Source code for yadism.coefficient_functions.light.nnlo.xclns2p

# auto-generated module by light package
# pylint: skip-file
# fmt: off
import numba as nb
import numpy as np




@nb.njit("f8(f8,f8[:])", cache=True)
def clnn2a(y, args):
    nf = args[0]
    dl  = np.log(y)
    dl1 = np.log(1.-y)
    res = - 40.41 + 97.48 * y + (26.56 * y - 0.031) * dl**2 - 14.85 * dl + 13.62 * dl1**2 - 55.79 * dl1 - 150.5 * dl * dl1 + nf * 16./27.e0 * ( 6.* y*dl1 - 12.* y*dl - 25.* y + 6.)
    return res




@nb.njit("f8(f8,f8[:])", cache=True)
def clnc2a(y, args):
    nf = args[0]
    dl  = np.log(y)
    dl1 = np.log(1.-y)
    res = - 52.27 + 100.8 * y + (23.29 * y - 0.043) * dl**2 - 22.21 * dl + 13.30 * dl1**2 - 59.12 * dl1 - 141.7 * dl * dl1 + nf * 16./27.e0 * ( 6.* y*dl1 - 12.* y*dl - 25.* y + 6.)
    return res




@nb.njit("f8(f8,f8[:])", cache=True)
def clnn2c(y, args):
    res = -0.164
    return res




@nb.njit("f8(f8,f8[:])", cache=True)
def clnc2c(y, args):
    res = -0.150
    return res