plima.backends.ccl.nla#

CCL backend helpers for NLA intrinsic alignment bias inputs.

This module connects PLIMA NLA amplitude models to the IA bias tuple expected by CCL weak lensing tracers.

The NLA amplitude model lives in plima.models.nla. This file only prepares the (z, ia_bias) tuple used by CCL.

Functions

make_ccl_nla_ia_bias(z, *[, amplitude, a_ia])

Return a CCL IA bias tuple for NLA.
plima.backends.ccl.nla.make_ccl_nla_ia_bias(z, *, amplitude=None, a_ia=1.0)[source]#

Return a CCL IA bias tuple for NLA.

Parameters:

  • z (ArrayLike) – Redshift values where the IA bias should be sampled.

  • amplitude (ArrayLike | float | None) – Optional precomputed NLA amplitude evaluated at z. If None, the amplitude is computed from nla_amplitude.

  • a_ia (float) – NLA amplitude normalization used when amplitude is None.

Returns:

Redshift values and IA bias values sampled on the same grid.

Raises:

ValueError – If redshifts are not finite, redshifts are outside the valid domain, or amplitude cannot be broadcast to match z.

Return type:

tuple[ndarray[tuple[Any, …], dtype[float64]], ndarray[tuple[Any, …], dtype[float64]]]