def plot_station_offset_matrix():
n = len(STATIONS)
stations = {
station: Station(station, force_stale=True)
for station in STATIONS
}
for type in ['offset', 'error']:
plot = MultiPlot(n, n, width=r'.08\textwidth', height=r'.08\textwidth')
for i, station in enumerate(STATIONS):
for j, ref_station in enumerate(STATIONS):
splot = plot.get_subplot_at(i, j)
if i == n:
splot.show_xticklabels()
if station == ref_station:
splot.set_empty()
splot.set_label(r'%d' % station, location='center')
continue
offsets = stations[station].station_timing_offsets(ref_station)
bins = list(offsets['timestamp'])
bins += [bins[-1] + 86400]
splot.histogram(offsets[type], bins, linestyle='very thin')
splot.set_axis_options('line join=round')
plot_cuts_vertically(splot, stations, station, ref_station)
# Even/row rows/columns
for row in range(0, n, 2):
plot.set_yticklabels_position(row, n - 1, 'right')
plot.set_xticklabels_position(n - 1, row, 'bottom')
plot.show_yticklabels(row, n - 1)
#plot.show_xticklabels(n - 1, row)
for row in range(1, n, 2):
plot.set_yticklabels_position(row, 0, 'left')
plot.set_xticklabels_position(0, row, 'top')
plot.show_yticklabels(row, 0)
#plot.show_xticklabels(0, row)
if type == 'offset':
plot.set_ylimits_for_all(None, min=-70, max=70)
else:
plot.set_ylimits_for_all(None, min=0, max=10)
plot.set_xlimits_for_all(None,
min=datetime_to_gps(date(2011, 1, 1)),
max=datetime_to_gps(date.today()))
plot.set_xticks_for_all(None, YEARS_TICKS)
# plot.set_xtick_labels_for_all(YEARS_LABELS)
plot.set_xlabel(r'Date')
plot.set_ylabel(r'Station offset [\si{\ns}]')
plot.save_as_pdf('station_offsets_%s' % type)
def plot_afstelling_pmt():
"""Plot voor afstellen spanning"""
multiplot = MultiPlot(1, 3, width=r'0.4\linewidth')
x = pylab.linspace(1e-10, 11, 200)
signal = pylab.zeros(x.shape)
for N in range(1, 15):
scale = 100. / N ** 3
pdf = 80 * scale * pylab.normpdf(x, N, pylab.sqrt(N) * 0.35)
signal += pdf
gammas = 1e2 * x ** -3
signal += gammas
p = multiplot.get_subplot_at(0, 0)
v = x * 35
p.plot(v, pylab.where(v >= 30, signal, 1), mark=None)
p.draw_vertical_line(200, linestyle='gray')
p.set_label(r"$V_\mathrm{PMT}$ te laag")
p = multiplot.get_subplot_at(0, 1)
v = x * 200
p.plot(v, pylab.where(v >= 30, signal, 1), mark=None)
p.draw_vertical_line(200, linestyle='gray')
p.set_label(r"$V_\mathrm{PMT}$ correct")
p = multiplot.get_subplot_at(0, 2)
v = x * 400
p.plot(v, pylab.where(v >= 30, signal, 1), mark=None)
p.draw_vertical_line(200, linestyle='gray')
p.set_label(r"$V_\mathrm{PMT}$ te hoog")
multiplot.set_xlabel(r"Pulseheight [\si{\milli\volt}]")
multiplot.set_ylabel("Counts")
multiplot.set_xlimits_for_all(min=0, max=1000)
multiplot.set_ylimits_for_all(min=1)
multiplot.show_xticklabels_for_all()
multiplot.set_xticklabels_position(0, 1, 'top')
multiplot.set_yticks_for_all(ticks=None)
multiplot.save('afstelling_pmt')
def multiplot():
# data series
x = [0, 40, 60, 69, 80, 90, 100]
y = [0, 0, 0.5, 2.96, 2, 1, .5]
multiplot = MultiPlot(1, 2)
# make graph
graph1 = multiplot.get_subplot_at(0, 0)
graph2 = multiplot.get_subplot_at(0, 1)
# make Plot
graph1.plot(x, y, mark=None, linestyle='smooth,very thick')
graph2.plot(x, y, mark=None, linestyle='smooth,very thick')
multiplot.show_xticklabels_for_all()
multiplot.show_yticklabels(0, 0)
multiplot.set_xticklabels_position(0, 1, 'top')
multiplot.set_yticks_for_all(ticks=range(6))
graph1.set_xlimits(0, 100)
graph2.set_xlimits(60, 80)
multiplot.set_ylimits_for_all(min=0, max=5)
# set scale: 1cm equals 10 or 5 units along the x-axis
graph1.set_xscale(cm=10)
graph2.set_xscale(cm=5)
# set scale: 1cm equals 1 unit along the y-axis
graph1.set_yscale(cm=1)
graph2.set_yscale(cm=1)
# set graph paper
graph1.use_graph_paper()
graph2.use_graph_paper()
# set labels
multiplot.set_xlabel(r"$f [\si{\mega\hertz}]$")
multiplot.set_ylabel("signal strength")
# save graph to file
multiplot.save('mm_paper_multiplot')
# Plot voor afstellen spanning
multiplot = MultiPlot(1, 3, width=r'.4\linewidth')
p = multiplot.get_subplot_at(0, 1)
V = x * 200
p.plot(V, where(V >= 30, signal, 1), mark=None)
p.draw_vertical_line(200, linestyle='gray')
p.set_label(r"$V_\mathrm{PMT}$ correct")
p = multiplot.get_subplot_at(0, 2)
V = x * 400
p.plot(V, where(V >= 30, signal, 1), mark=None)
p.draw_vertical_line(200, linestyle='gray')
p.set_label(r"$V_\mathrm{PMT}$ te hoog")
p = multiplot.get_subplot_at(0, 0)
V = x * 35
p.plot(V, where(V >= 30, signal, 1), mark=None)
p.draw_vertical_line(200, linestyle='gray')
p.set_label(r"$V_\mathrm{PMT}$ te laag")
multiplot.set_xlabel(r"Pulseheight [\si{\milli\volt}]")
multiplot.set_ylabel("Counts")
multiplot.set_xlimits_for_all(min=0, max=1000)
multiplot.set_ylimits_for_all(min=1)
multiplot.show_xticklabels_for_all()
multiplot.set_xticklabels_position(0, 1, 'top')
multiplot.set_yticks_for_all(ticks=None)
multiplot.save('afstelling_pmt')
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_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')
