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work_theta_july.py
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work_theta_july.py
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import sdf
import matplotlib
matplotlib.use('agg')
#%matplotlib inline
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
######## 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
print('electric field unit: '+str(exunit))
print('magnetic field unit: '+str(bxunit))
print('density unit nc: '+str(denunit))
font = {'family' : 'monospace',
'style' : 'normal',
'color' : 'black',
'weight' : 'normal',
'size' : 30,
}
######### Parameter you should set ###########
start = 12 # start time
stop = 12 # end time
step = 1 # the interval or step
n=12
for n in range(start,stop+step,step):
data = sdf.read("./Data_a20_fine/"+str(n).zfill(4)+".sdf",dict=True)
header=data['Header']
time=header['time']
work_x = data['Particles/Time_Integrated_Work_x/subset_high_e/electron'].data
work_y = data['Particles/Time_Integrated_Work_y/subset_high_e/electron'].data
px = data['Particles/Px/subset_high_e/electron'].data/(m0*v0)
py = data['Particles/Py/subset_high_e/electron'].data/(m0*v0)
grid_x = data['Grid/Particles/subset_high_e/electron'].data[0]/wavelength
grid_y = data['Grid/Particles/subset_high_e/electron'].data[1]/wavelength
gg = (px**2+py**2+1.0)**0.5 # relativistic factor gamma
work_x = work_x[gg > 5]
work_y = work_y[gg > 5]
px = px[gg>5]
py = py[gg>5]
#choice = np.random.choice(range(px.size), 10000, replace=False)
choice = np.random.choice(range(px.size), px.size, replace=False)
px = px[choice]
py = py[choice]
work_x = work_x[choice]
work_y = work_y[choice]
theta = np.arctan2(py,px)*180.0/np.pi
theta[theta < -7.5] = -7.5
theta[theta > 7.5] = 7.5
color_index = abs(theta)
# plt.subplot()
plt.scatter(work_x, work_y, c=color_index, s=1., cmap='rainbow_r', edgecolors='None', alpha=0.66)
cbar=plt.colorbar( ticks=np.linspace(np.min(color_index), np.max(color_index), 5) ,pad=0.01)
cbar.ax.set_yticklabels(cbar.ax.get_yticklabels(), fontsize=20)
cbar.set_label(r'$|\theta|$'+' [degree]',fontdict=font)
plt.plot(np.linspace(-500,900,1001), np.zeros([1001]),':k',linewidth=2.5)
plt.plot(np.zeros([1001]), np.linspace(-500,900,1001),':k',linewidth=2.5)
plt.plot(np.linspace(-500,900,1001), np.linspace(-500,900,1001),'-g',linewidth=3)
plt.plot(np.linspace(-500,900,1001), 200-np.linspace(-500,900,1001),'-',color='grey',linewidth=3)
# plt.legend(loc='upper right')
plt.xlim(-250,750)
plt.ylim(-250,750)
plt.xlabel('W$_x$ [m$_e$c$^2$]',fontdict=font)
plt.ylabel('W$_y$ [m$_e$c$^2$]',fontdict=font)
plt.xticks(fontsize=30); plt.yticks(fontsize=30);
plt.text(-100,650,' t ='+str(time/1e-15)+' fs',fontdict=font)
plt.subplots_adjust(left=0.16, bottom=None, right=0.97, top=None,
wspace=None, hspace=None)
#plt.show()
#lt.figure(figsize=(100,100))
fig = plt.gcf()
fig.set_size_inches(12, 10.5)
fig.savefig('./Data_a20_fine/theta_new'+str(n).zfill(4)+'.png',format='png',dpi=160)
plt.close("all")
print('finised '+str(round(100.0*(n-start+step)/(stop-start+step),4))+'%')