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Adding prescription of Costanzi et al. 2013 for evaluating the halo mas function in nuCDM cosmologies #1185

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Adding prescription of Costanzi et al. 2013 for evaluating the halo mas function in nuCDM cosmologies #1185

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18 changes: 16 additions & 2 deletions pyccl/boltzmann.py
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Original file line number Diff line number Diff line change
Expand Up @@ -35,6 +35,15 @@ def get_camb_pk_lin(cosmo, *, nonlin=False):
except (KeyError, TypeError):
pass

# Get extra parameters to evaluate
# the halo mass function in cosmology with massive neutrinos
# using prescription by Costanzi et al. 2013(JCAP12(2013)012)
use_costanzi13 = False
try:
use_costanzi13 = cosmo["extra_parameters"]["use_costanzi13"]
except (KeyError, TypeError):
pass

# z sampling from CCL parameters
na = lib.get_pk_spline_na(cosmo.cosmo)
status = 0
Expand Down Expand Up @@ -151,8 +160,13 @@ def get_camb_pk_lin(cosmo, *, nonlin=False):
camb_res = camb.get_transfer_functions(cp)

def construct_Pk2D(camb_res, nonlin=False):
k, z, pk = camb_res.get_linear_matter_power_spectrum(
hubble_units=True, nonlinear=nonlin)
if not use_costanzi13:
k, z, pk = camb_res.get_linear_matter_power_spectrum(
hubble_units=True, nonlinear=nonlin)
else:
k, z, pk = camb_res.get_linear_matter_power_spectrum(
var1='delta_nonu', var2='delta_nonu',
hubble_units=True, nonlinear=nonlin)

# convert to non-h inverse units
k *= cosmo['h']
Expand Down
18 changes: 17 additions & 1 deletion pyccl/halos/halo_model_base.py
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Original file line number Diff line number Diff line change
Expand Up @@ -193,7 +193,23 @@ def __call__(self, cosmo, M, a):
logM, sigM, dlns_dlogM = self._get_logM_sigM(
cosmo, M_use, a, return_dlns=True)

rho = (const.RHO_CRITICAL * cosmo['Omega_m'] * cosmo['h']**2)
# prescription by Costanzi et al. 2013(JCAP12(2013)012)
# to evaluate the halo mass function in nuCDM cosmology

use_costanzi13 = False

try:
use_costanzi13 = cosmo["extra_parameters"]["use_costanzi13"]
except (KeyError, TypeError):
pass

if not use_costanzi13:
rho = (const.RHO_CRITICAL * cosmo['Omega_m'] * cosmo['h']**2)
else:
rho = (const.RHO_CRITICAL
* (cosmo['Omega_c'] + cosmo['Omega_b'])
* cosmo['h']**2)

f = self._get_fsigma(cosmo, sigM, a, 2.302585092994046 * logM)
mf = f * rho * dlns_dlogM / M_use
if np.ndim(M) == 0:
Expand Down
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