def test_sn_jla_lite_slow_camb(modules):
best_fit = deepcopy(best_fit_base)
lik = "sn_jla_lite"
info_likelihood = {lik: {"marginalize": True, "precompute_covmats": False}}
info_theory = {"camb": {"use_planck_names": True}}
body_of_test(modules, best_fit, info_likelihood, info_theory,
chi2_sn_jla_lite)
def test_sn_jla_classy(modules):
best_fit = deepcopy(best_fit_base)
best_fit.update(best_fit_sn)
lik = "sn_jla"
info_likelihood = {lik: {}}
info_theory = {"classy": {"use_planck_names": True}}
body_of_test(modules, best_fit, info_likelihood, info_theory, chi2_sn_jla)
def test_sdss_dr12_consensus_final_classy(modules):
lik = "sdss_dr12_consensus_final"
info_likelihood = {lik: {}}
info_theory = {"classy": {"use_planck_names": True}}
chi2_classy = deepcopy(chi2_sdss_dr12_consensus_final)
chi2_classy["tolerance"] += 1.2
body_of_test(modules, best_fit_base, info_likelihood, info_theory,
chi2_classy)
def test_sdss_dr12_consensus_bao_camb(modules):
lik = "sdss_dr12_consensus_bao"
info_likelihood = {lik: {}}
info_theory = {"camb": {"use_planck_names": True}}
body_of_test(modules, best_fit_base, info_likelihood, info_theory,
chi2_sdss_dr12_consensus_bao)
def test_bicep_keck_2015_camb(modules):
info_theory = {"camb": {"use_planck_names": True}}
body_of_test(modules, params, lik_info, info_theory, chi2, derived)
def test_bicep_keck_2015_classy(modules):
info_theory = {"classy": {"use_planck_names": True}}
chi2_classy = deepcopy(chi2)
chi2_classy["tolerance"] += 2.0
body_of_test(modules, params, lik_info, info_theory, chi2_classy, derived)
def test_sn_pantheon_camb(modules):
lik = "sn_pantheon"
info_likelihood = {lik: {}}
info_theory = {"camb": {"use_planck_names": True}}
body_of_test(modules, best_fit_base, info_likelihood, info_theory,
chi2_sn_pantheon)