jax_cosmo.angular_cl module¶
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jax_cosmo.angular_cl.angular_cl(cosmo, ell, probes, transfer_fn=<function Eisenstein_Hu>, nonlinear_fn=<function halofit>)[source]¶ Computes angular Cls for the provided probes
All using the Limber approximation
Returns: cls Return type: [ell, ncls]
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jax_cosmo.angular_cl.gaussian_cl_covariance(ell, probes, cl_signal, cl_noise, f_sky=0.25, sparse=True)[source]¶ Computes a Gaussian covariance for the angular cls of the provided probes
Set sparse True to return a sparse matrix representation that uses a factor of n_ell less memory and is compatible with the linear algebra operations in
jax_cosmo.sparse.return_cls: (returns covariance)
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jax_cosmo.angular_cl.gaussian_cl_covariance_and_mean(cosmo, ell, probes, transfer_fn=<function Eisenstein_Hu>, nonlinear_fn=<function halofit>, f_sky=0.25, sparse=False)[source]¶ Computes a Gaussian covariance for the angular cls of the provided probes
Set sparse True to return a sparse matrix representation that uses a factor of n_ell less memory and is compatible with the linear algebra operations in
jax_cosmo.sparse.return_cls: (returns signal + noise cl, covariance)