def test_teff():
fN_default = FNModel.default_model()
zval, teff_LL = pyteff.lyman_limit(fN_default, 0.5, 2.45)
#
np.testing.assert_allclose(zval[0], 0.5)
#np.testing.assert_allclose(teff_LL[0], 1.8176161746504436) scipy 0.16
np.testing.assert_allclose(teff_LL[0], 1.8190744845274058) # scipy 0.17
def test_teff():
fN_default = FNModel.default_model()
zval,teff_LL = pyteff.lyman_limit(fN_default, 0.5, 2.45)
#
np.testing.assert_allclose(zval[0], 0.5)
#np.testing.assert_allclose(teff_LL[0], 1.8176161746504436) scipy 0.16
np.testing.assert_allclose(teff_LL[0], 1.8190744845274058) # scipy 0.17
def teff_LL(outfil='Figures/teff_LL.pdf'):
""" Plot teff_LL from z=3.5 down
"""
# z
zem = 3.5
z912 = 3.
# f(N)
fnmodel = FNModel.default_model()
fnmodel.zmnx = (0.5, 4) # extend default range
# Calculate
zval, teff_LL = lyman_limit(fnmodel, z912, zem)
# Start the plot
xmnx = (3.5, 3)
pp = PdfPages(outfil)
fig = plt.figure(figsize=(8.0, 5.0))
plt.clf()
gs = gridspec.GridSpec(1, 1)
# Lya line
ax = plt.subplot(gs[0])
#ax.xaxis.set_minor_locator(plt.MultipleLocator(0.5))
#ax.xaxis.set_major_locator(plt.MultipleLocator(20.))
#ax.yaxis.set_minor_locator(plt.MultipleLocator(0.1))
#ax.yaxis.set_major_locator(plt.MultipleLocator(0.2))
ax.set_xlim(xmnx)
ax.set_ylim(0., 2)
ax.set_ylabel(r'$\tau_{\rm eff}^{\rm LL}$')
ax.set_xlabel('z')
lw = 2.
# Data
ax.plot(zval, teff_LL, 'b', linewidth=lw) #, label='SDSS QSOs (z=4)')
# Label
csz = 17
ax.text(0.10,
0.80,
'Source at z=3.5',
color='black',
transform=ax.transAxes,
size=csz,
ha='left')
xputils.set_fontsize(ax, 17.)
# Layout and save
print('Writing {:s}'.format(outfil))
plt.tight_layout(pad=0.2, h_pad=0.0, w_pad=0.4)
plt.subplots_adjust(hspace=0)
pp.savefig(bbox_inches='tight')
plt.close()
# Finish
pp.close()
def teff_LL(outfil='Figures/teff_LL.pdf'):
""" Plot teff_LL from z=3.5 down
"""
# z
zem = 3.5
z912 = 3.
# f(N)
fnmodel = FNModel.default_model()
fnmodel.zmnx = (0.5,4) # extend default range
# Calculate
zval, teff_LL = lyman_limit(fnmodel, z912, zem)
# Start the plot
xmnx = (3.5, 3)
pp = PdfPages(outfil)
fig = plt.figure(figsize=(8.0, 5.0))
plt.clf()
gs = gridspec.GridSpec(1,1)
# Lya line
ax = plt.subplot(gs[0])
#ax.xaxis.set_minor_locator(plt.MultipleLocator(0.5))
#ax.xaxis.set_major_locator(plt.MultipleLocator(20.))
#ax.yaxis.set_minor_locator(plt.MultipleLocator(0.1))
#ax.yaxis.set_major_locator(plt.MultipleLocator(0.2))
ax.set_xlim(xmnx)
ax.set_ylim(0., 2)
ax.set_ylabel(r'$\tau_{\rm eff}^{\rm LL}$')
ax.set_xlabel('z')
lw = 2.
# Data
ax.plot(zval, teff_LL, 'b', linewidth=lw)#, label='SDSS QSOs (z=4)')
# Label
csz = 17
ax.text(0.10, 0.80, 'Source at z=3.5',
color='black', transform=ax.transAxes, size=csz, ha='left')
xputils.set_fontsize(ax, 17.)
# Layout and save
print('Writing {:s}'.format(outfil))
plt.tight_layout(pad=0.2,h_pad=0.0,w_pad=0.4)
plt.subplots_adjust(hspace=0)
pp.savefig(bbox_inches='tight')
plt.close()
# Finish
pp.close()
def mfp(self, zem, neval=5000, nzeval=300, cosmo=None, zmin=0.6):
""" Calculate mean free path
Parameters
----------
zem : float
Redshift of source
cosmo : astropy.cosmology, optional
Cosmological model to adopt (as needed)
neval : int, optional
Discretization parameter for NHI (5000)
zmin: float, optional
Minimum redshift in the calculation (0.5)
Returns
-------
mfp : Quantity
Mean free path from zem (physical Mpc)
"""
# Imports
from pyigm.fN import tau_eff as pyteff
# Cosmology
if cosmo is None:
cosmo = cosmology.core.FlatLambdaCDM(70., 0.3)
# Calculate teff
zval, teff_LL = pyteff.lyman_limit(self,
zmin,
zem,
N_eval=neval,
N_zeval=nzeval,
cosmo=cosmo)
# Find tau=1
zt_interp = scii.interp1d(teff_LL, zval)
ztau1 = zt_interp(1.) # Will probably break if 1 is not covered
# MFP
mfp = np.fabs(
cosmo.lookback_distance(ztau1) -
cosmo.lookback_distance(zem)) # Mpc
# Return
return mfp
def mfp(self, zem, neval=5000, cosmo=None, zmin=0.6):
""" Calculate mean free path
Parameters
----------
zem : float
Redshift of source
cosmo : astropy.cosmology, optional
Cosmological model to adopt (as needed)
neval : int, optional
Discretization parameter (5000)
zmin: float, optional
Minimum redshift in the calculation (0.5)
Returns
-------
mfp : Quantity
Mean free path from zem (physical Mpc)
"""
# Imports
from pyigm.fN import tau_eff as pyteff
# Cosmology
if cosmo is None:
cosmo = cosmology.core.FlatLambdaCDM(70., 0.3)
# Calculate teff
zval, teff_LL = pyteff.lyman_limit(self, zmin, zem, N_eval=neval, cosmo=cosmo)
# Find tau=1
zt_interp = scii.interp1d(teff_LL, zval)
ztau1 = zt_interp(1.) # Will probably break if 1 is not covered
# MFP
mfp = np.fabs(cosmo.lookback_distance(ztau1) -
cosmo.lookback_distance(zem)) # Mpc
# Return
return mfp
def test_teff():
fN_default = FNModel.default_model()
zval, teff_LL = pyteff.lyman_limit(fN_default, 0.5, 2.45)
#
np.testing.assert_allclose(zval[0], 0.5)
np.testing.assert_allclose(teff_LL[0], 1.8197, rtol=1e-4) # scipy 0.19
