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trace_px_py.py
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trace_px_py.py
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import sdf
import matplotlib
matplotlib.use('agg')
import matplotlib.pyplot as plt
import numpy as np
from numpy import ma
from matplotlib import colors, ticker, cm
from matplotlib.mlab import bivariate_normal
from optparse import OptionParser
import os
#%matplotlib inline
#from colour import Color
######## Constant defined here ########
pi = 3.1415926535897932384626
q0 = 1.602176565e-19 # C
m0 = 9.10938291e-31 # kg
v0 = 2.99792458e8 # m/s^2
kb = 1.3806488e-23 # J/K
mu0 = 4.0e-7*pi # N/A^2
epsilon0 = 8.8541878176203899e-12 # F/m
h_planck = 6.62606957e-34 # J s
wavelength= 1.0e-6
frequency = v0*2*pi/wavelength
exunit = m0*v0*frequency/q0
bxunit = m0*frequency/q0
denunit = frequency**2*epsilon0*m0/q0**2
#from colour import Color
print 'electric field unit: '+str(exunit)
print 'magnetic field unit: '+str(bxunit)
print 'density unit nc: '+str(denunit)
font = {'family' : 'monospace',
'color' : 'black',
'weight' : 'normal',
'size' : 32,
}
######### Parameter you should set ###########
start = 0 # start time
stop = 498 # end time
step = 1 # the interval or step
a0=10
Data = 'Data/'
name = 'electron scattering plot'
total_step = 499
px_2d = np.zeros([3,total_step])
py_2d = np.zeros([3,total_step])
gg_2d = np.zeros([3,total_step])
x_2d = np.zeros([3,total_step])
######### Script code drawing figure ################
def main(from_path, to_path):
for n in range(start,stop+step,step):
#### header data ####
#plt.subplots_adjust(left=0.05,right=0.95,bottom=0.1,top=0.95,wspace=0.25,hspace=0.3)
#ax=plt.subplot(1,1,1,polar=True)
#fig = plt.figure()
#ax = fig.add_axes([0.1,0.1,0.8,0.8],polar=True)
data = sdf.read('Data20/'+str(n).zfill(4)+".sdf",dict=True)
header=data['Header']
time=header['time']
px = data['Particles/Px/electron'].data/(m0*v0)
py = data['Particles/Py/electron'].data/(m0*v0)
gg = np.sqrt(px**2+py**2+1.0)
idi = data['Particles/ID/electron'].data
x = data['Grid/Particles/electron'].data[0]/1.0e-6
px_2d[0,n-1] = px[np.where(idi == 1)]
py_2d[0,n-1] = py[np.where(idi == 1)]
gg_2d[0,n-1] = gg[np.where(idi == 1)]
x_2d[0,n-1] = x[np.where(idi == 1)]
data = sdf.read('Data40/'+str(n).zfill(4)+".sdf",dict=True)
header=data['Header']
time=header['time']
px = data['Particles/Px/electron'].data/(m0*v0)
py = data['Particles/Py/electron'].data/(m0*v0)
gg = np.sqrt(px**2+py**2+1.0)
idi = data['Particles/ID/electron'].data
x = data['Grid/Particles/electron'].data[0]/1.0e-6
px_2d[1,n-1] = px[np.where(idi == 1)]
py_2d[1,n-1] = py[np.where(idi == 1)]
gg_2d[1,n-1] = gg[np.where(idi == 1)]
x_2d[1,n-1] = x[np.where(idi == 1)]
data = sdf.read('Data80/'+str(n).zfill(4)+".sdf",dict=True)
header=data['Header']
time=header['time']
px = data['Particles/Px/electron'].data/(m0*v0)
py = data['Particles/Py/electron'].data/(m0*v0)
gg = np.sqrt(px**2+py**2+1.0)
idi = data['Particles/ID/electron'].data
x = data['Grid/Particles/electron'].data[0]/1.0e-6
px_2d[2,n-1] = px[np.where(idi == 1)]
py_2d[2,n-1] = py[np.where(idi == 1)]
gg_2d[2,n-1] = gg[np.where(idi == 1)]
x_2d[2,n-1] = x[np.where(idi == 1)]
print 'finised '+str(round(100.0*(n-start+step)/(stop-start+step),4))+'%'
plt.subplot(2,1,1)
x = np.linspace(-1.0,1.0,501)
y = x**2
plt.plot(x,y,'-k',linewidth=3,label='analytical solution')
a0=20
plt.scatter(py_2d[0,:]/a0,px_2d[0,:]/(a0**2)*2,s=0.5,c=(0.0,0.0,192.0/255.0),label=r'dx=1/20$\lambda; a_0=$'+str(a0),edgecolors='None')
plt.scatter(py_2d[0,:]/a0,px_2d[0,:]/(a0**2)*2,s=0.5,c=(0.0,192.0/255.0,0.0),label=r'dx=1/40$\lambda; a_0=$'+str(a0),edgecolors='None')
plt.scatter(py_2d[0,:]/a0,px_2d[0,:]/(a0**2)*2,s=0.5,c=(192.0/255.0,0.0,0.0),label=r'dx=1/80$\lambda; a_0=$'+str(a0),edgecolors='None')
plt.xlabel('$p_y/a_0$',fontdict=font)
plt.ylabel('$2p_x/a_0^2$',fontdict=font)
plt.xticks(fontsize=18)
plt.yticks(fontsize=18)
plt.xlim(-1.5,1.5)
plt.ylim(-0.2,1.2)
#ax.set_rticks(20);
plt.title(r'$p_x-p_y$',fontdict=font)
#ax.set_title(r"(a) $\xi_0=250$", va='bottom', fontdict=font)
plt.legend(loc='upper center',framealpha=0.0,markerscale=10.0,fontsize=20.0,scatterpoints=3)
plt.subplot(2,1,2)
x = np.linspace(0.0,100.0,501)
y = x*0.0+1
plt.plot(x,y,'-k',linewidth=3,label='analytical solution')
plt.scatter(x_2d[0,:],gg_2d[0,:]-px_2d[0,:],s=2.0,c=(0.0,0.0,192.0/255.0),label=r'dx=1/20$\lambda; a_0=$'+str(a0),edgecolors='None')
plt.scatter(x_2d[0,:],gg_2d[0,:]-px_2d[0,:],s=2.0,c=(0.0,192.0/255.0,0.0),label=r'dx=1/40$\lambda; a_0=$'+str(a0),edgecolors='None')
plt.scatter(x_2d[0,:],gg_2d[0,:]-px_2d[0,:],s=2.0,c=(192.0/255.0,0.0,0.0),label=r'dx=1/80$\lambda; a_0=$'+str(a0),edgecolors='None')
plt.xlabel('$x [\lambda]$',fontdict=font)
plt.ylabel('$\gamma-p_x$',fontdict=font)
plt.xticks(fontsize=18)
plt.yticks(fontsize=18)
plt.xlim(0,100)
plt.ylim(0.8,4.0)
#ax.set_rticks(20);
plt.title(r'$\gamma-px\ vs\ x$',fontdict=font)
#ax.set_title(r"(a) $\xi_0=250$", va='bottom', fontdict=font)
#plt.legend(loc='upper center',framealpha=0.0,markerscale=10.0,fontsize=20.0,scatterpoints=3)
fig = plt.gcf()
fig.set_size_inches(10,16)
fig.savefig('px_py'+'.png',format='png',dpi=100)
plt.close("all")
if __name__ == "__main__":
parser = OptionParser()
parser.add_option("-f","--from_path",
dest = "from_path",
type = "string",
default = "Data")
parser.add_option("-t","--to_path",
dest = "to_path",
type = "string",
default = "jpg")
(option,args) = parser.parse_args()
if option.from_path[-1:] != '/' :
option.from_path += '/'
option.to_path = option.to_path
if option.to_path[-1:] != '/' :
option.to_path += '/'
if not os.path.exists(option.from_path):
print 'error: input data path not exist'
# exit()
print "from path:", option.from_path
print "to path:", option.to_path
if not os.path.exists(option.to_path):
os.mkdir(option.to_path)
main(option.from_path,option.to_path)