def plot_comparison(stats, field_name):
plot = MultiPlot(len(STATIONS),
len(STATIONS),
width=r'.06\textwidth',
height=r'.06\textwidth')
bins = arange(0, 1.2, .03)
for i, ref_station in enumerate(STATIONS):
ref_stat = stats[ref_station][field_name][0]
ref_filter = ref_stat > 0
for j, station in enumerate(STATIONS):
if i == j:
plot.set_empty(i, j)
plot.set_label(r'%d' % station, location='center')
continue
splot = plot.get_subplot_at(i, j)
stat = stats[station][field_name][0]
tmp_stat = stat.compress(ref_filter & (stat > 0))
tmp_ref_stat = ref_stat.compress(ref_filter & (stat > 0))
counts, xbin, ybin = histogram2d(tmp_stat, tmp_ref_stat, bins=bins)
splot.histogram2d(counts,
xbin,
ybin,
type='reverse_bw',
bitmap=True)
splot.plot([0, 1.2], [0, 1.2],
mark=None,
linestyle='red, very thin')
# plot.set_xlimits_for_all(None, min=bins[0], max=bins[-1])
# plot.set_ylimits_for_all(None, min=bins[0], max=bins[-1])
# plot.subplots[-1].set_xtick_labels(YEARS_LABELS)
# plot.subplots[-1].show_xticklabels()
#
# plot.show_yticklabels_for_all(None)
# for row in range(0, len(plot.subplots), 2):
# plot.set_yticklabels_position(row, 0, 'left')
# for row in range(1, len(plot.subplots), 2):
# plot.set_yticklabels_position(row, 0, 'right')
# plot.set_ylimits_for_all(None, -1e-4)
if field_name == 'event_rate':
label = r'Event rate [\si{\hertz}]'
elif field_name == 'mpv':
label = r'MPV [ADC.ns]'
else:
label = (r'Fraction of bad %s data [\si{\percent}]' %
field_name.replace('_', ' '))
plot.set_ylabel(label)
plot.set_xlabel(label)
if field_name in ['event_rate', 'mpv']:
plot.save_as_pdf('plots/compare_%s' % field_name)
else:
plot.save_as_pdf('plots/compare_bad_fraction_%s' % field_name)
def plot_coinc_window(windows,
counts,
group_name='',
n_events=0,
n_stations=0,
date=datetime.date.today()):
counts = numpy.array(counts)
plot = MultiPlot(2, 1)
splot = plot.get_subplot_at(0, 0)
splot.set_axis_options(r'ymode=log, xmode=log')
splot.scatter(windows, counts)
plot_background_v_window(splot, windows, n_stations)
plot_chosen_coincidence_window(splot)
splot = plot.get_subplot_at(1, 0)
# dy
# splot.scatter(windows[:-1], counts[1:] - counts[:-1])
# dy/dx
# splot.scatter(windows[:-1],
# (counts[1:] - counts[:-1]) /
# (windows[1:] - windows[:-1]))
# dy/dlogx
# splot.scatter(windows[:-1],
# (counts[1:] - counts[:-1]) /
# (numpy.log10(windows[1:]) - numpy.log10(windows[:-1])))
# dlogy/dlogx
splot.scatter(windows[:-1],
(numpy.log10(counts[1:]) - numpy.log10(counts[:-1])) /
(numpy.log10(windows[1:]) - numpy.log10(windows[:-1])))
splot.set_axis_options(r'height=0.2\textwidth, xmode=log, ymode=normal')
# splot.set_axis_options(r'height=0.2\textwidth, xmode=log, ymode=log')
text = ('%s\nDate: %s\nTotal n events: %d' %
(group_name, date.isoformat(), n_events))
plot.set_label(0, 0, text, 'upper left')
plot.set_xlimits_for_all(min=0.5, max=1e14)
plot.set_ylimits(0, 0, min=1, max=1e8)
plot.set_ylabel('Found coincidences')
plot.set_xlabel(r'Coincidence window [\si{\ns}]')
plot.show_xticklabels(1, 0)
plot.show_yticklabels_for_all(None)
plot.set_yticklabels_position(1, 0, 'right')
plot.save_as_pdf('plots/coincidences_%s' % group_name)
def boxplot_core_distances_for_mips(table):
THETA = deg2rad(22.5)
DTHETA = deg2rad(1.)
DN = .5
ENERGY = 1e15
DENERGY = 2e14
MAX_R = 80
r25_list = []
r50_list = []
r75_list = []
x = []
for N in range(1, 5):
sel = table.read_where('(abs(min_n134 - N) <= DN) & (abs(reference_theta - THETA) <= DTHETA) & (abs(k_energy - ENERGY) <= DENERGY) & (r <= MAX_R)')
r = sel[:]['r']
r25_list.append(scoreatpercentile(r, 25))
r50_list.append(scoreatpercentile(r, 50))
r75_list.append(scoreatpercentile(r, 75))
x.append(N)
print(len(r))
sx, sr25, sr50, sr75 = loadtxt(os.path.join(DATADIR, 'DIR-save_for_kascade_boxplot_core_distances_for_mips.txt'))
fig = figure()
ax1 = subplot(131)
fill_between(sx, sr25, sr75, color='0.75')
plot(sx, sr50, 'o-', color='black', markerfacecolor='none')
ax2 = subplot(132, sharex=ax1, sharey=ax1)
fill_between(x, r25_list, r75_list, color='0.75')
plot(x, r50_list, 'o-', color='black')
ax3 = subplot(133, sharex=ax1, sharey=ax1)
plot(x, sr50, 'o-', color='black', markerfacecolor='none')
plot(x, r50_list, 'o-', color='black')
ax2.xaxis.set_label_text("Minimum number of particles $\pm %.1f$" % DN)
ax1.yaxis.set_label_text("Core distance [m]")
fig.suptitle(r"$\theta = 22.5^\circ \pm %d^\circ, \quad %.1f \leq \log(E) \leq %.1f$" % (rad2deg(DTHETA), log10(ENERGY - DENERGY), log10(ENERGY + DENERGY)))
ax1.xaxis.set_ticks([1, 2, 3, 4])
fig.subplots_adjust(left=.1, right=.95)
ylim(ymin=0)
xlim(.8, 4.2)
fig.set_size_inches(5, 2.67)
utils.saveplot()
graph = MultiPlot(1, 3, width=r'.3\linewidth', height=r'.4\linewidth')
graph.shade_region(0, 0, sx, sr25, sr75)
graph.plot(0, 0, sx, sr50, linestyle=None)
graph.plot(0, 2, sx, sr50)
graph.set_label(0, 0, 'simulation')
graph.shade_region(0, 1, x, r25_list, r75_list)
graph.plot(0, 1, x, r50_list, linestyle=None, mark='*')
graph.plot(0, 2, x, r50_list, mark='*')
graph.set_label(0, 1, 'experiment')
graph.set_label(0, 2, 'sim + exp')
graph.set_ylimits(0, 50)
graph.set_xlabel("Minimum number of particles $\pm %.1f$" % DN)
graph.set_ylabel("Core distance [\si{\meter}]")
graph.show_xticklabels_for_all([(0, 0), (0, 1), (0, 2)])
graph.show_yticklabels(0, 0)
artist.utils.save_graph(graph, dirname='plots')
def boxplot_arrival_times(table, N):
THETA = deg2rad(0)
DTHETA = deg2rad(10.)
LOGENERGY = 15
DLOGENERGY = .5
bin_edges = linspace(0, 80, 5)
x = []
t25, t50, t75 = [], [], []
for low, high in zip(bin_edges[:-1], bin_edges[1:]):
query = '(min_n134 >= N) & (low <= r) & (r < high) & (abs(reference_theta - THETA) <= DTHETA) & (abs(log10(k_energy) - LOGENERGY) <= DLOGENERGY)'
sel = table.read_where(query)
t2 = sel[:]['t2']
t1 = sel[:]['t1']
ct1 = t1.compress((t1 > -999) & (t2 > -999))
ct2 = t2.compress((t1 > -999) & (t2 > -999))
print(len(t1), len(t2), len(ct1), len(ct2))
t25.append(scoreatpercentile(abs(ct2 - ct1), 25))
t50.append(scoreatpercentile(abs(ct2 - ct1), 50))
t75.append(scoreatpercentile(abs(ct2 - ct1), 75))
x.append((low + high) / 2)
sx, st25, st50, st75 = loadtxt(os.path.join(DATADIR, 'DIR-boxplot_arrival_times-1.txt'))
fig = figure()
ax1 = subplot(131)
fill_between(sx, st25, st75, color='0.75')
plot(sx, st50, 'o-', color='black', markerfacecolor='none')
ax2 = subplot(132, sharex=ax1, sharey=ax1)
fill_between(x, t25, t75, color='0.75')
plot(x, t50, 'o-', color='black')
ax3 = subplot(133, sharex=ax1, sharey=ax1)
plot(sx, st50, 'o-', color='black', markerfacecolor='none')
plot(x, t50, 'o-', color='black')
ax2.xaxis.set_label_text("Core distance [m]")
ax1.yaxis.set_label_text("Arrival time difference $|t_2 - t_1|$ [ns]")
fig.suptitle(r"$N_{MIP} \geq %d, \quad \theta = 0^\circ \pm %d^\circ, \quad %.1f \leq \log(E) \leq %.1f$" % (N, rad2deg(DTHETA), LOGENERGY - DLOGENERGY, LOGENERGY + DLOGENERGY))
ylim(ymax=15)
xlim(xmax=80)
locator_params(tight=True, nbins=4)
fig.subplots_adjust(left=.1, right=.95)
fig.set_size_inches(5, 2.67)
utils.saveplot(N)
sx = sx.compress(sx < 80)
st25 = st25[:len(sx)]
st50 = st50[:len(sx)]
st75 = st75[:len(sx)]
graph = MultiPlot(1, 3, width=r'.3\linewidth', height=r'.4\linewidth')
graph.shade_region(0, 0, sx, st25, st75)
graph.plot(0, 0, sx, st50, linestyle=None)
graph.plot(0, 2, sx, st50)
graph.set_label(0, 0, 'simulation', 'upper left')
graph.shade_region(0, 1, x, t25, t75)
graph.plot(0, 1, x, t50, linestyle=None, mark='*')
graph.plot(0, 2, x, t50, mark='*')
graph.set_label(0, 1, 'experiment', 'upper left')
graph.set_label(0, 2, 'sim + exp', 'upper left')
graph.set_ylimits(0, 15)
graph.set_xlimits(0, 80)
graph.set_xlabel("Core distance [\si{\meter}]")
graph.set_ylabel(r"Arrival time difference $|t_2 - t_1|$ [\si{\nano\second}]")
graph.show_xticklabels_for_all([(0, 0), (0, 1), (0, 2)])
graph.set_xticklabels_position(0, 1, 'right')
graph.show_yticklabels(0, 0)
artist.utils.save_graph(graph, suffix=N, dirname='plots')
def boxplot_core_distances_for_mips(table):
THETA = deg2rad(22.5)
DTHETA = deg2rad(1.)
DN = .5
ENERGY = 1e15
DENERGY = 2e14
MAX_R = 80
r25_list = []
r50_list = []
r75_list = []
x = []
for N in range(1, 5):
sel = table.readWhere(
'(abs(min_n134 - N) <= DN) & (abs(reference_theta - THETA) <= DTHETA) & (abs(k_energy - ENERGY) <= DENERGY) & (r <= MAX_R)'
)
r = sel[:]['r']
r25_list.append(scoreatpercentile(r, 25))
r50_list.append(scoreatpercentile(r, 50))
r75_list.append(scoreatpercentile(r, 75))
x.append(N)
print len(r)
sx, sr25, sr50, sr75 = loadtxt(
os.path.join(
DATADIR,
'DIR-save_for_kascade_boxplot_core_distances_for_mips.txt'))
fig = figure()
ax1 = subplot(131)
fill_between(sx, sr25, sr75, color='0.75')
plot(sx, sr50, 'o-', color='black', markerfacecolor='none')
ax2 = subplot(132, sharex=ax1, sharey=ax1)
fill_between(x, r25_list, r75_list, color='0.75')
plot(x, r50_list, 'o-', color='black')
ax3 = subplot(133, sharex=ax1, sharey=ax1)
plot(x, sr50, 'o-', color='black', markerfacecolor='none')
plot(x, r50_list, 'o-', color='black')
ax2.xaxis.set_label_text("Minimum number of particles $\pm %.1f$" % DN)
ax1.yaxis.set_label_text("Core distance [m]")
fig.suptitle(
r"$\theta = 22.5^\circ \pm %d^\circ, \quad %.1f \leq \log(E) \leq %.1f$"
% (rad2deg(DTHETA), log10(ENERGY - DENERGY), log10(ENERGY + DENERGY)))
ax1.xaxis.set_ticks([1, 2, 3, 4])
fig.subplots_adjust(left=.1, right=.95)
ylim(ymin=0)
xlim(.8, 4.2)
fig.set_size_inches(5, 2.67)
utils.saveplot()
graph = MultiPlot(1, 3, width=r'.3\linewidth', height=r'.4\linewidth')
graph.shade_region(0, 0, sx, sr25, sr75)
graph.plot(0, 0, sx, sr50, linestyle=None)
graph.plot(0, 2, sx, sr50)
graph.set_label(0, 0, 'simulation')
graph.shade_region(0, 1, x, r25_list, r75_list)
graph.plot(0, 1, x, r50_list, linestyle=None, mark='*')
graph.plot(0, 2, x, r50_list, mark='*')
graph.set_label(0, 1, 'experiment')
graph.set_label(0, 2, 'sim + exp')
graph.set_ylimits(0, 50)
graph.set_xlabel("Minimum number of particles $\pm %.1f$" % DN)
graph.set_ylabel("Core distance [\si{\meter}]")
graph.show_xticklabels_for_all([(0, 0), (0, 1), (0, 2)])
graph.show_yticklabels(0, 0)
artist.utils.save_graph(graph, dirname='plots')
def boxplot_arrival_times(table, N):
THETA = deg2rad(0)
DTHETA = deg2rad(10.)
LOGENERGY = 15
DLOGENERGY = .5
bin_edges = linspace(0, 80, 5)
x = []
t25, t50, t75 = [], [], []
for low, high in zip(bin_edges[:-1], bin_edges[1:]):
query = '(min_n134 >= N) & (low <= r) & (r < high) & (abs(reference_theta - THETA) <= DTHETA) & (abs(log10(k_energy) - LOGENERGY) <= DLOGENERGY)'
sel = table.readWhere(query)
t2 = sel[:]['t2']
t1 = sel[:]['t1']
ct1 = t1.compress((t1 > -999) & (t2 > -999))
ct2 = t2.compress((t1 > -999) & (t2 > -999))
print len(t1), len(t2), len(ct1), len(ct2)
t25.append(scoreatpercentile(abs(ct2 - ct1), 25))
t50.append(scoreatpercentile(abs(ct2 - ct1), 50))
t75.append(scoreatpercentile(abs(ct2 - ct1), 75))
x.append((low + high) / 2)
sx, st25, st50, st75 = loadtxt(
os.path.join(DATADIR, 'DIR-boxplot_arrival_times-1.txt'))
fig = figure()
ax1 = subplot(131)
fill_between(sx, st25, st75, color='0.75')
plot(sx, st50, 'o-', color='black', markerfacecolor='none')
ax2 = subplot(132, sharex=ax1, sharey=ax1)
fill_between(x, t25, t75, color='0.75')
plot(x, t50, 'o-', color='black')
ax3 = subplot(133, sharex=ax1, sharey=ax1)
plot(sx, st50, 'o-', color='black', markerfacecolor='none')
plot(x, t50, 'o-', color='black')
ax2.xaxis.set_label_text("Core distance [m]")
ax1.yaxis.set_label_text("Arrival time difference $|t_2 - t_1|$ [ns]")
fig.suptitle(
r"$N_{MIP} \geq %d, \quad \theta = 0^\circ \pm %d^\circ, \quad %.1f \leq \log(E) \leq %.1f$"
% (N, rad2deg(DTHETA), LOGENERGY - DLOGENERGY, LOGENERGY + DLOGENERGY))
ylim(ymax=15)
xlim(xmax=80)
locator_params(tight=True, nbins=4)
fig.subplots_adjust(left=.1, right=.95)
fig.set_size_inches(5, 2.67)
utils.saveplot(N)
sx = sx.compress(sx < 80)
st25 = st25[:len(sx)]
st50 = st50[:len(sx)]
st75 = st75[:len(sx)]
graph = MultiPlot(1, 3, width=r'.3\linewidth', height=r'.4\linewidth')
graph.shade_region(0, 0, sx, st25, st75)
graph.plot(0, 0, sx, st50, linestyle=None)
graph.plot(0, 2, sx, st50)
graph.set_label(0, 0, 'simulation', 'upper left')
graph.shade_region(0, 1, x, t25, t75)
graph.plot(0, 1, x, t50, linestyle=None, mark='*')
graph.plot(0, 2, x, t50, mark='*')
graph.set_label(0, 1, 'experiment', 'upper left')
graph.set_label(0, 2, 'sim + exp', 'upper left')
graph.set_ylimits(0, 15)
graph.set_xlimits(0, 80)
graph.set_xlabel("Core distance [\si{\meter}]")
graph.set_ylabel(
r"Arrival time difference $|t_2 - t_1|$ [\si{\nano\second}]")
graph.show_xticklabels_for_all([(0, 0), (0, 1), (0, 2)])
graph.set_xticklabels_position(0, 1, 'right')
graph.show_yticklabels(0, 0)
artist.utils.save_graph(graph, suffix=N, dirname='plots')