ccl_test_distances Namespace Reference

Functions
def	read_chi_test_file ()
def	read_dm_test_file ()
def	compare_distances (z, chi_bench, dm_bench, Omega_v, w0, wa)
def	test_distance_model_0 ()
def	test_distance_model_1 ()
def	test_distance_model_2 ()
def	test_distance_model_3 ()
def	test_distance_model_4 ()

Variables
int	DISTANCES_TOLERANCE = 1e-4
float	Omega_c = 0.25
float	Omega_b = 0.05
int	N_nu_rel = 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_distances()

def ccl_test_distances.compare_distances	(		z,
			chi_bench,
			dm_bench,
			Omega_v,
			w0,
			wa
	)

Compare distances calculated by pyccl with the distances in the benchmark 
file.
This test is only valid when radiation is explicitly set to 0.

read_chi_test_file()

def ccl_test_distances.read_chi_test_file

(

)

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

read_dm_test_file()

def ccl_test_distances.read_dm_test_file

(

)

Read the file containing all the distance modulus benchmarks 

test_distance_model_0()

def ccl_test_distances.test_distance_model_0

(

)

test_distance_model_1()

def ccl_test_distances.test_distance_model_1

(

)

test_distance_model_2()

def ccl_test_distances.test_distance_model_2

(

)

test_distance_model_3()

def ccl_test_distances.test_distance_model_3

(

)

test_distance_model_4()

def ccl_test_distances.test_distance_model_4

(

)

Variable Documentation

A_s

float ccl_test_distances.A_s = 2.1e-9

DISTANCES_TOLERANCE

int ccl_test_distances.DISTANCES_TOLERANCE = 1e-4

h

float ccl_test_distances.h = 0.7

N_nu_rel

int ccl_test_distances.N_nu_rel = 0.

n_s

float ccl_test_distances.n_s = 0.96

Omega_b

float ccl_test_distances.Omega_b = 0.05

Omega_c

float ccl_test_distances.Omega_c = 0.25

Omega_v_vals

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

w0_vals

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

wa_vals

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