def findrecorded(self, simulatedevent, dangle): sigcount, bkgcount, sigerror, bkgerror , reconcount, reconerror = cs.run(self, simulatedevent) if simulatedevent.smear: DCphotons = int(random.gauss(sigcount, sigerror*sigcount)) reconphotons = random.gauss(reconcount, reconerror*reconcount) fullphotons = int(random.gauss(bkgcount, bkgerror*bkgcount)) dangle = random.gauss(dangle, 0.01) else: DCphotons = sigcount fullphotons = bkgcount reconphotons = reconcount dangle = dangle self.DCphotons=DCphotons self.reconphotons = reconphotons self.fullphotons = fullphotons self.dangle = dangle self.DCfracerror = sigerror self.fullfracerror = bkgerror self.reconfracerror = reconerror self.DCtrigger = self.checktrigger(self.DCphotons) if simulatedevent.smear and not self.DCtrigger: self.DCphotons = 0 altDC = ld.altcount(self.coredistance, simulatedevent.Z) self.altDCphotons = altDC self.fulltrigger = self.checktrigger(self.fullphotons) if simulatedevent.smear and not self.fulltrigger: self.fullphotons = 0
def run(numberofhours):
ax1 = plt.subplot(211)
category = "lst"
tradius = tr.run(category)
raweff = 0.06
selectionefficiency = 0.50
flux = 2.0 * (10**-4)
solidangle = math.radians(5)
ranges = []
lowerlim = 15
midlim = 50
upperlim = 200
lowerbincount = 20
upperbincount = 10
lowerrange = [lowerlim, midlim, lowerbincount]
ranges.append(lowerrange)
upperrange = [midlim, upperlim, upperbincount]
ranges.append(upperrange)
fullcount = []
edges = []
for i in range (0, 10):
fullcount.append([])
for i in range(0, 2):
entry = ranges[i]
lower = entry[0]
upper = entry[1]
bins = entry[2]
edge = np.linspace(lower, upper, bins)
edges.extend(edge)
telescopegap = (edge[1:] + edge[:-1])*0.5
print edge
print telescopegap
simlim = (upper + 150)
area = 4*(simlim**2)
detectedflux = flux*area*solidangle*selectionefficiency
rateperhour = detectedflux * 60 * 60
n = int(rateperhour*float(numberofhours))
print time.asctime(time.localtime()),"Cosmic Ray Iron Flux is", flux, "Simulated Area is", area, "Field of View is", solidangle, "Detected Flux is", detectedflux
print time.asctime(time.localtime()),"Rate per hour", rateperhour, "Simulated Hours", numberofhours, "Simulated Events", n
for gap in telescopegap:
specificcount = []
coordinates = []
points = np.linspace(-gap, gap, 3)
for x in points:
for y in points:
coordinates.append([x,y])
for i in range (0, n):
#Randomly generates a target centre of -150<x<150m and -150<y<150m
rayxpos = (random.random()*2 * simlim)-simlim
rayypos = (random.random()*2 * simlim)-simlim
#Generates a random probability, and converts this to an Epn value following an E^-1.7 power series
R = random.random()*0.0178
Epn = ((1.7*R/321)+(3571**-1.7))**(-1/1.7)
#Generates a fixed charge number of Z=26
Z= 26
#Randomly generates a height probability, and converts this probability to a set height
hprob = random.random()
height = atm.runheight(hprob, text=False)
#Chooses a zenith angle +- 22 degrees
zenith = random.random()*44
phi = math.radians(68+zenith)
#Randomly choose an angle NESW
epsilon = math.pi*random.random()*2
#Calculate resultant surface radius and angular width of beam
radius, theta = cr.run(Epn, height, math.sin(phi), text=False)
frac = atm.runabsorption(height)
eff = raweff*frac/math.sin(phi)
j=0
if radius > 0:
for [xpos, ypos] in coordinates:
r, dangle = ce.run(radius, theta, phi, epsilon, xpos, ypos, rayxpos, rayypos)
sigcount, bkgcount= cs.run(tradius, r, rayxpos, rayypos, xpos, ypos, Epn, Z, eff)
count = sigcount + bkgcount
recorded = random.gauss(count, math.sqrt(count))
thresholdfrac = ld.trigger()
threshold = float(bkgcount)*thresholdfrac
if float(sigcount) > float(threshold):
j+=1
if j > 0:
fullcount[j].append(gap)
plotcount = []
labels = []
edges.remove(midlim)
print edges
for i in range (0, 10):
if len(fullcount[i]) > int(0):
plotcount.append(fullcount[i])
label = str(i)
labels.append(label)
n, bins, _ = ax1.hist(plotcount, label=labels, bins=edges, stacked=True)
print n
print bins
plt.legend(loc=2)
plt.xlabel('Grid width (m)', fontsize=20, labelpad=0)
plt.ylabel('Count', fontsize=20, labelpad=0)
ax2 = plt.subplot(212)
f = 0
for label in labels:
if float(label) < float(4):
fourlim = f
if float(label) < float(5):
fivelim = f
if float(label) < float(6):
sixlim = f
f += 1
lines =[]
for i in range (0,len(n)):
if i == fourlim:
subfourline = n[i]
if i == fivelim:
subfiveline = n[i]
if i == sixlim:
subsixline = n[i]
if i == (len(n)-1):
if i > fourlim:
fourline = n[i] - subfourline
lines.append(fourline)
if i > fivelim:
fiveline = n[i] - subfiveline
lines.append(fiveline)
if i > sixlim:
sixline = n[i] - subsixline
lines.append(sixline)
linelabels = ["Detections > 3", "Detections > 4", "Detections > 5"]
mid = (bins[1:] + bins[:-1])*0.5
#~ print mid
for k in range (0, len(lines)):
line = lines[k]
label = linelabels[k]
plt.plot(mid, line, label=label)
plt.legend()
plt.xlabel('Grid width (m)', fontsize=20, labelpad=0)
plt.ylabel('Count', fontsize=20, labelpad=0)
plt.yscale('log')
ax1.tick_params(labelsize=20)
ax2.tick_params(labelsize=20)
title = "Telescope Observations for " +str(numberofhours) + " hours"
plt.suptitle(title, fontsize=20)
figure = plt.gcf() # get current figure
figure.set_size_inches(20, 15)
plt.savefig('/d6/rstein/Hamburg-Cosmic-Rays/positioning/graphs/stats/optimiselayout.pdf')
plt.savefig('/d6/rstein/Hamburg-Cosmic-Rays/report/graphs/logenergyradius.png')
def run(layout, rayxpos, rayypos, epsilon, rayradius, Epn, Z, height, phi,
theta, mincount, eff):
j = 1
entry = []
entrytype = ""
if rayradius > 0:
with open(
"/nfs/astrop/d6/rstein/Hamburg-Cosmic-Rays/positioning/orientations/"
+ layout + ".csv", 'rb') as csvfile:
reader = csv.reader(csvfile, delimiter=',', quotechar='|')
for row in reader:
Trigger = False
category = row[0]
xpos = float(row[1])
ypos = float(row[2])
tradius = tr.run(category)
r, dangle = ce.run(rayradius, theta, phi, epsilon, xpos, ypos,
rayxpos, rayypos)
sigcount, bkgcount, sigerror, bkgerror = cs.run(
tradius, r, rayxpos, rayypos, xpos, ypos, Epn, Z, eff)
recorded = int(random.gauss(sigcount, sigerror * sigcount))
bkgrecorded = int(random.gauss(bkgcount, bkgerror * bkgcount))
recordeddangle = random.gauss(dangle, 0.01)
if sigcount > 0:
distance = math.sqrt(((rayxpos - xpos)**2) +
((rayypos - ypos)**2))
frac = distance / r
altitude = frac * ((math.pi / 2) - theta)
recordedaltitude = random.gauss(altitude, 0.01)
else:
recordedaltitude = "None"
threshold = ld.trigger()
if float(recorded) > float(threshold):
j += 1
Trigger = True
else:
recorded = 0
if float(bkgrecorded) < float(threshold):
bkgrecorded = 0
#~ print "Signal", sigcount,"Recorded Signal", recorded, "Background", bkgcount,"Recorded Background", bkgrecorded, "multiplicity", j-1
entry.append([
int(metThreshold + 1), category, xpos, ypos, recorded,
bkgrecorded, rayxpos, rayypos, Epn, Z, height, phi,
epsilon, Trigger, recordeddangle, recordedaltitude
])
if float(j) > float(mincount):
entrytype = "metThreshold"
else:
entrytype = "belowThreshold"
else:
entrytype = "nonDC"
return entry, entrytype