In [1]:

    

from __future__ import division
import matplotlib.pyplot as plt
import matplotlib as mpl
import numpy as np
from matplotlib.colors import LightSource, Normalize
from matplotlib.pyplot import gca
from pylab import rcParams
from matplotlib import rc
import scipy.ndimage.filters
import pickle


    

In [2]:

    

DH = 20.0;
NX = 500;
NY = 174;


    

In [3]:

    

FSize = 25
font = {'color':  'black',
        'weight': 'bold',
        'size': FSize}
mpl.rc('xtick', labelsize=FSize) 
mpl.rc('ytick', labelsize=FSize) 
rcParams['figure.figsize'] = 12, 11


    

In [4]:

    

f = open ('../start/marmousi_II_smooth2.vp')
data_type = np.dtype ('float32').newbyteorder ('<')
vp = np.fromfile (f, dtype=data_type)
vp = vp.reshape(NX,NY)
vp = np.transpose(vp)
vp = np.flipud(vp)


    

In [5]:

    

f1 = open ('../jacobian/jacobian_Test_P_image')
RTM = np.fromfile (f1, dtype=data_type)
RTM = RTM.reshape(NX,NY)
RTM = np.transpose(RTM)
RTM = np.flipud(RTM)
RTM = scipy.ndimage.filters.laplace(RTM) # suppress low-wavenumber artifacts in image


    

In [6]:

    

x = np.arange(0.0, DH*NX/1000.0, DH)
y = np.arange(0.0, DH*NY/1000.0, DH)


    

In [7]:

    

extent = [0.0,NX*DH/1000.0,0.0,NY*DH/1000.0]
cmax=2e-9
cmin=-cmax

fig = plt.figure(frameon=False)

plt.rc('font',**{'family':'sans-serif','sans-serif':['Helvetica']})
plt.rc('text', usetex=True)

im1 = plt.imshow(vp, cmap=plt.cm.jet, interpolation='nearest', extent=extent)
plt.hold(True)

im2 = plt.imshow(RTM, cmap=plt.cm.gray, alpha=.70, interpolation='bicubic',
                 extent=extent, vmin=cmin, vmax=cmax)

#im2 = plt.imshow(RTM, cmap=plt.cm.seismic, interpolation='bicubic',
#                 extent=extent, vmin=cmin, vmax=cmax)

a = gca()
a.set_xticklabels(a.get_xticks(), font)
a.set_yticklabels(a.get_yticks(), font)
#plt.axis('scaled')
plt.title('Marmousi-RTM (smooth2 model)', fontdict=font)
plt.ylabel('Depth [km]', fontdict=font)
plt.xlabel('Distance [km]', fontdict=font)
plt.gca().invert_yaxis()
#cbar=plt.colorbar()
#cbar.set_label('Vp[m/s]', fontdict=font, labelpad=1)
plt.tight_layout()
#plt.savefig('Marmousi_RTM.pdf', format='pdf')
#plt.savefig('Marmousi_RTM.png', format='png')
plt.show()


    

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