ccl_test_growth Namespace Reference

Functions
def	read_growth_test_file ()
def	compare_growth (z, gfac_bench, Omega_v, w0, wa)
def	test_growth_model_0 ()
def	test_growth_model_1 ()
def	test_growth_model_2 ()
def	test_growth_model_3 ()
def	test_growth_model_4 ()
def	test_mgrowth ()

Variables
int	GROWTH_TOLERANCE = 1e-4
float	Omega_c = 0.25
float	Omega_b = 0.05
int	N_nu_rel = 0.
int	N_nu_mass = 0.
int	m_nu = 0.
float	h = 0.7
float	A_s = 2.1e-9
float	n_s = 0.96
	Omega_v_vals = np.array([0.7, 0.7, 0.7, 0.65, 0.75])
	w0_vals = np.array([-1.0, -0.9, -0.9, -0.9, -0.9])
	wa_vals = np.array([0.0, 0.0, 0.1, 0.1, 0.1])

Function Documentation

compare_growth()

def ccl_test_growth.compare_growth	(		z,
			gfac_bench,
			Omega_v,
			w0,
			wa
	)

Compare growth factor calculated by pyccl with the values in the benchmark 
file. This test only works if radiation is explicitly set to 0.

read_growth_test_file()

def ccl_test_growth.read_growth_test_file

(

)

Read the file containing all the radial comoving distance benchmarks 
(distances are in Mpc/h)

test_growth_model_0()

def ccl_test_growth.test_growth_model_0

(

)

test_growth_model_1()

def ccl_test_growth.test_growth_model_1

(

)

test_growth_model_2()

def ccl_test_growth.test_growth_model_2

(

)

test_growth_model_3()

def ccl_test_growth.test_growth_model_3

(

)

test_growth_model_4()

def ccl_test_growth.test_growth_model_4

(

)

test_mgrowth()

def ccl_test_growth.test_mgrowth

(

)

Compare the modified growth function computed by CCL against the exact 
result for a particular modification of the growth rate.

Variable Documentation

A_s

float ccl_test_growth.A_s = 2.1e-9

GROWTH_TOLERANCE

int ccl_test_growth.GROWTH_TOLERANCE = 1e-4

h

float ccl_test_growth.h = 0.7

m_nu

int ccl_test_growth.m_nu = 0.

N_nu_mass

int ccl_test_growth.N_nu_mass = 0.

N_nu_rel

int ccl_test_growth.N_nu_rel = 0.

n_s

float ccl_test_growth.n_s = 0.96

Omega_b

float ccl_test_growth.Omega_b = 0.05

Omega_c

float ccl_test_growth.Omega_c = 0.25

Omega_v_vals

ccl_test_growth.Omega_v_vals = np.array([0.7, 0.7, 0.7, 0.65, 0.75])

w0_vals

ccl_test_growth.w0_vals = np.array([-1.0, -0.9, -0.9, -0.9, -0.9])

wa_vals

ccl_test_growth.wa_vals = np.array([0.0, 0.0, 0.1, 0.1, 0.1])