B.2 Source Code
Datei: /home/struppi/Dropbox/dropbox…n/Simulation/3d-random-slab.py Seite 1 von 2
#!/usr/bin/env python
#
# Simple 3d random walk through a slab
#
# for time-resolved profile at the exit
# surface
r_norm = (x_neu**2 + y_neu**2 + z_neu**2)**0.5 x_add = (l * x_neu)/r_norm
y_add = (l * y_neu)/r_norm z_add = (l * z_neu)/r_norm p[0] = p[0] + x_add p[1] = p[1] + y_add p[2] = p[2] + z_add p[3] = p[3] + 1 return p
nmbexitparticles = 2000000 # simulates 2'000'000 exiting particles modnmbparticles = 500
# check if more than m steps have been used
# if particlesave[3] > 50:
# exitcondition = 1 if particlesave[2] < 0:
exitcondition = 1 elif particlesave[2] > slabsize:
r = (particlesave[0]**2 + particlesave[1]**2)**0.5
# print "Particle exited on the target surface at: "
# print " x = ", particlesave[0]
if numberofparticles % modnmbparticles == 0:
print numberofparticles, numberofruns
particlelist.append([particlesave[3], particlesave[0], particlesave[1], r]) numberofruns += 1
#if numberofruns % 10000 == 0:
# print numberofruns
listoflimits =[ [0,50], [50,100], [100, 150], [150, 200], [200, 250], [250, 300], [300, 350], [350, 400], [400, 450], [450, 500], [500, 550], [550, 600], [600, 650], [650, 700] ]
Datei: /home/struppi/Dropbox/dropbox…n/Simulation/3d-random-slab.py Seite 2 von 2
if (tmp[0] >= lowertlimit and tmp[0] <= hightlimit):
rlist.append(tmp[3])
title("xy-Graph l = " +str(slabsize) + " for time slize " + str(lowertlimit) + " < t < " + str (hightlimit))
title("Histogram l = " +str(slabsize) + " for time slize " + str(lowertlimit) + " < t < " + str (hightlimit))
savefig("3d-"+str(len(particlelist))+"rhist-"+str(lowertlimit)+"-"+str(hightlimit)+"-"+".png", format="png")
close()
# Plot y-cut
datahist, bins = histogram(ycutlist, range=(-60,60), bins=120)
fitfunc = lambda parm, x: parm[0]*1/(parm[1]*math.sqrt(2*math.pi))*exp(-0.5*x**2/parm[1]**2) errofunc = lambda parm, x, y: fitfunc(parm, x) - y
parm0 = [100, 5]
parm1, success = optimize.leastsq(errofunc, parm0[:], args=(bins[0:len(datahist)], datahist [:]))
figure()
# hist(ycutlist, arange(-60,60,1), 'gr')
plot(bins[0:len(datahist)], datahist, 'b^', bins[0:len(datahist)], fitfunc(parm1, bins[0:len (datahist)]), 'b-')
xlim(-60, 60) ylabel('count') xlabel('x')
title("y-cut l = " +str(slabsize) + " Gauss: sigma = " + str(parm1[1]) + " for time slize " + str(lowertlimit) + " < t < " + str(hightlimit))
savefig("3d-"+str(len(particlelist))+"ycut-"+str(lowertlimit)+"-"+str(hightlimit)+"-"+".png", format="png")
close()
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