the Hubble parameter, which is calculated using DarkEmulator.
Changes are mostly in darkemulator.py, which I created.
In darkemulator.py, the main functions are
darkemu_Pgm_Tk3D_SSC: returns a class:
~pyccl.tk3d.Tk3Dobject containing the super-sample covariance trispectrum between galaxy-matter power spectra.darkemu_Pgm_resp: calculates galaxy-matter power spectrum responses to the super-survey modes.
darkemu_Pgg_resp_zresp/darkemu_Pgg_resp_Asresp: calculates galaxy-auto power spectrum responses to the super-survey modes.