def test_R_vs_M():
R = 1.0 #Mpc/h
M = 4.*np.pi/3. * Omega_m * rhomconst * R**3
npt.assert_almost_equal(bias.bias_at_R(R, klin, plin), bias.bias_at_M(M, klin, plin, Omega_m))
R = np.array([1.2, 1.4, 1.5])
M = 4.*np.pi/3. * Omega_m * rhomconst * R**3
npt.assert_array_almost_equal(bias.bias_at_R(R, klin, plin), bias.bias_at_M(M, klin, plin, Omega_m))
def test_single_vs_array():
#First sigma2
a1 = peaks.sigma2_at_M(Ma, klin, plin, Omega_m)
a2 = np.array([peaks.sigma2_at_M(Mi, klin, plin, Omega_m) for Mi in Ma])
npt.assert_array_equal(a1, a2)
a1 = peaks.sigma2_at_R(Ra, klin, plin)
a2 = np.array([peaks.sigma2_at_R(Ri, klin, plin) for Ri in Ra])
npt.assert_array_equal(a1, a2)
#Now the bias
a1 = bias.bias_at_M(Ma, klin, plin, Omega_m)
a2 = np.array([bias.bias_at_M(Mi, klin, plin, Omega_m) for Mi in Ma])
npt.assert_array_equal(a1, a2)
a1 = bias.bias_at_R(Ra, klin, plin)
a2 = np.array([bias.bias_at_R(Ri, klin, plin) for Ri in Ra])
npt.assert_array_equal(a1, a2)
def test_mass_dependence():
masses = np.logspace(13, 15, num=100)
arrout = bias.bias_at_M(masses, klin, plin, Omega_m)
for i in range(len(masses)-1):
assert arrout[i] < arrout[i+1]
Rs = (masses/(4./3.*np.pi*Omega_m*rhomconst))**(1./3.)
arrout = bias.bias_at_R(Rs, klin, plin)
for i in range(len(masses)-1):
assert arrout[i] < arrout[i+1]
nus = peaks.nu_at_M(masses, klin, plin, Omega_m)
arrout = bias.bias_at_nu(nus)
for i in range(len(masses)-1):
assert arrout[i] < arrout[i+1]
def test_s2_and_nu_functions():
#Test the mass calls
s2 = peaks.sigma2_at_M(Mass, klin, plin, Omega_m)
nu = peaks.nu_at_M(Mass, klin, plin, Omega_m)
npt.assert_equal(1.686/np.sqrt(s2), nu)
s2 = peaks.sigma2_at_M(Ma, klin, plin, Omega_m)
nu = peaks.nu_at_M(Ma, klin, plin, Omega_m)
npt.assert_array_equal(1.686/np.sqrt(s2), nu)
out = bias.bias_at_M(Ma, klin, plin, Omega_m)
out2 = bias.bias_at_nu(nu)
npt.assert_array_equal(out, out2)
#Now test the R calls
R = 1.0 #Mpc/h; arbitrary
s2 = peaks.sigma2_at_R(R, klin, plin)
nu = peaks.nu_at_R(R, klin, plin)
npt.assert_equal(1.686/np.sqrt(s2), nu)
out = bias.bias_at_R(R, klin, plin)
out2 = bias.bias_at_nu(nu)
npt.assert_array_equal(out, out2)
