diff --git a/notebooks/SeismicRefraction_model1.ipynb b/notebooks/SeismicRefraction_model1.ipynb
index 5e3aaa6..c09d6f5 100644
--- a/notebooks/SeismicRefraction_model1.ipynb
+++ b/notebooks/SeismicRefraction_model1.ipynb
@@ -1,7 +1,7 @@
 {
  "metadata": {
   "name": "",
-  "signature": "sha256:ba0d58707794e1b5c15674f466132dbb41862fb584eeaebdb1c82a786054b850"
+  "signature": "sha256:cf155091dd978147c5c682fc380334298490b630d77ee5e5adbc983a869013ac"
  },
  "nbformat": 3,
  "nbformat_minor": 0,
@@ -84,7 +84,7 @@
        ]
       }
      ],
-     "prompt_number": 4
+     "prompt_number": 73
     },
     {
      "cell_type": "code",
@@ -92,7 +92,7 @@
      "input": [
       "print time.max()\n",
       "mesh.plotImage(v)\n",
-      "plt.plot(rx.locs[:,0], rx.locs[:,1], 'k.')"
+      "plt.plot(rx.locs[:,0], rx.locs[:,1], 'r.')"
      ],
      "language": "python",
      "metadata": {},
@@ -107,21 +107,21 @@
       {
        "metadata": {},
        "output_type": "pyout",
-       "prompt_number": 5,
+       "prompt_number": 74,
        "text": [
-        "[<matplotlib.lines.Line2D at 0xa5c90f0>]"
+        "[<matplotlib.lines.Line2D at 0x1318e780>]"
        ]
       },
       {
        "metadata": {},
        "output_type": "display_data",
-       "png": "iVBORw0KGgoAAAANSUhEUgAAAYMAAAEKCAYAAADw2zkCAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
+       "png": "iVBORw0KGgoAAAANSUhEUgAAAYMAAAEKCAYAAADw2zkCAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAAAAAAAAAAAAALC4/h/3NYNxRAcjkwAAAABJRU5ErkJggg==\n",
        "text": [
-        "<matplotlib.figure.Figure at 0xa5c9748>"
+        "<matplotlib.figure.Figure at 0x1318e160>"
        ]
       }
      ],
-     "prompt_number": 5
+     "prompt_number": 74
     },
     {
      "cell_type": "code",
@@ -135,9 +135,9 @@
       {
        "metadata": {},
        "output_type": "pyout",
-       "prompt_number": 6,
+       "prompt_number": 75,
        "text": [
-        "[<matplotlib.lines.Line2D at 0xa8cb1d0>]"
+        "[<matplotlib.lines.Line2D at 0xdab1940>]"
        ]
       },
       {
@@ -145,11 +145,11 @@
        "output_type": "display_data",
        "png": "iVBORw0KGgoAAAANSUhEUgAAAYIAAAEACAYAAAC+gnFaAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nJEmSNNL+P3pPFOSSv3bwAAAAAElFTkSuQmCC\n",
        "text": [
-        "<matplotlib.figure.Figure at 0xa5bdc50>"
+        "<matplotlib.figure.Figure at 0x3b79e80>"
        ]
       }
      ],
-     "prompt_number": 6
+     "prompt_number": 75
     },
     {
      "cell_type": "code",
@@ -171,7 +171,7 @@
         ">> Main frequency, fmain: 1.00e+02 Hz\n",
         ">> Cell per wavelength (G): 2.00e+01\n",
         "  Tx at ( -49.90,  -49.90):    1/   1\n",
-        ">>Elapsed time: 1.06e+02 s"
+        ">>Elapsed time: 8.73e+01 s"
        ]
       },
       {
@@ -182,7 +182,7 @@
        ]
       }
      ],
-     "prompt_number": 7
+     "prompt_number": 76
     },
     {
      "cell_type": "code",
@@ -194,7 +194,7 @@
      "language": "python",
      "metadata": {},
      "outputs": [],
-     "prompt_number": 9
+     "prompt_number": 85
     },
     {
      "cell_type": "code",
@@ -202,12 +202,12 @@
      "input": [
       "# from IPython.display import set_matplotlib_formats\n",
       "# set_matplotlib_formats('png')\n",
-      "# matplotlib.rcParams['savefig.dpi'] = 200 # Change this to adjust figure size\n"
+      "# matplotlib.rcParams['savefig.dpi'] = 200 # Change this to adjust figure size"
      ],
      "language": "python",
      "metadata": {},
      "outputs": [],
-     "prompt_number": 10
+     "prompt_number": 86
     },
     {
      "cell_type": "code",
@@ -216,23 +216,26 @@
       "fig = plt.figure()\n",
       "kwargs = {\n",
       "    'skipt': 2,\n",
-      "    'scale': 0.04,\n",
+      "    'scale': 0.05,\n",
       "    'lwidth': 0.1,\n",
       "    'sampr': dt,\n",
+      "    'dx':0.5\n",
       "}\n",
-      "extent = [0, 180, 0.11, 0]\n",
-      "ax1 = fig.add_subplot(1, 2, 1, aspect='auto')\n",
+      "extent = [-3, 90, 0.12, 0]\n",
+      "fig, ax1 = plt.subplots(1,1, figsize = (8,5))\n",
       "ax1.invert_yaxis()\n",
       "ax1.axis(extent)\n",
       "UtilsSeis.wiggle(data[0], **kwargs)\n",
-      "# ax1.set_xlabel('Channel')\n",
-      "# ax1.set_ylabel('Time (s)')\n",
-      "# ax1.set_title('Original Gather')\n",
-      "ax1.set_xticks([])\n",
-      "ax1.set_yticks([])\n",
+      "ax1.plot(UtilsSeis.PrimaryWave(7e-3, time, 400.), time, 'k-', lw=2)\n",
+      "ax1.plot(UtilsSeis.ReflectedWave(7e-3, time, 400., 5.), time, 'b-', lw=2)\n",
+      "ax1.plot(UtilsSeis.PrimaryWave(0.032, time, 1000.), time, 'r-', lw=2)\n",
+      "ax1.plot(UtilsSeis.PrimaryWave(0.048, time, 1500.), time, 'g-', lw=2)\n",
       "\n",
+      "ax1.set_xlabel('Offset (m)')\n",
+      "ax1.set_ylabel('Time (s)')\n",
+      "ax1.set_title('Common Shot Gather')\n",
       "fig.tight_layout()\n",
-      "fig.savefig(\"model1_data\", dpi = 200)"
+      "fig.savefig(\"model1_data_with_lines\", dpi = 200)"
      ],
      "language": "python",
      "metadata": {},
@@ -240,19 +243,26 @@
       {
        "metadata": {},
        "output_type": "display_data",
-       "png": 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trbBarTh06BCAbnYyVUh10GhP6nVkE6k2AXuLjy9eJOXHok7wer3MFBQ7hjRZ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\nxmzkdQAAAABJRU5ErkJggg==\n",
        "text": [
-        "<matplotlib.figure.Figure at 0x1af78ef0>"
+        "<matplotlib.figure.Figure at 0x14cec320>"
+       ]
+      },
+      {
+       "metadata": {},
+       "output_type": "display_data",
+       "png": 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CT9VwVb2OmsYa723Pnj2tkBPHw+GFnNDQ0JrOAiB2whMnTnDixAneffddBgwYwOrVq9Fo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\n5MhlMrEVclixq25cR8TZy2c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1izfeeMPk6k1ZateuDYjONY8fP877779P+/bt6dixI++9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\nn2RFwyMleKxXr554fVIWYwnpuzU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+O9c5gpFvbh+QDRzDMFPVyX6rq0LO71udT1NbuDHy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\nSUVORK5CYII=\n",
+       "text": [
+        "<matplotlib.figure.Figure at 0x1386c208>"
        ]
       }
      ],
-     "prompt_number": 32
+     "prompt_number": 119
     },
     {
      "cell_type": "code",
      "collapsed": false,
      "input": [
-      "icount = 1999\n",
+      "icount = 600\n",
       "fig, ax = plt.subplots(1,1, figsize = (8, 5))\n",
       "extent = [mesh.vectorCCx.min(), mesh.vectorCCx.max(), mesh.vectorCCy.min()-mesh.vectorCCy.max(), mesh.vectorCCy.max()-mesh.vectorCCy.max()]\n",
       "ax.imshow(np.flipud(U[0][:,icount].reshape((mesh.nCx, mesh.nCy), order = 'F').T), cmap = 'binary', extent=extent)  \n",
@@ -264,21 +274,21 @@
       {
        "metadata": {},
        "output_type": "pyout",
-       "prompt_number": 14,
+       "prompt_number": 80,
        "text": [
-        "<matplotlib.image.AxesImage at 0x158c8860>"
+        "<matplotlib.image.AxesImage at 0x1319be80>"
        ]
       },
       {
        "metadata": {},
        "output_type": "display_data",
-       "png": 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blFslcJJH/XPWyqiLLXK0nZfySX0X9VLUl04igD5F4Kpf/guLLHrEKwnYLYNb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\nCPlNAP/Y8vdvZec/B+DDAP4HAP91yX323vPHjmx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1RRgDAJaICnleBDEA4AQQyG0QwgCAE7ZIk/U/lnRL0kuS/pukG866ZyS9KukV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\nAAAAAAAAAAAAAAAAAAAAAICT8/8BQUZgyHkqtdYAAAAASUVORK5CYII=\n",
        "text": [
-        "<matplotlib.figure.Figure at 0xa8cb940>"
+        "<matplotlib.figure.Figure at 0x11ae9748>"
        ]
       }
      ],
-     "prompt_number": 14
+     "prompt_number": 80
     },
     {
      "cell_type": "code",
@@ -297,7 +307,7 @@
        ]
       }
      ],
-     "prompt_number": 15
+     "prompt_number": 81
     },
     {
      "cell_type": "code",
@@ -311,12 +321,17 @@
       "extent = [mesh.vectorCCx.min(), mesh.vectorCCx.max(), mesh.vectorCCy.min()-mesh.vectorCCy.max(), mesh.vectorCCy.max()-mesh.vectorCCy.max()]\n",
       "ax.set_xlim(extent[:2])\n",
       "ax.set_ylim(extent[2:])\n",
-      "\n",
+      "ax.text(0, -3.8, '$V_1$ = 400 m/s', fontsize = 16)\n",
+      "ax.text(0, -10.8, '$V_2$ = 1000 m/s', fontsize = 16)\n",
+      "ax.text(0, -20.8, '$V_3$ = 1500 m/s', fontsize = 16)\n",
       "nskip = 80\n",
       "def animate(i_id):\n",
       "    icount = i_id*nskip\n",
       "    frame = ax.imshow(np.flipud(U[0][:,icount].reshape((mesh.nCx, mesh.nCy), order = 'F').T), cmap = 'binary', extent=extent)    \n",
       "    ax.imshow(np.flipud(v.reshape((mesh.nCx, mesh.nCy), order = 'F').T), cmap = 'jet', extent=extent, alpha = 0.2)  \n",
+      "    ax.plot(rx.locs[:,0], rx.locs[:,1]-mesh.vectorCCy.max(), 'r.', ms = 10)\n",
+      "    ax.set_title(('Time = %5.3f s')%(time[i_id*nskip]))\n",
+      "    \n",
       "    return frame\n",
       "animation.FuncAnimation(fig, animate, frames=25, interval=40, blit=True)"
      ],
@@ -463,12 +478,12 @@
         "</script>\n",
         "\n",
         "<div class=\"animation\" align=\"center\">\n",
-        "    <img id=\"_anim_imgCMXFXQBEUHOFBSOQ\">\n",
+        "    <img id=\"_anim_imgUVNXPAXVBLRKAQMY\">\n",
         "    <br>\n",
-        "    <input id=\"_anim_sliderCMXFXQBEUHOFBSOQ\" type=\"range\" style=\"width:350px\" name=\"points\" min=\"0\" max=\"1\" step=\"1\" value=\"0\" onchange=\"animCMXFXQBEUHOFBSOQ.set_frame(parseInt(this.value));\"></input>\n",
+        "    <input id=\"_anim_sliderUVNXPAXVBLRKAQMY\" type=\"range\" style=\"width:350px\" name=\"points\" min=\"0\" max=\"1\" step=\"1\" value=\"0\" onchange=\"animUVNXPAXVBLRKAQMY.set_frame(parseInt(this.value));\"></input>\n",
         "    <br>\n",
-        "    <button onclick=\"animCMXFXQBEUHOFBSOQ.slower()\">&#8211;</button>\n",
-        "    <button onclick=\"animCMXFXQBEUHOFBSOQ.first_frame()\"><img class=\"anim_icon\" src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABQAAAAUCAQAAAAngNWGAAAAAXNSR0IArs4c6QAAAAJiS0dEAP+H\n",
+        "    <button onclick=\"animUVNXPAXVBLRKAQMY.slower()\">&#8211;</button>\n",
+        "    <button onclick=\"animUVNXPAXVBLRKAQMY.first_frame()\"><img class=\"anim_icon\" src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABQAAAAUCAQAAAAngNWGAAAAAXNSR0IArs4c6QAAAAJiS0dEAP+H\n",
         "j8y/AAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH3QURCAgaeZk4EQAAASlJREFUKM/dkj9L\n",
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         "0u79Ndxr5FfwTO/L+xzO4XCgO+v2T70AFU+/A/Dhmlzg6Pr0DKAMwOH4zQxAAbAkv2xNeF2RoQUV\n",
@@ -477,14 +492,14 @@
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         "rV+/blxKMZUnLgAAAABJRU5ErkJggg==\n",
         "\"></button>\n",
-        "    <button onclick=\"animCMXFXQBEUHOFBSOQ.previous_frame()\"><img class=\"anim_icon\" src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABQAAAAUCAQAAAAngNWGAAAAAXNSR0IArs4c6QAAAAJiS0dEAP+H\n",
+        "    <button onclick=\"animUVNXPAXVBLRKAQMY.previous_frame()\"><img class=\"anim_icon\" src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABQAAAAUCAQAAAAngNWGAAAAAXNSR0IArs4c6QAAAAJiS0dEAP+H\n",
         "j8y/AAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH3QURCAgyTCyQ6wAAANRJREFUKM9jYBjO\n",
         "4AiUfgzFGGAp4+yayUvX6jMwMDCsYmBgOCS4OAOrSYmMgcc8/pd5Q3irC+Neh/1AlmeBMVgZmP8y\n",
         "MLD8/c/cqv9r90whzv/MX7Eq/MfAwMDIwCuZdfSV8U8WDgZGRmYGrAoZGRgY/jO8b3sj/J2F6T8j\n",
         "4z80pzEhmIwMjAxsSbqqlkeZGP//Z8SlkJnhPwMjwx/Guoe1NhmRwk+YGH5jV8jOwMPHzcDBysAw\n",
         "h8FrxQwtPU99HrwBXsnAwMDAsJiBgYGBoZ1xmKYqALHhMpn1o7igAAAAAElFTkSuQmCC\n",
         "\"></button>\n",
-        "    <button onclick=\"animCMXFXQBEUHOFBSOQ.reverse_animation()\"><img class=\"anim_icon\" src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABQAAAAUCAQAAAAngNWGAAAAAXNSR0IArs4c6QAAAAJiS0dEAP+H\n",
+        "    <button onclick=\"animUVNXPAXVBLRKAQMY.reverse_animation()\"><img class=\"anim_icon\" src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABQAAAAUCAQAAAAngNWGAAAAAXNSR0IArs4c6QAAAAJiS0dEAP+H\n",
         "j8y/AAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH3QURCAgmVvZElgAAAVFJREFUKM+t0k8o\n",
         "w3EYx/H3s/2aLDUSZctFkgsHEi1XLi5ukpPSWsuJklwclsPSsDKFi7MSJ0I5qF2GHO2m0FY7+BdN\n",
         "v7Y9DpuxDSt5vsfvq+fT9/k+8D8VBxIAWH6H0ead4Qb5BRwCENoceZi5Stl/6BgCBmtWhjzxg4mU\n",
@@ -494,14 +509,14 @@
         "vs7+jud0UcuyL3QAkuEMx4rnIvBYq1JhEwPAUb3fG7x8tVdc292/7Po7f2VqA+Yz7ZwAAAAASUVO\n",
         "RK5CYII=\n",
         "\"></button>\n",
-        "    <button onclick=\"animCMXFXQBEUHOFBSOQ.pause_animation()\"><img class=\"anim_icon\" src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABQAAAAUCAQAAAAngNWGAAAAAXNSR0IArs4c6QAAAAJiS0dEAP+H\n",
+        "    <button onclick=\"animUVNXPAXVBLRKAQMY.pause_animation()\"><img class=\"anim_icon\" src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABQAAAAUCAQAAAAngNWGAAAAAXNSR0IArs4c6QAAAAJiS0dEAP+H\n",
         "j8y/AAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH3QURCAkR91DQ2AAAAKtJREFUKM9jYCAN\n",
         "TEVib2K4jcRbzQihGWEC00JuNjN8Z2Q0Zo3VYWA4lL005venH9+c3ZK5IfIsMIXMBtc12Bj+MMgx\n",
         "MDAwMPzWe2TBzPCf4SLcZCYY4/9/RgZGBiaYFf8gljFhKiQERhUOeoX/Gf8y/GX4y/APmlj+Mfxj\n",
         "+MfwH64Qnnq0zr9fyfLrPzP3eQYGBobvk5x4GX4xMIij23gdib0cRWYHiVmAAQDK5ircshCbHQAA\n",
         "AABJRU5ErkJggg==\n",
         "\"></button>\n",
-        "    <button onclick=\"animCMXFXQBEUHOFBSOQ.play_animation()\"><img class=\"anim_icon\" src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABQAAAAUCAQAAAAngNWGAAAAAXNSR0IArs4c6QAAAAJiS0dEAP+H\n",
+        "    <button onclick=\"animUVNXPAXVBLRKAQMY.play_animation()\"><img class=\"anim_icon\" src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABQAAAAUCAQAAAAngNWGAAAAAXNSR0IArs4c6QAAAAJiS0dEAP+H\n",
         "j8y/AAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH3QURCAkEmo00MwAAAS9JREFUKM+tkj1I\n",
         "QmEUhp9j94LQj0FD4RRBLdLQ3ftb26PRcCiQIIiIDFwKC0OhaAiam5wVDBpqCKohQojMLYzaAiUa\n",
         "tOtpuQrKVQl64fu+4Xt4OLwc+Fs+nNM16jsPAWS6gZXggoZfXmfhog3hcZ6aTXF87Sp68OmH4/Yg\n",
@@ -510,14 +525,14 @@
         "gevhlc2C8ETApXAEFLzvwa3EXG9BoIE1GQUbv1h7k4fTXxBu6cKgUbX5M3ZzNC+a7rQ936HV56Sl\n",
         "Rpcle+Mf8wvgJ16zo/4BtQAAAABJRU5ErkJggg==\n",
         "\"></button>\n",
-        "    <button onclick=\"animCMXFXQBEUHOFBSOQ.next_frame()\"><img class=\"anim_icon\" src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABQAAAAUCAQAAAAngNWGAAAAAXNSR0IArs4c6QAAAAJiS0dEAP+H\n",
+        "    <button onclick=\"animUVNXPAXVBLRKAQMY.next_frame()\"><img class=\"anim_icon\" src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABQAAAAUCAQAAAAngNWGAAAAAXNSR0IArs4c6QAAAAJiS0dEAP+H\n",
         "j8y/AAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH3QURCAkd/uac8wAAAMhJREFUKM9jYBie\n",
         "4DEUQ8B+fEq3+3UrMzAwMFxjYGBgYJizYubaOUxYFUaXh/6vWfRfEMIL/+//P5gZJoei4/f/7wxn\n",
         "Y1PeNUXdE2RgYGZgYoCrY2BBVsjKwMDAwvCS4f3SG/dXxm5gYESSQ1HIwvCPgZmB8f8Pxv+Kxxb/\n",
         "YfiPJIdi9T8GJgaG/38ZFd4Fx0xUYsZt4h8GBgb2D2bLy7KnMTAwMEIxFoVCXIYr1IoDnkF4XAys\n",
         "qNIwUMDAwMDAsADKS2NkGL4AAIARMlfNIfZMAAAAAElFTkSuQmCC\n",
         "\"></button>\n",
-        "    <button onclick=\"animCMXFXQBEUHOFBSOQ.last_frame()\"><img class=\"anim_icon\" src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABQAAAAUCAQAAAAngNWGAAAAAXNSR0IArs4c6QAAAAJiS0dEAP+H\n",
+        "    <button onclick=\"animUVNXPAXVBLRKAQMY.last_frame()\"><img class=\"anim_icon\" src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABQAAAAUCAQAAAAngNWGAAAAAXNSR0IArs4c6QAAAAJiS0dEAP+H\n",
         "j8y/AAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH3QURCAknOOpFQQAAAS9JREFUKM/dkrEv\n",
         "Q3EQxz/33mtoQxiYpANbLU26NAabSCcSUouGBVNDjYQaOiDpIEiKjURIw2Kx04hEYmkHEpGoJpSI\n",
         "SaXq9Wd4P03/ht5y98197/u9XA4aK4rAWw3lgWddZ3S+/G9mEovtAB8AHE4pgTQAx8PbJweRmsq6\n",
@@ -526,8 +541,8 @@
         "+540NNFyrE1a8qHk5BaAjfnrzUaHfAWImVrLIXbgnx4/9X06s35cweWsVACa3a24PVp0X+rPv1aH\n",
         "FnSONdiL8Qci0lzwpOM5sQAAAABJRU5ErkJggg==\n",
         "\"></button>\n",
-        "    <button onclick=\"animCMXFXQBEUHOFBSOQ.faster()\">+</button>\n",
-        "  <form action=\"#n\" name=\"_anim_loop_selectCMXFXQBEUHOFBSOQ\" class=\"anim_control\">\n",
+        "    <button onclick=\"animUVNXPAXVBLRKAQMY.faster()\">+</button>\n",
+        "  <form action=\"#n\" name=\"_anim_loop_selectUVNXPAXVBLRKAQMY\" class=\"anim_control\">\n",
         "    <input type=\"radio\" name=\"state\" value=\"once\" > Once </input>\n",
         "    <input type=\"radio\" name=\"state\" value=\"loop\" checked> Loop </input>\n",
         "    <input type=\"radio\" name=\"state\" value=\"reflect\" > Reflect </input>\n",
@@ -539,1416 +554,15 @@
         "  /* Instantiate the Animation class. */\n",
         "  /* The IDs given should match those used in the template above. */\n",
         "  (function() {\n",
-        "    var img_id = \"_anim_imgCMXFXQBEUHOFBSOQ\";\n",
-        "    var slider_id = \"_anim_sliderCMXFXQBEUHOFBSOQ\";\n",
-        "    var loop_select_id = \"_anim_loop_selectCMXFXQBEUHOFBSOQ\";\n",
+        "    var img_id = \"_anim_imgUVNXPAXVBLRKAQMY\";\n",
+        "    var slider_id = \"_anim_sliderUVNXPAXVBLRKAQMY\";\n",
+        "    var loop_select_id = \"_anim_loop_selectUVNXPAXVBLRKAQMY\";\n",
         "    var frames = new Array(0);\n",
         "    \n",
         "  frames[0] = \"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAkAAAAJACAYAAABlmtk2AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\\\n",
-        "AAALEgAACxIB0t1+/AAAIABJREFUeJzt3XtwVvWd+PHPE5JArdYLLKgJEIVwiQoieKG1U60ERMSK\\\n",
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         "\"\n",
         "\n",
         "\n",
         "    /* set a timeout to make sure all the above elements are created before\n",
         "       the object is initialized. */\n",
         "    setTimeout(function() {\n",
-        "        animCMXFXQBEUHOFBSOQ = new Animation(frames, img_id, slider_id, 40, loop_select_id);\n",
+        "        animUVNXPAXVBLRKAQMY = new Animation(frames, img_id, slider_id, 40, loop_select_id);\n",
         "    }, 0);\n",
         "  })()\n",
         "</script>\n"
        ],
        "metadata": {},
        "output_type": "pyout",
-       "prompt_number": 16,
+       "prompt_number": 117,
        "text": [
-        "<matplotlib.animation.FuncAnimation at 0xa9509b0>"
+        "<matplotlib.animation.FuncAnimation at 0x2fdec470>"
        ]
       }
      ],
-     "prompt_number": 16
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "time_coarse = time[::20]"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [],
-     "prompt_number": 17
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "print time_coarse.size\n",
-      "htime = dt*np.ones(time_coarse.size)"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [
-      {
-       "output_type": "stream",
-       "stream": "stdout",
-       "text": [
-        "100\n"
-       ]
-      }
-     ],
-     "prompt_number": 18
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "mesh3D = Mesh.TensorMesh([hx, hy, htime], 'CC0')"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [],
-     "prompt_number": 19
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "print mesh3D"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [
-      {
-       "output_type": "stream",
-       "stream": "stdout",
-       "text": [
-        "  ---- 3-D TensorMesh ----  \n",
-        "   x0: -50.00\n",
-        "   y0: -25.00\n",
-        "   z0: 0.00\n",
-        "  nCx: 500\n",
-        "  nCy: 250\n",
-        "  nCz: 100\n",
-        "   hx: 500*0.20\n",
-        "   hy: 250*0.20\n",
-        "   hz: 100*0.00\n"
-       ]
-      }
-     ],
-     "prompt_number": 20
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "print U[0].shape"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [
-      {
-       "output_type": "stream",
-       "stream": "stdout",
-       "text": [
-        "(125000L, 2000L)\n"
-       ]
-      }
-     ],
-     "prompt_number": 21
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "Udown = U[0][:,::20]"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [],
-     "prompt_number": 22
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "print Udown.shape"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [
-      {
-       "output_type": "stream",
-       "stream": "stdout",
-       "text": [
-        "(125000L, 100L)\n"
-       ]
-      }
-     ],
-     "prompt_number": 23
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "U3D = Udown.reshape((mesh3D.nCx, mesh3D.nCy, time_coarse.size), order='F')"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [],
-     "prompt_number": 24
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "np.save('model1_field', U3D)\n",
-      "np.save('hx', hx)\n",
-      "np.save('hy', hy)\n",
-      "np.save('htime', htime)"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [],
-     "prompt_number": 25
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "np.save('time', time_coarse)"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [],
-     "prompt_number": 26
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "mesh3D.plotSlice(mkvc(U3D), ind=20)"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [
-      {
-       "metadata": {},
-       "output_type": "pyout",
-       "prompt_number": 27,
-       "text": [
-        "(<matplotlib.collections.QuadMesh at 0xd63d7b8>,)"
-       ]
-      },
-      {
-       "metadata": {},
-       "output_type": "display_data",
-       "png": "iVBORw0KGgoAAAANSUhEUgAAAYMAAAEZCAYAAAB1mUk3AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
-       "text": [
-        "<matplotlib.figure.Figure at 0x1164cf28>"
-       ]
-      }
-     ],
-     "prompt_number": 27
+     "prompt_number": 117
     }
    ],
    "metadata": {}
diff --git a/simpegseis/UtilsSeis.py b/simpegseis/UtilsSeis.py
index 43b71e2..080e5b7 100644
--- a/simpegseis/UtilsSeis.py
+++ b/simpegseis/UtilsSeis.py
@@ -5,7 +5,7 @@ def clipsign (value, clip):
   clipthese = abs(value) > clip
   return value * ~clipthese + np.sign(value)*clip*clipthese
 
-def wiggle (traces,skipt=1,scale=1.,lwidth=.1,offsets=None,redvel=0.,tshift=0.,sampr=1.,clip=10.,color='black',fill=True,line=True):
+def wiggle (traces, skipt=1,scale=1.,lwidth=.1,offsets=None,redvel=0., manthifts=None, tshift=0.,sampr=1.,clip=10., dx=1., color='black',fill=True,line=True, ax=None):
 
   ns = traces.shape[1]
   ntr = traces.shape[0]
@@ -14,6 +14,8 @@ def wiggle (traces,skipt=1,scale=1.,lwidth=.1,offsets=None,redvel=0.,tshift=0.,s
 
   if (offsets is not None):
     shifts = timereduce(offsets, redvel, tshift)
+  elif (manthifts is not None):
+    shifts = manthifts
   else:
     shifts = np.zeros((ntr,))
 
@@ -22,11 +24,32 @@ def wiggle (traces,skipt=1,scale=1.,lwidth=.1,offsets=None,redvel=0.,tshift=0.,s
     trace[0] = 0
     trace[-1] = 0
 
-    if (line):
-      plt.plot(i + clipsign(trace / scale, clip), t - shifts[i], color=color, linewidth=lwidth)
-    if (fill):
-      for j in range(ns):
-        if (trace[j] < 0):
-          trace[j] = 0
-      plt.fill(i + clipsign(trace / scale, clip), t - shifts[i], color=color, linewidth=0)
-  plt.grid(True)
+    if ax == None:
+      if (line):
+        plt.plot(i*dx + clipsign(trace / scale, clip), t - shifts[i], color=color, linewidth=lwidth)
+      if (fill):
+        for j in range(ns):
+          if (trace[j] < 0):
+            trace[j] = 0
+        plt.fill(i*dx + clipsign(trace / scale, clip), t - shifts[i], color=color, linewidth=0)
+    else:
+      if (line):
+        ax.plot(i*dx + clipsign(trace / scale, clip), t - shifts[i], color=color, linewidth=lwidth)
+      if (fill):
+        for j in range(ns):
+          if (trace[j] < 0):
+            trace[j] = 0
+        ax.fill(i*dx + clipsign(trace / scale, clip), t - shifts[i], color=color, linewidth=0)
+
+def PrimaryWave(x, velocity, tinterp):
+    return tinterp + 1./velocity*x
+
+def ReflectedWave(x, velocity, tinterp):
+    time = np.sqrt(x**2/velocity**2+tinterp**2)
+    return time
+
+
+
+
+
+