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main_anim.py
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main_anim.py
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import sys, os, glob
from time import time, sleep
from numpy import *
import matplotlib.pyplot as plt
from matplotlib import animation
import simulation
def init():
global fig
sc_plot.set_data(zeros((Nx,Ny)))
# oned_plot.set_data((arange(Nx)+0.5)*dx, zeros(Nx))
# U = asarray(sim.U[3:-3,3:-3,0,:])
# b_plot.set_UVC(U[::N/arrws,::N/arrws,7],
# U[::N/arrws,::N/arrws,8])
return sc_plot, #oned_plot, #b_plot,
def animate(k):
global fig,title, sim, evry,dx, step, stepmax,traj
# print 'step =', k*evry
# if step>1: sys.exit()
t = time()
sim.integrate(evry)
# print 't = ', sim.time
# print 'dt =', sim.dt
step += evry
U = asarray(sim.U[3:-3,3:-3,0,:])
# coup = asarray(sim.Coup[:,:,0,:])
# save('coup.npy', coup)
#
# if k==0:
# prts = sim.particles
# save('prts.npy', prts)
# traj[:,k+1,:] = prts[:]
# if k==5:
# save('traj.npy', traj)
# save('U_'+str(step), U)
Ek = 0.5*(U[...,MX]**2 + U[...,MY]**2 + U[...,MZ]**2)/U[...,RHO]
Em = 0.5*(U[...,BX]**2 + U[...,BY]**2 + U[...,BZ]**2)
# Bm = sqrt(2*Em)
p = (gam-1) * (U[...,EN] - Em - Ek) #- 0.5 * beta
# ppd = U[...,IPD]*sqrt(2*Em)
# ppl = 3*p - 2*ppd
# ppl = U[...,IPL]/(2*Em)*U[...,RHO]**2
# p = 0.333 * (2 * ppd + ppl)# - 0.5 * beta
# Ipd = U[...,IPD].mean()
# Ipl = U[...,IPL].mean()
# ppl0 = ppl.mean()
# ppd0 = ppd.mean()
# S = p/U[...,RHO]**(5./3)
# delta = (U[3:-3,5,6]*Bm[3:-3,5] - 0.5*p[3:-3,5])/p[3:-3,5]
# Bm = sqrt(2*Em)
# bx = U[...,BX]/Bm
# by = U[...,BY]/Bm
# bz = U[...,BZ]/Bm
# Emm = Em.mean()
# Ekm = Ek.mean()
# Etm = U[...,EN].mean() - Emm - Ekm
# print 'Em =', Emm
# print 'dB2 =', 0.5*(U[...,BZ]**2).mean()
# print 'Ek =', Ekm
# print 'Et =', Etm
# print 'Etot =', Ekm+Emm+Etm
sc_plot.set_array(p.T[::-1])
# oned_plot.set_data((arange(Nx)+0.5)*dx, (ppd-ppl)/(2*Em))#ppd-0.5*beta)#)##
title.set_text(r'$t={}\tau_A$'.format(round(sim.time,2)))
# b_plot.set_UVC(bx[::N/arrws,::N/arrws], by[::N/arrws,::N/arrws])
# sleep(0.1)
print 't_comp = ', time()-t, '\n'
# print Ipd, Ipl, ppd0,ppl0
return sc_plot,title, #oned_plot, #b_plot,
#------------------------------------------------------------------------------
sim = Simulation()
sim.init('./params.cfg')
dt = sim.dt
Lx,Ly,Lz = sim.dim_phys
Nx,Ny,Nz = sim.dim_cells
dx = Lx/Nx
N = int(1./dx)
params = sim.params
gam = params['gam']
beta = params['beta']
RHO, MX,MY,MZ, EN, PSC, BX,BY,BZ = range(9)
# RHO, MX,MY,MZ, EN, SE, PSC, BX,BY,BZ = range(10)
#
# RHO, MX,MY,MZ, EN, IPD, PSC, BX,BY,BZ = range(10)
# RHO, MX,MY,MZ, IPL,IPD, PSC, BX,BY,BZ = range(10)
#
# RHO, MX,MY,MZ, EN, IPD,SE, PSC, BX,BY,BZ = range(11)
# RHO, MX,MY,MZ, IPL,IPD,SE, PSC, BX,BY,BZ = range(11)
U = asarray(sim.U[:,:,0,:])
# prts = sim.particles
# save('U_0.npy', U)
# save('prts_0.npy', prts)
if not os.path.exists('out'):
os.mkdir('out')
os.chdir('out')
else:
for f in glob.glob('out/*'): os.remove(f)
os.chdir('out')
step=0
evry=20
stepmax=10
# vmin = -1.1
# vmax = 0.1
vmin = 0.03
vmax = 3.2
# traj=zeros((shape(prts)[0],stepmax+1,shape(prts)[1]))
# traj[:,0,:]=prts[:]
# vmin=0.8
# vmax=2.2
#----------------------------------------------------------------
fig = plt.figure(figsize=(8,8))
ax1= fig.add_subplot(111, xlim=[0, Lx],
ylim=[0, Ly])
title = ax1.text(0.76,-0.47,'', fontsize=24)
extent = [0, Lx, 0, Ly]
sc_plot = ax1.imshow(zeros((Nx,Ny)).T[::-1], vmin=vmin, vmax=vmax,
extent=extent, interpolation="nearest",
aspect=1, cmap='jet')#,cmap='YlOrRd')
plt.colorbar(sc_plot)
# oned_plot, = ax1.plot((arange(Nx)+0.5)*dx, U[3:-3,0,RHO])
# ax1.set_ylim(ymin=vmin,ymax=vmax)
# arrws = 48
# X,Y = mgrid[0:Lx:1./arrws, 0:Ly:1./arrws]
# b_plot = ax1.quiver(X,Y, U[::N/arrws,::N/arrws, 7],
# U[::N/arrws,::N/arrws, 8],
# color='w', headwidth=2, scale=30.)#/sqrt(0.5*beta))
anim = animation.FuncAnimation(fig, animate, frames=stepmax, init_func=init,
interval=10, blit=True)
# anim.save('alfven_disruption.mp4', fps=30)
plt.show()