def test_linear_norm():
# initialize the power
c = Cosmology().match(sigma8=0.82)
P = LinearPower(c, redshift=0, transfer='CLASS')
# compute for array
k = numpy.logspace(-3, numpy.log10(0.99 * c.P_k_max), 100)
Pk1 = P(k)
# change sigma8
P.sigma8 = 0.75
Pk2 = P(k)
assert_allclose(Pk1.max() / Pk2.max(), (0.82 / 0.75)**2, rtol=1e-2)
# change redshift
P.redshift = 0.55
Pk3 = P(k)
D2 = c.scale_independent_growth_factor(0.)
D3 = c.scale_independent_growth_factor(0.55)
assert_allclose(Pk2.max() / Pk3.max(), (D2 / D3)**2, rtol=1e-2)
def test_linear():
# initialize the power
c = Cosmology().match(sigma8=0.82)
P = LinearPower(c, redshift=0, transfer='CLASS')
# check velocity dispersion
assert_allclose(P.velocity_dispersion(), 5.898, rtol=1e-3)
# test sigma8
assert_allclose(P.sigma_r(8.), c.sigma8, rtol=1e-5)
# change sigma8
P.sigma8 = 0.80
c = c.match(sigma8=0.80)
assert_allclose(P.sigma_r(8.), P.sigma8, rtol=1e-5)
# change redshift and test sigma8(z)
P.redshift = 0.55
assert_allclose(P.sigma_r(8.), c.sigma8_z(P.redshift), rtol=1e-5)
# desired wavenumbers (in h/Mpc)
k = numpy.logspace(-3, 2, 500)
# initialize EH power
P1 = LinearPower(c, redshift=0., transfer="CLASS")
P2 = LinearPower(c, redshift=0., transfer='EisensteinHu')
P3 = LinearPower(c, redshift=0., transfer='NoWiggleEisensteinHu')
# check different transfers (very roughly)
Pk1 = P1(k)
Pk2 = P2(k)
Pk3 = P3(k)
assert_allclose(Pk1 / Pk1.max(), Pk2 / Pk2.max(), rtol=0.1)
assert_allclose(Pk1 / Pk1.max(), Pk3 / Pk3.max(), rtol=0.1)
# also try scalar
Pk = P(0.1)
