Power spectrum responses for SSC

[RyoTerasawa]

In pyccl/pkresponse.py, I implemented the functions to calculate power spectrum responses to the super-survey modes which are responsible for super-sample covariance (SSC), based on arXiv:2310.13330. We approximate the power spectrum growth response to the super-survey modes by its growth response to the Hubble parameter.

For the galaxy-matter and galaxy-auto power spectra, the halo statistics (halo-matter/halo-auto power spectrum, mass function) are calculated by DarkEmulator.

[coveralls]

Pull Request Test Coverage Report for Build 9625354277

Details

• 339 of 387 (87.6%) changed or added relevant lines in 4 files are covered.
• 1 unchanged line in 1 file lost coverage.
• Overall coverage decreased (-0.5%) to 96.91%

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Changes Missing Coverage	Covered Lines	Changed/Added Lines	%
pyccl/halos/hmfunc/darkemulator.py	36	38	94.74%
pyccl/pkresponse.py	301	347	86.74%
<!--	Total:	339	387	87.6%	-->

Files with Coverage Reduction	New Missed Lines	%
pyccl/_core/parameters/fftlog_params.py	1	97.06%
<!--	Total:	1		-->

Totals
Change from base Build 9566319765:	-0.5%
Covered Lines:	6900
Relevant Lines:	7120

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💛 - Coveralls

[damonge]

@RyoTerasawa can I check what the status of this PR is?

[RyoTerasawa]

I am waiting for someone to review the code. I haven't asked for a specific person yet, but maybe I should ask a member of the MCPCov group to review it. I am happy to explain the details if needed. I am also working on writing the unit test and benchmark test to be included in this PR.

[carlosggarcia]

@RyoTerasawa @YueNan-c, maybe you want to also implement the DarkEmulator here: https://github.com/LSSTDESC/CCL/blob/master/pyccl/emulators/cosmicemu_pk.py.

Are the unit tests and benchmark ready?

[damonge]

@RyoTerasawa @carlosggarcia can I check what the status of this is?

[RyoTerasawa]

@carlosggarcia @damonge Sorry for the late reply. I just added the unit tests and benchmark, and this pull request is ready to be reviewed.