def plot_dsigmadT_cns_systematic(nu_spec,
nu_spec_2,
site_str,
plot_output_name,
text_output_name,
bounds=[1e-5, 1e-1],
use_kev=False):
if (use_kev):
factor = 1.e3
else:
factor = 1.
t_arr = np.logspace(0, 3, num=1000)
fig3 = plt.figure()
fig3.patch.set_facecolor('white')
plt.ylim(bounds)
plt.xlim(1e0 / factor, 1e3 / factor)
zn_rates = dsigmadT_cns_rate(t_arr, 30, 35.38, nu_spec) * factor
plt.loglog(t_arr / factor, zn_rates, 'b-', label='Zn, New', linewidth=2)
zn_rates_2 = dsigmadT_cns_rate(t_arr, 30, 35.38, nu_spec_2) * factor
plt.loglog(t_arr / factor, zn_rates_2, 'k:', label='Zn, Old', linewidth=2)
ge_rates = dsigmadT_cns_rate(t_arr, 32, 72.64 - 32., nu_spec) * factor
plt.loglog(t_arr / factor, ge_rates, 'r-', label='Ge, New', linewidth=2)
ge_rates_2 = dsigmadT_cns_rate(t_arr, 32, 72.64 - 32., nu_spec_2) * factor
plt.loglog(t_arr / factor, ge_rates_2, 'k-.', label='Ge, Old', linewidth=2)
plt.legend(prop={'size': 11})
if (use_kev):
plt.xlabel('Recoil Energy T (keV)')
plt.ylabel('Differential Event Rate (Events/kg/day/keV)')
else:
plt.xlabel('Recoil Energy T (eV)')
plt.ylabel('Differential Event Rate (Events/kg/day/eV)')
plt.title("%s Differential Rate, New vs Old Nu Flux" % site_str)
plt.axvline(x=10.)
plt.axvline(x=100.)
plt.savefig(plot_output_name + ".png")
fig3.clf()
fig4 = plt.figure()
fig3.patch.set_facecolor('white')
plt.semilogx(t_arr, zn_rates / zn_rates_2, 'b-', label='Zn', linewidth=2)
plt.semilogx(t_arr, ge_rates / ge_rates_2, 'r-', label='Ge', linewidth=2)
if (use_kev):
plt.xlabel('Recoil Energy T (keV)')
else:
plt.xlabel('Recoil Energy T (eV)')
plt.ylabel('Ratio of New/Old Differential Rates')
plt.title("%s Ratio of Differential Rates, New vs Old Nu Flux" % site_str)
plt.legend(prop={'size': 11})
plt.axvline(x=10.)
plt.axvline(x=100.)
plt.savefig(plot_output_name + "_ratio.png")
fig4.clf()
def plot_dsigmadT_cns_rate(nu_spec,
site_str,
plot_output_name,
text_output_name,
bounds=[1e-5, 1e-1],
use_kev=False):
if (use_kev):
factor = 1.e3
else:
factor = 1.
t_arr = np.logspace(0, 3, num=1000)
fig3 = plt.figure()
fig3.patch.set_facecolor('white')
plt.ylim(bounds)
plt.xlim(1e0 / factor, 1e3 / factor)
#plt.loglog(t_arr,dsigmadT_cns_rate(t_arr/factor, 14, 28.08-14, nu_spec)*factor,'g-',label='Si (A=28.1)',linewidth=2)
zn_rates = dsigmadT_cns_rate(t_arr, 30, 35.38, nu_spec) * factor
plt.loglog(t_arr / factor,
zn_rates,
'b-',
label='Zn (A=64.4)',
linewidth=2)
ge_rates = dsigmadT_cns_rate(t_arr, 32, 72.64 - 32., nu_spec) * factor
plt.loglog(t_arr / factor,
ge_rates,
'r-',
label='Ge (A=72.6)',
linewidth=2)
#plt.loglog(t_arr/factor,dsigmadT_cns_rate_compound(t_arr, [13, 8], [26.982-13., 16.0-8.], [2, 3], nu_spec)*factor,'c-.',label='Al2O3 (A~20)',linewidth=2)
#plt.loglog(t_arr/factor,dsigmadT_cns_rate_compound(t_arr, [20, 74, 8], [40.078-20., 183.84-74., 16.0-8.], [1, 1, 4], nu_spec)*factor,'m:',label='CaWO4 (A~48)',linewidth=2)
plt.legend(prop={'size': 11})
if (use_kev):
plt.xlabel('Recoil Energy T (keV)')
plt.ylabel('Differential Event Rate (Events/kg/day/keV)')
else:
plt.xlabel('Recoil Energy T (eV)')
plt.ylabel('Differential Event Rate (Events/kg/day/eV)')
plt.title("%s Differential Rate" % site_str)
plt.axvline(x=10.)
plt.axvline(x=100.)
plt.savefig(plot_output_name)
fig3.clf()
np.savetxt(
text_output_name,
np.column_stack((t_arr, zn_rates, ge_rates)),
header=
"# Recoil Energy (eV), Zn Diff Rate (events/kg/day/eV), Ge Diff Rate (events/kg/day/eV)"
)
def plot_low_vs_high(nu_spec,
enu_low=1.8e6,
output_path_prefix="plots/lowe_1_8_diff_",
differential=True,
frac_interest=0.5):
t_arr = np.logspace(0, 3, num=100)
fig3 = plt.figure()
fig3.patch.set_facecolor('white')
if (differential):
plt.loglog(t_arr,
dsigmadT_cns_rate(t_arr,
30,
35.38,
nu_spec,
enu_max=enu_low),
'b-',
label='Zn (A=64.4), enu<%.1f MeV' % (enu_low / 1.e6),
linewidth=2)
plt.loglog(t_arr,
dsigmadT_cns_rate(t_arr,
30,
35.38,
nu_spec,
enu_min=enu_low),
'b--',
label='Zn (A=64.4), enu>%.1f MeV' % (enu_low / 1.e6),
linewidth=2)
plt.loglog(t_arr,
dsigmadT_cns_rate(t_arr,
32,
72.64 - 32.,
nu_spec,
enu_max=enu_low),
'r-',
label='Ge (A=72.6), enu<%.1f MeV' % (enu_low / 1.e6),
linewidth=2)
plt.loglog(t_arr,
dsigmadT_cns_rate(t_arr,
32,
72.64 - 32.,
nu_spec,
enu_min=enu_low),
'r--',
label='Ge (A=72.6), enu>%.1f MeV' % (enu_low / 1.e6),
linewidth=2)
plt.legend(prop={'size': 11})
plt.xlabel('Recoil Energy (eV)')
plt.ylabel('Differential Event Rate (Events/kg/day/eV)')
plt.title("ILL Differential Rate")
plt.ylim(1e-4, 1e1)
else:
plt.loglog(t_arr,
total_cns_rate_an(t_arr, enu_low, 30, 35.38, nu_spec),
'b-',
label='Zn(A=64.4), enu<%.1f MeV' % (enu_low / 1.e6),
linewidth=2)
plt.loglog(t_arr,
total_cns_rate_an(t_arr,
1.e7,
30,
35.38,
nu_spec,
enu_min=enu_low),
'b--',
label='Zn(A=64.4)), enu>%.1f MeV' % (enu_low / 1.e6),
linewidth=2)
plt.loglog(t_arr,
total_cns_rate_an(t_arr, enu_low, 32, 72.64 - 32., nu_spec),
'r-',
label='Ge (A=72.6), enu<%.1f MeV' % (enu_low / 1.e6),
linewidth=2)
plt.loglog(t_arr,
total_cns_rate_an(t_arr,
1.e7,
32,
72.64 - 32.,
nu_spec,
enu_min=enu_low),
'r--',
label='Ge (A=72.6), enu>%.1f MeV' % (enu_low / 1.e6),
linewidth=2)
plt.legend(prop={'size': 11})
plt.xlabel('Recoil Threshold (eV)')
plt.ylabel('Total Event Rate (Events/kg/day)')
plt.title("ILL Total Rate")
plt.ylim(1e-3, 1e3)
plt.axvline(x=10.)
plt.axvline(x=100.)
plt.savefig(output_path_prefix + 'rate_low_vs_high_example.png')
fig3.clf()
Z_arr = [[30], [32]]
N_arr = [[35.38], [72.64 - 32]]
weights_arr = [[1], [1]]
labels_arr = ["Zn (A=64.4)", "Ge (A=72.6)"]
lines_arr = ['b-', 'r-']
point_colors = ['k', 'k']
plot_A_arr = []
plot_threshold_arr = []
t_arr = np.logspace(-2, 4, num=200)
fig4 = plt.figure()
fig4.patch.set_facecolor('white')
for i in range(len(Z_arr)):
A_sum = 0
weight_sum = 0
for j in range(len(Z_arr[i])):
A_sum += (Z_arr[i][j] + N_arr[i][j]) * weights_arr[i][j]
weight_sum += weights_arr[i][j]
plot_A_arr.append(A_sum / weight_sum)
if (differential):
frac = dsigmadT_cns_rate_compound(t_arr, Z_arr[i], N_arr[i], weights_arr[i], nu_spec, enu_max=enu_low)/\
dsigmadT_cns_rate_compound(t_arr, Z_arr[i], N_arr[i], weights_arr[i], nu_spec)
else:
frac = total_cns_rate_an_compound(t_arr, enu_low, Z_arr[i], N_arr[i], weights_arr[i], nu_spec)/\
total_cns_rate_an_compound(t_arr, 1e7, Z_arr[i], N_arr[i], weights_arr[i], nu_spec)
frac[np.isnan(frac)] = 0
frac[frac > 1.] = 0 # It's a fraction, so it should be <1.0
idx = np.argwhere(np.diff(np.sign(frac - frac_interest))).flatten()
plot_threshold_arr.append(t_arr[idx[0]])
plt.semilogx(t_arr,
frac,
lines_arr[i],
label=labels_arr[i],
linewidth=2)
np.savetxt("results/ill_reactor_lt_1_8_total_fraction_%s.txt" %
labels_arr[i][:2],
np.column_stack((t_arr, frac)),
header="# T (eV), Fraction")
plt.legend(prop={'size': 11})
#plt.axhline(y=frac_interest)
plt.ylim(0., 0.3)
plt.xlim(1e0, 1e3)
plt.xlabel('Recoil Energy (eV)')
if (differential):
plt.ylabel(
'Differential Event Rate Fraction, enu<%.1f MeV Over Total' %
(enu_low / 1.e6))
plt.title(
"Chooz Very Near Site (80 m) Differential Rate, Fraction from enu<%.1f MeV"
% (enu_low / 1.e6))
else:
plt.ylabel('Total Event Rate Fraction, enu<1.8 MeV Over Total')
plt.title(
"Chooz Very Near Site (80 m) Total Rate, Fraction from enu<%.1f MeV"
% (enu_low / 1.e6))
plt.axvline(x=1.)
plt.axvline(x=10.)
plt.axvline(x=50.)
plt.axvline(x=100.)
plt.savefig(output_path_prefix + 'rate_low_vs_high_fraction.png')
fig4.clf()
fig = plt.figure()
plt.scatter(plot_A_arr, plot_threshold_arr, color=point_colors)
plt.xlabel("A")
if (differential):
plt.ylabel("Recoil Energy with %.1f%% of Enu<%.1f" %
((frac_interest * 100), (enu_low / 1.e6)))
plt.title("Recoil Energy for %.1f%% of Low Energy nu" %
(frac_interest * 100))
else:
plt.ylabel("Recoil Threshold with %.1f%% of Enu<%.1f" %
((frac_interest * 100), (enu_low / 1.e6)))
plt.title("Recoil Threshold for %.1f%% of Low Energy nu" %
(frac_interest * 100))
plt.savefig(output_path_prefix + 'lowe_domination_threshold.png')
def plot_cevns_bump_split(nu_spec, bump_fracs, cns_bounds):
old_frac = nu_spec.bump_frac
fig1, (a0, a1) = plt.subplots(2, 1,
gridspec_kw={'height_ratios': [2, 1],})
plt.subplots_adjust(bottom=0.075, top=0.95)
fig1.patch.set_facecolor('white')
fig1.set_figheight(9)
lines_arr = ['b--', 'r-.', 'y:',
'c-', 'g--', 'm-.']
#t_arr = np.logspace(0, 5, num=10000)
t_arr = np.logspace(0, np.log10(3000), num=50)
nu_spec.bump_frac = 0.
spec_0 = dsigmadT_cns_rate(t_arr, 32, 72.64-32., nu_spec)
a0.loglog(t_arr*1.e-3,spec_0*1.e3,'k-',linewidth=2)
bump_specs = []
for i in range(len(bump_fracs)):
nu_spec.bump_frac = bump_fracs[i]
spec_bump = dsigmadT_cns_rate(t_arr, 32, 72.64-32., nu_spec)
bump_specs.append(spec_bump)
a0.loglog(t_arr*1.e-3, spec_0*(1.-bump_fracs[i])*1.e3,
lines_arr[i],label="Non-Bump Spectrum",linewidth=2)
a0.loglog(t_arr*1.e-3, (spec_bump-spec_0*(1.-bump_fracs[i]))*1.e3,
lines_arr[i][0]+'-',label="Bump Spectrum",linewidth=2)
a0.set_ylim(cns_bounds)
a0.set_xlim(1.e-3, 3.)
a0.set(ylabel='Ge Differential Event Rate (dru)')
a0.set_title("Ge Differential Rate at Chooz Reactor")
a0.legend(prop={'size':11})
a0.axvline(x=1.e-3, color='k', linestyle=":")
a0.axvline(x=10.e-3, color='k', linestyle=":")
a0.axvline(x=50.e-3, color='k', linestyle=":")
a1.semilogx(t_arr*1.e-3, spec_0/spec_0, 'k-', label='No Distortion', linewidth=2)
for i in range(len(bump_fracs)):
spec_bump = bump_specs[i]
a1.semilogx(t_arr*1.e-3,spec_bump/spec_0,
lines_arr[i],label="Bump=%.2f%%"%(100.*bump_fracs[i]),linewidth=2)
a1.set_ylim(0.75, 1.25)
a1.set_xlim(1.e-3, 3.)
a1.legend(prop={'size':11})
#plt.xlabel('Recoil Energy T (keV)')
a1.set(xlabel='Recoil Energy T (keV)', ylabel='Ratio')
a0.axvline(x=1.e-3, color='k', linestyle=":")
a1.axvline(x=10.e-3, color='k', linestyle=":")
a1.axvline(x=50.e-3, color='k', linestyle=":")
'''axins = inset_axes(a0, width=3.5, height=2.5, loc=3,
bbox_to_anchor=(0.24, 0.3),
bbox_transform=a0.transAxes)
axins.loglog(t_arr*1.e-3,spec_0*1.e3,'k-',label='No Distortion',linewidth=2)
for i in range(len(bump_fracs)):
spec_bump = bump_specs[i]
axins.loglog(t_arr*1.e-3, spec_bump*1.e3,
lines_arr[i],label="Bump=%.2f%%"%(100.*bump_fracs[i]),linewidth=2)
axins.set_xlim(400., 1000.)
axins.set_ylim(0., 0.02)'''
plt.savefig('plots/reactor_bump_dsigmadT_split.png')
nu_spec.bump_frac = old_frac
def plot_cevns_bump(nu_spec, bump_fracs, cns_bounds):
old_frac = nu_spec.bump_frac
fig1, (a0, a1) = plt.subplots(2, 1,
gridspec_kw={'height_ratios': [2, 1],})
plt.subplots_adjust(bottom=0.075, top=0.95)
fig1.patch.set_facecolor('white')
fig1.set_figheight(8.5)
lines_arr = ['b--', 'r-.', 'y:',
'c-', 'g--', 'm-.']
#t_arr = np.linspace(0, 10000, num=10000)
#t_arr = np.linspace(0, 10000, num=100)
t_arr = np.logspace(0, 4, num=100)
nu_spec.bump_frac = 0.
spec_0 = dsigmadT_cns_rate(t_arr, 32, 72.64-32., nu_spec)
a0.plot(t_arr*1.e-3,spec_0*1.e3,'k-',label='No Distortion',linewidth=2)
bump_specs = []
for i in range(len(bump_fracs)):
nu_spec.bump_frac = bump_fracs[i]
spec_bump = dsigmadT_cns_rate(t_arr, 32, 72.64-32., nu_spec)
bump_specs.append(spec_bump)
a0.plot(t_arr*1.e-3, spec_bump*1.e3,
lines_arr[i],label="Bump=%.2f%%"%(100.*bump_fracs[i]),linewidth=2)
a0.set_xlim(1.e-3, 3.)
a0.set_xscale("log")
a0.set_ylim(cns_bounds)
a0.set_yscale("log")
a0.set(ylabel='Ge Differential Event Rate (dru)')
a0.set_title("Ge Differential Rate at Commercial Reactor")
a0.axvline(x=1.e-3, color='k', linestyle=":")
a0.axvline(x=10.e-3, color='k', linestyle=":")
a0.axvline(x=50.e-3, color='k', linestyle=":")
a1.plot(t_arr*1.e-3, spec_0/spec_0, 'k-', label='No Distortion', linewidth=2)
for i in range(len(bump_fracs)):
spec_bump = bump_specs[i]
a1.plot(t_arr*1.e-3,spec_bump/spec_0,
lines_arr[i],label="Bump=%.2f%%"%(100.*bump_fracs[i]),linewidth=2)
a1.set_xlim(1.e-3, 3.)
a1.set_xscale("log")
a1.set_ylim(0.75, 1.25)
a1.legend(prop={'size':11})
#plt.xlabel('Recoil Energy T (keV)')
a1.set(xlabel='Recoil Energy T (keV)', ylabel='Ratio')
a0.axvline(x=1.e-3, color='k', linestyle=":")
a1.axvline(x=10.e-3, color='k', linestyle=":")
a1.axvline(x=50.e-3, color='k', linestyle=":")
axins = inset_axes(a0, width=3, height=2, loc=3,
bbox_to_anchor=(0.12, 0.075),
bbox_transform=a0.transAxes)
axins.xaxis.set_major_locator(plt.MaxNLocator(1))
axins.xaxis.set_minor_locator(plt.MaxNLocator(1))
axins.plot(t_arr*1.e-3,spec_0*1.e3,'k-',label='No Distortion',linewidth=2)
for i in range(len(bump_fracs)):
spec_bump = bump_specs[i]
axins.plot(t_arr*1.e-3, spec_bump*1.e3,
lines_arr[i],label="Bump=%.2f%%"%(100.*bump_fracs[i]),linewidth=2)
zoom_lb = 0.4
zoom_ub = 1.2
axins.set_xlim(zoom_lb, zoom_ub)
axins.set_xscale("log")
axins.set_ylim(2.e-1, 2.e1)
axins.set_yscale("log")
# On all plots, shade in the zoomed region
x_fill = np.array([zoom_lb, zoom_ub])
a0.fill_between(x_fill, -10, 1.e13,
color='lightgrey')
a1.fill_between(x_fill, -10, 1.e13,
color='lightgrey')
plt.savefig('plots/reactor_bump_dsigmadT.png')
nu_spec.bump_frac = old_frac