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#!/usr/bin/python3
#ADD COMMENT
#ADD COMMENT
#ADD COMMENT
import sys
import glob
import os
import numpy as np
import matplotlib.pyplot as plt
import yt
#Physical parameters
um = 1.e-6
fs = 1.e-15
c = 299792458
#Parameters of the gaussian beam
wavelength = 1.*um
w0 = 6.*um
tt = 10.*fs
x_c = 0.*um
t_c = 20.*fs
foc_dist = 10*um
E_max = 1e12
#Parameters of the tx grid
x_l = -12.0*um
x_r = 12.0*um
x_points = 480
t_l = 0.0*fs
t_r = 40.0*fs
t_points = 400
tcoords = np.linspace(t_l, t_r, t_points)
xcoords = np.linspace(x_l, x_r, x_points)
def gauss(T,X,Y,opt):
k0 = 2.0*np.pi/wavelength
inv_tau2 = 1./tt/tt
osc_phase = k0*c*(T-t_c)
diff_factor = 1.0 + 1.0j* foc_dist * 2/(k0*w0*w0)
inv_w_2 = 1.0/(w0*w0*diff_factor)
pre_fact = np.exp(1.0j * osc_phase)
if opt == '3d':
pre_fact = pre_fact/diff_factor
else:
pre_fact = pre_fact/np.sqrt(diff_factor)
exp_arg = - (X*X + Y*Y)*inv_w_2 - inv_tau2 * (T-t_c)*(T-t_c)
return np.real(pre_fact * np.exp(exp_arg))
def write_file(fname, x, y, t, E):
with open(fname, 'wb') as file:
flag_unif = 0
file.write(flag_unif.to_bytes(1, byteorder='little'))
file.write((len(t)).to_bytes(4, byteorder='little', signed=False))
file.write((len(x)).to_bytes(4, byteorder='little', signed=False))
file.write((len(y)).to_bytes(4, byteorder='little', signed=False))
file.write(t.tobytes())
file.write(x.tobytes())
file.write(y.tobytes())
file.write(E.tobytes())
def write_file_unf(fname, x, y, t, E):
with open(fname, 'wb') as file:
flag_unif = 1
file.write(flag_unif.to_bytes(1, byteorder='little'))
file.write((len(t)).to_bytes(4, byteorder='little', signed=False))
file.write((len(x)).to_bytes(4, byteorder='little', signed=False))
file.write((len(y)).to_bytes(4, byteorder='little', signed=False))
file.write(t[0].tobytes())
file.write(t[-1].tobytes())
file.write(x[0].tobytes())
file.write(x[-1].tobytes())
file.write(y[0].tobytes())
file.write(y[-1].tobytes())
file.write(E.tobytes())
def create_gaussian_2d():
T, X, Y = np.meshgrid(tcoords, xcoords, np.array([0.0]), indexing='ij')
E_t = gauss(T,X,Y,'2d')
write_file("gauss_2d.txye", xcoords, np.array([0.0]), tcoords, E_t)
write_file_unf("gauss_2d_unf.txye", xcoords, np.array([0.0]), tcoords, E_t)
def do_analysis(fname):
data_set_end = yt.load(fname)
sim_time = data_set_end.current_time.to_value()
ray0 = data_set_end.ray((0*um,0*um,0), (15*um, 15*um,0))
xx0 = np.array(ray0["t"])*np.sqrt(2)*15*um
EE0 = np.array(ray0["Ey"])/E_max
expected0 = [-gauss((sim_time)-x/c , 0, 0, '2d') for x in xx0]
#DEBUG
plt.plot(xx0,EE0,'bo')
plt.plot(xx0,expected0,'ro')
plt.savefig('graph.png')
#__DEBUG__
return True
def launch_analysis(executable):
create_gaussian_2d()
os.system("./" + executable + " inputs.2d_test_txye")
assert(do_analysis("diags/plotfiles/plt00507/"))
os.system("sed -i 's/gauss_2d_unf.txye/gauss_2d.txye/g' inputs.2d_test_txye")
os.system("./" + executable + " inputs.2d_test_txye")
assert(do_analysis("diags/plotfiles/plt00507/"))
def main() :
executables = glob.glob("main2d*")
if len(executables) == 1 :
launch_analysis(executables[0])
else :
assert(False)
if __name__ == "__main__":
main()
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