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Releases: LSSTDESC/TJPCov

v0.4.0

17 Oct 15:43
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Important

  • We have moved to CCLv3. CCLv2 will not work with TJPCov any longer.

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Full Changelog: v0.3.1...v0.4.0

v0.3.2

08 May 16:49
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v0.3.0

27 Jan 18:29
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  • Split cluster count covariance into SSC and Gaussian builders. by @mattkwiecien in #68

Full Changelog: v0.2.0...v0.3.0

v0.2.0

03 Jan 00:39
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  • Merge cluster covariance base class and cluster count covariance implementation into TJPCov by @mattkwiecien in #59
  • Fixed covariance_from_name (issue66) by @carlosggarcia in #67

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v0.1.2

30 Dec 23:06
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v0.1.1

20 Dec 10:40
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v0.1.1-dev2

20 Dec 10:37
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v0.1.1-dev2 Pre-release
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v0.1.1-dev1

20 Dec 01:01
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v0.1.1-dev1 Pre-release
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v0.1.1-dev

20 Dec 00:44
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v0.1

20 Dec 00:29
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This is the first TJPCov release. It is still under active development and changes can happen (although we will try to minimize the disruption and fix whatever we break). There are also parts of the code that do not work as intended or are still not implemented. At the moment this version fully support:

  • Gaussian covariance with NaMaster (in #21) and SSC with halo-model approximation as implemented in CCL (in #34). This can be used directly in TJPcov or through TXPipe (#25 and #26). By @carlosggarcia
  • Wigner transforms. These are used to project the Fourier space covariances to real space. Tested through TXPipe in Judit et al 2022 with Gaussian simulations. By @felipeaoli & @sukhdeep2
  • MPI parallelization by @carlosggarcia in #29.

In addition,

  • There is an implementation of the fsky approximation in Fourier and Real space that has some problems with the binning at the moment (#52 & #39). By @felipeaoli & @sukhdeep2
  • The code has been rewritten to have a better API that makes development and usage easier by @carlosggarcia in #44 and #51.