def plot_spectra_artist(background, Na, Cs, Epc):
background = background[:948]
Na = Na[:948]
Cs = Cs[:948]
data = lambda y: (range(len(y)), y)
plot = artist.MultiPlot(1, 3, width=r".3\linewidth")
subplot = plot.get_subplot_at(0, 0)
subplot.plot(*data(background), mark=None)
subplot.set_label("achtergrond")
subplot = plot.get_subplot_at(0, 1)
subplot.plot(*data(Na), mark=None)
subplot.set_label("$^{22}$Na")
subplot = plot.get_subplot_at(0, 2)
subplot.plot(*data(Cs), mark=None)
subplot.set_label("$^{137}$Cs")
plot.show_xticklabels_for_all()
plot.set_xticklabels_position(0, 1, 'top')
plot.set_ylimits_for_all(min=0)
plot.set_yticks_for_all()
plot.set_xlabel("ADC kanaal")
plot.set_ylabel("Signaalsterkte")
plot.save_as_pdf("Na_Cs_background")
E = arange(len(Na)) * Epc
plot = artist.MultiPlot(1, 2, width=r".3\linewidth")
subplot = plot.get_subplot_at(0, 0)
subplot.plot(E, Na - background, mark=None)
subplot.set_label("$^{22}$Na")
subplot.add_pin(r"\SI{.511}{\mega\electronvolt}", 'above', .511, use_arrow=True)
subplot.add_pin(r"\SI{1.2745}{\mega\electronvolt}", 'above', 1.2745, use_arrow=True, style="pin distance=20pt")
subplot = plot.get_subplot_at(0, 1)
subplot.plot(E, Cs - background, mark=None)
subplot.set_label("$^{137}$Cs")
plot.show_xticklabels_for_all()
plot.set_xticklabels_position(0, 1, 'top')
plot.set_ylimits_for_all(min=0)
plot.set_yticks_for_all()
plot.set_xlabel(r"Energie [\si{\mega\electronvolt}]")
plot.set_ylabel("Signaalsterkte")
plot.save_as_document("preview")
plot.save_as_pdf("Na_Cs")
def hist_fav_single_stations(data):
reconstructions = data.root.reconstructions.reconstructions
width = r'.35\linewidth'
graph1 = artist.MultiPlot(1, 3, width=width, height=width)
graph2 = artist.MultiPlot(1, 3, width=width, height=width)
figure()
for n, station in enumerate([501, 503, 506], 1):
query = '(N == 1) & s%d' % station
phi = reconstructions.readWhere(query, field='reconstructed_phi')
theta = reconstructions.readWhere(query, field='reconstructed_theta')
subplot(2, 3, n)
N, bins, patches = hist(rad2deg(phi),
bins=linspace(-180, 180, 21),
histtype='step')
x = (bins[:-1] + bins[1:]) / 2
f = lambda x, a: a
popt, pcov = curve_fit(f, x, N, sigma=sqrt(N))
chi2 = chisquare(N, popt[0], ddof=0)
print station, popt, pcov, chi2
axhline(popt[0])
xlabel(r"$\phi$")
legend([station], loc='lower right')
locator_params(tight=True, nbins=4)
axis('auto')
graph1.histogram(0, n - 1, N, bins)
graph1.set_label(0, n - 1, station)
subplot(2, 3, n + 3)
N, bins, patches = hist(rad2deg(theta),
bins=linspace(0, 45, 21),
histtype='step')
xlabel(r"$\theta$")
legend([station], loc='lower right')
locator_params(tight=True, nbins=4)
axis('auto')
graph2.histogram(0, n - 1, N, bins)
graph2.set_label(0, n - 1, station)
subplots_adjust(wspace=.4)
utils.saveplot()
graph1.set_ylimits_for_all(None, 0, 1500)
graph1.set_xlimits_for_all(None, -180, 180)
graph1.show_yticklabels(0, 0)
graph1.show_xticklabels_for_all()
graph1.set_xticklabels_position(0, 1, 'right')
graph1.set_xticks_for_all(None, range(-180, 181, 90))
graph1.set_xlabel(r'Shower azimuthal angle [\si{\degree}]')
graph1.set_ylabel('Count')
artist.utils.save_graph(graph1, suffix='phi', dirname='plots')
graph2.set_ylimits_for_all(None, 0, 2000)
graph2.set_xlimits_for_all(None, 0, 45)
graph2.show_yticklabels(0, 0)
graph2.show_xticklabels_for_all()
graph2.set_xticklabels_position(0, 1, 'right')
graph2.set_xlabel(r'Shower zenith angle [\si{\degree}]')
graph2.set_ylabel('Count')
artist.utils.save_graph(graph2, suffix='theta', dirname='plots')
def plot_fav_uncertainty_single_vs_single(data):
cluster = [501, 503, 506]
cluster_str = [str(u) for u in cluster]
width = r'.35\linewidth'
graph = artist.MultiPlot(3, 3, width=width, height=width)
figure()
for i in range(len(cluster)):
for j in range(len(cluster)):
station1 = cluster[i]
station2 = cluster[j]
theta_station1, phi_station1, theta_station2, phi_station2 = \
calc_direction_single_vs_single(data, station1, station2)
bins = linspace(0, deg2rad(45), 11)
x, y, y2 = [], [], []
for low, high in zip(bins[:-1], bins[1:]):
sel_phi_c = phi_station2.compress((low <= theta_station1)
& (theta_station1 < high))
sel_phi_s = phi_station1.compress((low <= theta_station1)
& (theta_station1 < high))
sel_theta_c = theta_station2.compress((low <= theta_station1) &
(theta_station1 < high))
sel_theta_s = theta_station1.compress((low <= theta_station1) &
(theta_station1 < high))
dphi = sel_phi_s - sel_phi_c
dtheta = sel_theta_s - sel_theta_c
# make sure phi, theta are between -pi and pi
dphi = (dphi + pi) % (2 * pi) - pi
dtheta = (dtheta + pi) % (2 * pi) - pi
print rad2deg((low + high) / 2), len(dphi), len(dtheta)
x.append((low + high) / 2)
#y.append(std(dphi))
#y2.append(std(dtheta))
y.append(
(scoreatpercentile(dphi, 83) - scoreatpercentile(dphi, 17))
/ 2)
y2.append((scoreatpercentile(dtheta, 83) -
scoreatpercentile(dtheta, 17)) / 2)
ex = linspace(0, deg2rad(45), 50)
ephi, etheta = [], []
for theta in ex:
ephi.append(calc_phi_error_for_station_station(theta, i, j))
etheta.append(calc_theta_error_for_station_station(
theta, i, j))
subplot(3, 3, j * 3 + i + 1)
if i > j:
plot(rad2deg(x), rad2deg(y), 'o')
plot(rad2deg(ex), rad2deg(ephi))
ylim(0, 100)
graph.plot(j, i, rad2deg(x), rad2deg(y), linestyle=None)
graph.plot(j, i, rad2deg(ex), rad2deg(ephi), mark=None)
elif i < j:
plot(rad2deg(x), rad2deg(y2), 'o')
plot(rad2deg(ex), rad2deg(etheta))
ylim(0, 15)
graph.plot(j, i, rad2deg(x), rad2deg(y2), linestyle=None)
graph.plot(j, i, rad2deg(ex), rad2deg(etheta), mark=None)
xlim(0, 45)
if j == 2:
xlabel(station1)
if i == 0:
ylabel(station2)
locator_params(tight=True, nbins=4)
utils.saveplot()
graph.set_empty_for_all([(0, 0), (1, 1), (2, 2)])
graph.set_ylimits_for_all([(0, 1), (0, 2), (1, 2)], 0, 100)
graph.set_ylimits_for_all([(1, 0), (2, 0), (2, 1)], 0, 15)
graph.set_xlimits_for_all(None, 0, 45)
graph.show_xticklabels_for_all([(2, 0), (2, 1), (0, 2)])
graph.show_yticklabels_for_all([(0, 2), (1, 2), (1, 0), (2, 0)])
graph.set_yticks(1, 0, [5, 10, 15])
graph.set_yticks(0, 2, range(20, 101, 20))
for i, station in enumerate(cluster):
graph.set_label(i, i, station, 'center')
graph.set_xlabel(r'Shower zenith angle [\si{\degree}]')
graph.set_ylabel(r'Angle reconstruction uncertainty [\si{\degree}]')
graph.set_label(0, 1, r'$\phi$')
graph.set_label(0, 2, r'$\phi$')
graph.set_label(1, 2, r'$\phi$')
graph.set_label(1, 0, r'$\theta$', 'upper left')
graph.set_label(2, 0, r'$\theta$', 'upper left')
graph.set_label(2, 1, r'$\theta$', 'upper left')
artist.utils.save_graph(graph, dirname='plots')
def plot_fav_uncertainty_single_vs_cluster(data):
cluster = [501, 503, 506]
cluster_str = [str(u) for u in cluster]
cluster_ids = [0, 2, 5]
width = r'.35\linewidth'
graph = artist.MultiPlot(2, 3, width=width, height=width)
figure()
for n, station in enumerate(cluster, 1):
theta_station, phi_station, theta_cluster, phi_cluster = \
calc_direction_single_vs_cluster(data, station, cluster)
bins = linspace(0, deg2rad(45), 11)
x, y, y2 = [], [], []
for low, high in zip(bins[:-1], bins[1:]):
sel_phi_c = phi_cluster.compress((low <= theta_station)
& (theta_station < high))
sel_phi_s = phi_station.compress((low <= theta_station)
& (theta_station < high))
sel_theta_c = theta_cluster.compress((low <= theta_station)
& (theta_station < high))
sel_theta_s = theta_station.compress((low <= theta_station)
& (theta_station < high))
dphi = sel_phi_s - sel_phi_c
dtheta = sel_theta_s - sel_theta_c
# make sure phi, theta are between -pi and pi
dphi = (dphi + pi) % (2 * pi) - pi
dtheta = (dtheta + pi) % (2 * pi) - pi
print rad2deg((low + high) / 2), len(dphi), len(dtheta)
x.append((low + high) / 2)
#y.append(std(dphi))
#y2.append(std(dtheta))
y.append(
(scoreatpercentile(dphi, 83) - scoreatpercentile(dphi, 17)) /
2)
y2.append(
(scoreatpercentile(dtheta, 83) - scoreatpercentile(dtheta, 17))
/ 2)
ex = linspace(0, deg2rad(45), 50)
ephi, etheta = [], []
for theta in ex:
ephi.append(
calc_phi_error_for_station_cluster(theta, n, cluster_ids))
etheta.append(
calc_theta_error_for_station_cluster(theta, n, cluster_ids))
subplot(2, 3, n)
plot(rad2deg(x), rad2deg(y), 'o')
plot(rad2deg(ex), rad2deg(ephi))
xlabel(r"$\theta_{%d}$ [deg]" % station)
if n == 1:
ylabel(r"$\phi$ uncertainty [deg]")
ylim(0, 100)
locator_params(tight=True, nbins=4)
graph.plot(0, n - 1, rad2deg(x), rad2deg(y), linestyle=None)
graph.plot(0, n - 1, rad2deg(ex), rad2deg(ephi), mark=None)
graph.set_label(0, n - 1, r'$\phi$, %d' % station)
subplot(2, 3, n + 3)
plot(rad2deg(x), rad2deg(y2), 'o')
plot(rad2deg(ex), rad2deg(etheta))
xlabel(r"$\theta_{%d}$ [deg]" % station)
if n == 1:
ylabel(r"$\theta$ uncertainty [deg]")
#ylabel(r"$\theta_{\{%s\}}$" % ','.join(cluster_str))
ylim(0, 15)
locator_params(tight=True, nbins=4)
graph.plot(1, n - 1, rad2deg(x), rad2deg(y2), linestyle=None)
graph.plot(1, n - 1, rad2deg(ex), rad2deg(etheta), mark=None)
graph.set_label(1, n - 1, r'$\theta$, %d' % station)
subplots_adjust(wspace=.3, hspace=.3)
utils.saveplot()
graph.set_xlimits_for_all(None, 0, 45)
graph.set_ylimits_for_all([(0, 0), (0, 1), (0, 2)], 0, 100)
graph.set_ylimits_for_all([(1, 0), (1, 1), (1, 2)], 0, 15)
graph.show_xticklabels_for_all([(1, 0), (0, 1), (1, 2)])
graph.show_yticklabels_for_all([(0, 2), (1, 0)])
graph.set_xlabel(r"Shower zenith angle [\si{\degree}]")
graph.set_ylabel(r"Angle reconstruction uncertainty [\si{\degree}]")
artist.utils.save_graph(graph, dirname='plots')
def plot_fav_single_vs_single(data):
cluster = [501, 503, 506]
cluster_str = [str(u) for u in cluster]
width = r'.35\linewidth'
graph = artist.MultiPlot(3, 3, width=width, height=width)
figure()
for i in range(len(cluster)):
for j in range(len(cluster)):
station1 = cluster[i]
station2 = cluster[j]
theta_station1, phi_station1, theta_station2, phi_station2 = \
calc_direction_single_vs_single(data, station1, station2)
subplot(3, 3, j * 3 + i + 1)
if i > j:
plot(rad2deg(phi_station1), rad2deg(phi_station2), ',')
xlim(-180, 180)
ylim(-180, 180)
bins = linspace(-180, 180, 37)
H, x_edges, y_edges = histogram2d(rad2deg(phi_station1),
rad2deg(phi_station2),
bins=bins)
graph.histogram2d(j, i, H, x_edges, y_edges, 'reverse_bw')
graph.set_label(j,
i,
r'$\phi$',
'upper left',
style='fill=white')
elif i < j:
plot(rad2deg(theta_station1), rad2deg(theta_station2), ',')
xlim(0, 45)
ylim(0, 45)
bins = linspace(0, 45, 46)
H, x_edges, y_edges = histogram2d(rad2deg(theta_station1),
rad2deg(theta_station2),
bins=bins)
graph.histogram2d(j, i, H, x_edges, y_edges, 'reverse_bw')
graph.set_label(j,
i,
r'$\theta$',
'upper left',
style='fill=white')
if j == 2:
xlabel(station1)
if i == 0:
ylabel(station2)
locator_params(tight=True, nbins=4)
#subplot(3, 3, n + 3)
#plot(rad2deg(theta_station1), rad2deg(theta_station2), ',')
#xlabel(r"$\theta_{%d}$" % station1)
#ylabel(r"$\theta_{\{%s\}}$" % ','.join(station2_str))
#xlim(0, 45)
#ylim(0, 45)
#locator_params(tight=True, nbins=4)
utils.saveplot()
graph.set_empty_for_all([(0, 0), (1, 1), (2, 2)])
graph.show_xticklabels_for_all([(0, 1), (0, 2), (2, 0), (2, 1)])
graph.set_xticks(0, 1, range(-180, 181, 90))
graph.set_xticks(0, 2, range(-90, 181, 90))
graph.show_yticklabels_for_all([(0, 2), (1, 2), (1, 0), (2, 0)])
graph.set_yticks(1, 2, range(-180, 181, 90))
graph.set_yticks(0, 2, range(-90, 181, 90))
graph.set_xlabel(r"Shower angle [\si{\degree}]")
graph.set_ylabel(r"Shower angle [\si{\degree}]")
for i, station in enumerate(cluster):
graph.set_label(i, i, cluster[i], 'center')
artist.utils.save_graph(graph, dirname='plots')
def plot_fav_single_vs_cluster(data):
cluster = [501, 503, 506]
cluster_str = [str(u) for u in cluster]
width = r'.35\linewidth'
graph1 = artist.MultiPlot(1, 3, width=width, height=width)
graph2 = artist.MultiPlot(1, 3, width=width, height=width)
figure()
for n, station in enumerate(cluster, 1):
theta_station, phi_station, theta_cluster, phi_cluster = \
calc_direction_single_vs_cluster(data, station, cluster, 2000)
subplot(2, 3, n)
plot(rad2deg(phi_station), rad2deg(phi_cluster), ',')
xlabel(r"$\phi_{%d}$" % station)
xlim(-180, 180)
ylim(-180, 180)
locator_params(tight=True, nbins=4)
if n == 1:
ylabel(r"$\phi_{\{%s\}}$" % ','.join(cluster_str))
bins = linspace(-180, 180, 37)
H, x_edges, y_edges = histogram2d(rad2deg(phi_station),
rad2deg(phi_cluster),
bins=bins)
graph1.histogram2d(0, n - 1, H, x_edges, y_edges, 'reverse_bw')
graph1.set_label(0, n - 1, station, 'upper left', style='fill=white')
subplot(2, 3, n + 3)
plot(rad2deg(theta_station), rad2deg(theta_cluster), ',')
xlabel(r"$\theta_{%d}$" % station)
xlim(0, 45)
ylim(0, 45)
locator_params(tight=True, nbins=4)
if n == 1:
ylabel(r"$\theta_{\{%s\}}$" % ','.join(cluster_str))
bins = linspace(0, 45, 46)
H, x_edges, y_edges = histogram2d(rad2deg(theta_station),
rad2deg(theta_cluster),
bins=bins)
graph2.histogram2d(0, n - 1, H, x_edges, y_edges, 'reverse_bw')
graph2.set_label(0, n - 1, station, 'upper left', style='fill=white')
subplots_adjust(wspace=.4, hspace=.4)
utils.saveplot()
graph1.set_xticks_for_all(None, range(-180, 181, 90))
graph1.set_yticks_for_all(None, range(-180, 181, 90))
graph1.show_xticklabels_for_all(None)
graph1.show_yticklabels(0, 0)
graph1.set_xticklabels_position(0, 1, 'right')
graph1.set_xlabel(r"Azimuthal angle (station) [\si{\degree}]")
graph1.set_ylabel(r"Azimuthal angle (cluster) [\si{\degree}]")
graph2.show_xticklabels_for_all(None)
graph2.show_yticklabels(0, 0)
graph2.set_xticklabels_position(0, 1, 'right')
graph2.set_xlabel(r"Zenith angle (station) [\si{\degree}]")
graph2.set_ylabel(r"Zenith angle (cluster) [\si{\degree}]")
artist.utils.save_graph(graph1, suffix='phi', dirname='plots')
artist.utils.save_graph(graph2, suffix='theta', dirname='plots')