nld_T_product¶
- ompy.nld_T_product(double[::1] nld, double[::1] T, double[::1] resolution, double[::1] E_nld, double[::1] Eg, double[::1] Ex)¶
Computes first generation matrix from nld and gSF
- Uses the equation
P(Ex, Eγ) ∝ ρ(Ex-Eγ)·T(Eγ)
The energy resolution is exploited to only perform the product up to the diagonal, and employs multithreading along each row.
- Parameters:
nld – Nuclear level density
T – Transmission coefficients
resolution – The resolution at each bin of Eg
E_nld – The energy array for the nuclear level density
Eg – The gamma energy
Ex – The excitation energy
- Returns:
The first generation matrix
Todo
Is the indexing optimal?