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Bacco lbias
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import os | ||
import numpy as np | ||
import pyccl as ccl | ||
import pyccl.nl_pt as pt | ||
import pytest | ||
|
||
LPTPK_TOLERANCE = 1e-4 | ||
|
||
# Set cosmology | ||
COSMO = ccl.Cosmology(Omega_c=0.25, Omega_b=0.05, | ||
h=0.7, sigma8=0.8, n_s=0.96) | ||
|
||
# Redshifts | ||
zs = np.array([0., 1.]) | ||
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# Tracers | ||
ptt = {} | ||
ptt['g'] = pt.PTNumberCountsTracer(b1=1.3, b2=1.5, bs=1.7, bk2=0.1) | ||
ptt['m'] = pt.PTMatterTracer() | ||
|
||
# Calculator | ||
a_arr = 1./(1+np.array([0., 0.25, 0.5, 0.75, 1.]))[::-1] | ||
ptc = pt.BaccoLbiasCalculator(log10k_min=-4, log10k_max=-0.47, | ||
nk_per_decade=20, a_arr=a_arr) | ||
|
||
ptc.update_ingredients(COSMO) | ||
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# Read data | ||
dirdat = os.path.join(os.path.dirname(__file__), 'data') | ||
data = [] | ||
data.append(np.loadtxt(os.path.join(dirdat, 'pt_bm_bacco_lbias_z0.txt'), | ||
unpack=True)) | ||
data.append(np.loadtxt(os.path.join(dirdat, 'pt_bm_bacco_lbias_z1.txt'), | ||
unpack=True)) | ||
order = ['gg', 'gm'] | ||
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||
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@pytest.mark.parametrize('comb', enumerate(order)) | ||
def test_pt_pk(comb): | ||
i_d, cc = comb | ||
t1, t2 = cc | ||
|
||
ptt1 = ptt[t1] | ||
ptt2 = ptt[t2] | ||
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pk = ptc.get_biased_pk2d(ptt1, tracer2=ptt2) | ||
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for iz, z in enumerate(zs): | ||
a = 1./(1+z) | ||
kin = data[iz][0] | ||
ind = np.where((kin < 1.0) & (kin > 1E-3)) | ||
k = kin[ind] | ||
dpk = data[iz][i_d+1][ind] | ||
tpk = pk(k, a, COSMO) | ||
assert np.all( | ||
np.fabs(tpk / dpk - 1) < LPTPK_TOLERANCE | ||
) |
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from .tracers import * | ||
from .ept import * | ||
from .lpt import * | ||
from .bacco_lbias import * |
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