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wrap_angular_gamma_dist.py
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wrap_angular_gamma_dist.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' : 20,
}
data = sdf.read('./Data/'+str(12).zfill(4)+".sdf",dict=True)
header=data['Header']
time=header['time']
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
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
#field_ex = data['Particles/field_ex/subset_high_e/electron'].data/exunit
#field_ey = data['Particles/field_ey/subset_high_e/electron'].data/exunit
#field_bz = data['Particles/field_bz/subset_high_e/electron'].data/bxunit
gg = (px**2+py**2+1)**0.5
px = px [(abs(grid_y) < 3.2) & (gg > 200.0)]
py = py [(abs(grid_y) < 3.2) & (gg > 200.0)]
work_x = work_x [(abs(grid_y) < 3.2) & (gg > 200.0)]
work_y = work_y [(abs(grid_y) < 3.2) & (gg > 200.0)]
gg = (px**2+py**2+1)**0.5
theta = np.arctan2(py,px)*180.0/np.pi
# plt.subplot()
plt.scatter(theta[work_x > work_y], gg[work_x > work_y], c='red', s=5, edgecolors='None', alpha=0.4)
plt.scatter(theta[work_x < work_y], gg[work_x < work_y], c='blue', s=5, edgecolors='None', alpha=0.4)
# plt.legend(loc='upper right')
plt.xlim(-12,12)
# plt.ylim(0,400)
plt.xlabel(r'$\theta$'+' [degree]',fontdict=font)
plt.ylabel('$\gamma$',fontdict=font)
plt.xticks(fontsize=20); plt.yticks(fontsize=20);
plt.ylim(200,800.0)
fig = plt.gcf()
fig.set_size_inches(8.0, 6.5)
fig.savefig('./figure_wrap_up/'+'angular_gamma_dist_0012.png',format='png',dpi=160)
plt.close("all")