kk_n_from_k_wavenumber_cached#

exo_skryer.kk_schemes.kk_n_from_k_wavenumber_cached(nu: Array, k_nu: Array, nu_ref: Array, n_ref: Array, cache: KKGridCache) → Array[source]#

Compute n(ν) from k(ν) via a singly-subtracted Kramers–Kronig relation.

This variant is JIT-friendly: the KKGridCache is passed explicitly, avoiding Python-side cache lookups. Grid-dependent trapezoid weights are reused via the cache.

Parameters:

nundarray, shape (N,): Wavenumber grid (strictly increasing), e.g. cm⁻¹.
k_nundarray, shape (N,): Extinction coefficient on the wavenumber grid (clipped to be non-negative).
nu_refndarray: Reference wavenumber used to anchor the subtraction term.
n_refndarray: Real refractive index at nu_ref.
cacheKKGridCache: Precomputed grid quantities for this nu grid (e.g., trapezoid weights).

Returns:

n_nundarray, shape (N,): Real refractive index on the wavenumber grid.