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Generalize the DC2D HTML movie maker.
Create example for 2 sphere problem
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D Fournier committed
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@@ -0,0 +1,217 @@
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import os
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from SimPEG import np, sp, Utils, Mesh, mkvc
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import simpegDCIP as DC
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import pylab as plt
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#from ipywidgets import interact, IntSlider
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from matplotlib import animation
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from JSAnimation import HTMLWriter
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import time
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import re
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from readUBC_DC2DMesh import readUBC_DC2DMesh
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from readUBC_DC2DModel import readUBC_DC2DModel
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from readUBC_DC2DLoc import readUBC_DC2DLoc
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from convertObs_DC3D_to_2D import convertObs_DC3D_to_2D
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from readUBC_DC3Dobs import readUBC_DC3Dobs
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#%%
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home_dir = 'C:\\Users\\dominiquef.MIRAGEOSCIENCE\\ownCloud\\Research\\Modelling\\Synthetic\\Two_Sphere'
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msh_file = 'Mesh_2D.msh'
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mod_file = 'Model_2D.con'
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obs_file = 'FWR_data3D.dat'
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dsep = '\\'
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# Forward solver
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slvr = 'BiCGStab' #'LU'
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# Preconditioner
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pcdr = 'Jacobi'#'Gauss-Seidel'#
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# Number of padding cells to remove from plotting
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padc = 15
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# Load UBC mesh 2D
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mesh = readUBC_DC2DMesh(home_dir + dsep + msh_file)
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# Load model
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model = readUBC_DC2DModel(home_dir + dsep + mod_file)
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# load obs file
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[Tx,Rx,d,wd] = readUBC_DC3Dobs(home_dir + dsep + obs_file)
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[Tx, Rx] = convertObs_DC3D_to_2D(Tx,Rx)
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#%% Create system
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#Set boundary conditions
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mesh.setCellGradBC('neumann')
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Div = mesh.faceDiv
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Grad = mesh.cellGrad
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Msig = Utils.sdiag(1./(mesh.aveF2CC.T*(1./model)))
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A = Div*Msig*Grad
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# Change one corner to deal with nullspace
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A[0,0] = 1
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A = sp.csc_matrix(A)
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start_time = time.time()
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if re.match(slvr,'BiCGStab'):
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# Create Jacobi Preconditioner
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if re.match(pcdr,'Jacobi'):
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dA = A.diagonal()
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P = sp.spdiags(1/dA,0,A.shape[0],A.shape[0])
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# Create Gauss-Seidel Preconditioner
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elif re.match(pcdr,'Gauss-Seidel'):
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LD = sp.tril(A,k=0)
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#LDinv = sp.linalg.splu(LD)
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elif re.match(slvr,'LU'):
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# Factor A matrix
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Ainv = sp.linalg.splu(A)
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print("LU DECOMP--- %s seconds ---" % (time.time() - start_time))
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#%% Create SimPEG objects
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# Create sub-mesh for plotting
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hx = mesh.hx
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hy = mesh.hy
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hx_sub = hx[padc:-padc]
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hy_sub = hy[padc:]
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mesh_sub = Mesh.TensorMesh([hx_sub,hy_sub],(mesh.vectorNx[padc], mesh.vectorNy[padc]))
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model_sub = model.reshape(mesh.nCy,mesh.nCx)
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model_sub = mkvc(model_sub[padc:,padc:-padc].T)
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xx = mesh_sub.vectorCCx
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yy = mesh_sub.vectorCCy
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#%% Solve
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#txii = range(50,1950,100)
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#jx_CC_sub = np.zeros((len(txii),mesh_sub.nCx,mesh_sub.nCy))
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#jy_CC_sub = np.zeros((len(txii),mesh_sub.nCx,mesh_sub.nCy))
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fig = plt.figure(figsize=(10,5))
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axs = plt.axes(ylim = (yy[0],yy[-1]+mesh.hy[-1]*2), xlim = (xx[0],xx[-1]))#
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plt.tight_layout(pad=0.4, w_pad=0.5, h_pad=1.0)
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plt.ylim(yy[0],yy[-1]+mesh.hy[-1]*2)
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plt.xlim(xx[0],xx[-1])
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#im1 = axs.pcolormesh([],[],[], alpha=0.75,extent = (xx[0],xx[-1],yy[-1],yy[0]),interpolation='nearest',vmin=-1e-2, vmax=1e-2)
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#im2 = axs.pcolormesh([],[],[],alpha=0.2,extent = (xx[0],xx[-1],yy[-1],yy[0]),interpolation='nearest',cmap='gray')
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im1 = axs.pcolormesh(mesh_sub.vectorCCx,mesh_sub.vectorCCy,np.zeros((mesh_sub.nCy,mesh_sub.nCx)), alpha=0.75,vmin=-1e-2, vmax=1e-2)
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im2 = axs.pcolormesh(mesh_sub.vectorCCx,mesh_sub.vectorCCy,np.zeros((mesh_sub.nCy,mesh_sub.nCx)), alpha=0.75,vmin=-1e-2, vmax=1e-2)
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im3 = axs.streamplot(xx, yy, np.zeros((mesh_sub.nCy,mesh_sub.nCx)), np.zeros((mesh_sub.nCy,mesh_sub.nCx)),color='k')
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im4 = axs.scatter([],[], c='r', s=200)
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im5 = axs.scatter([],[], c='r', s=200)
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#==============================================================================
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# def init():
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# im1.set_data([[],[],[]])
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# im2.set_data([[],[],[]])
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#
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# return [im1]+[im2]
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#==============================================================================
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def animate(ii):
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#for ii in range(len(txii)):
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removeStream()
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tx = np.asarray(np.c_[Tx[ii],np.ones(Tx[ii].shape[0])*mesh.vectorNy[-1]-1])
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inds = Utils.closestPoints(mesh, tx )
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RHS = mesh.getInterpolationMat( tx , 'CC').T*( [-1,1] / mesh.vol[inds] )
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if re.match(slvr,'BiCGStab'):
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if re.match(pcdr,'Jacobi'):
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dA = A.diagonal()
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P = sp.spdiags(1/dA,0,A.shape[0],A.shape[0])
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# Iterative Solve
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phi = sp.linalg.bicgstab(P*A,P*RHS, tol=1e-5)
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phi = mkvc(phi[0])
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elif re.match(slvr,'LU'):
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#Direct Solve
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phi = Ainv.solve(RHS)
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j = -Msig*Grad*phi
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j_CC = mesh.aveF2CCV*j
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# Compute charge density solving div*grad*phi
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Q = -mesh.faceDiv*mesh.cellGrad*phi
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jx_CC = j_CC[0:mesh.nC].reshape(mesh.nCy,mesh.nCx)
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jy_CC = j_CC[mesh.nC:].reshape(mesh.nCy,mesh.nCx)
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#%% Grab only the core for presentation
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jx_CC_sub = jx_CC[padc:,padc:-padc]
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jy_CC_sub = jy_CC[padc:,padc:-padc]
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Q_sub = Q.reshape(mesh.nCy,mesh.nCx)
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Q_sub = Q_sub[padc:,padc:-padc]
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J_rho = np.sqrt(jx_CC_sub**2 + jy_CC_sub**2)
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lw = np.log10(J_rho/J_rho.min())
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#axs.imshow(Q_sub,alpha=0.75,extent = (xx[0],xx[-1],yy[-1],yy[0]),interpolation='nearest',vmin=-1e-2, vmax=1e-2)
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#axs.imshow(np.log10(model_sub.reshape(mesh_sub.nCy,mesh_sub.nCx)),alpha=0.2,extent = (xx[0],xx[-1],yy[-1],yy[0]),interpolation='nearest',cmap='gray')
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global im1
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im1 = axs.pcolormesh(mesh_sub.vectorCCx,mesh_sub.vectorCCy,Q_sub, alpha=0.75,vmin=-1e-2, vmax=1e-2)
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global im2
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im2 = axs.pcolormesh(mesh_sub.vectorCCx,mesh_sub.vectorCCy,np.log10(model_sub.reshape(mesh_sub.nCy,mesh_sub.nCx)), alpha=0.25)
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global im3
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im3 = axs.streamplot(xx, yy, jx_CC_sub, jy_CC_sub,color='k',linewidth = lw,density=0.5)
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global im4
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im4 = axs.scatter(tx[0,0],mesh.vectorNy[-1], c='r', s=75, marker='v' )
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global im5
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im5 = axs.scatter(tx[1,0],mesh.vectorNy[-1], c='b', s=75, marker='v' )
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#plt.show()
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#im1.set_array(Q_sub)
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#im2.set_array(np.log10(model_sub.reshape(mesh_sub.nCy,mesh_sub.nCx)))
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#im2.set_array(mesh_sub.vectorCCx, mesh_sub.vectorCCy,jx_CC_sub.T,jy_CC_sub.T)
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#return [im1] + [im2]
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#%% Create widget
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def removeStream():
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global im1
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im1.remove()
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global im2
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im2.remove()
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global im3
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im3.lines.remove()
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axs.patches = []
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global im4
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im4.remove()
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global im5
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im5.remove()
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#def viewInv(msh,iteration):
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#, linewidth=lw.T
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#%%
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#interact(viewInv,msh = mesh_sub, iteration = IntSlider(min=0, max=len(txii)-1 ,step=1, value=0))
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# set embed_frames=True to embed base64-encoded frames directly in the HTML
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anim = animation.FuncAnimation(fig, animate,
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frames=len(Tx), interval=5)
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anim.save(home_dir + '\\animation.html', writer=HTMLWriter(embed_frames=True))
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@@ -1,139 +0,0 @@
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import os
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home_dir = 'C:\Users\dominiquef.MIRAGEOSCIENCE\Documents\GIT\SimPEG\simpegdc\simpegDCIP\Dev'
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os.chdir(home_dir)
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#%%
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from SimPEG import np, Utils, Mesh, mkvc, SolverLU
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import simpegDCIP as DC
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import pylab as plt
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#from ipywidgets import interact, IntSlider
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from matplotlib import animation
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from JSAnimation import HTMLWriter
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from readUBC_DC2DMesh import readUBC_DC2DMesh
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from readUBC_DC2DModel import readUBC_DC2DModel
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from readUBC_DC2DLoc import readUBC_DC2DLoc
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# Number of padding cells to remove from plotting
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padc = 16
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# Load UBC mesh 2D
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mesh = readUBC_DC2DMesh('mesh2d_fine.txt')
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# Load model
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model = readUBC_DC2DModel('model2d_fine.con')
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# load obs file
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[txLoc,rxLoc,d,wd] = readUBC_DC2DLoc('obs2d_East.loc')
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# Create SimPEG objects
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rx = DC.RxDipole(rxLoc[:,0], rxLoc[:,1])
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#tx = DC.SrcDipole([rx],txLoc[200,0],txLoc[200,1])
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# Create sub-mesh for plotting
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hx = mesh.hx
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hy = mesh.hy
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hx_sub = hx[padc:-padc]
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hy_sub = hy[padc:]
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mesh_sub = Mesh.TensorMesh([hx_sub,hy_sub],(hx_sub[0], -sum(hy_sub)))
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model_sub = model.reshape(mesh.nCy,mesh.nCx)
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model_sub = mkvc(model_sub[padc:,padc:-padc].T)
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xx = mesh_sub.vectorCCx
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yy = mesh_sub.vectorCCy
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#%% Solve
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txii = range(50,1950,100)
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#jx_CC_sub = np.zeros((len(txii),mesh_sub.nCx,mesh_sub.nCy))
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#jy_CC_sub = np.zeros((len(txii),mesh_sub.nCx,mesh_sub.nCy))
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fig = plt.figure(figsize=(10,5))
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axs = plt.axes(ylim=(-800,50), xlim=(25,2000))
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plt.tight_layout(pad=0.4, w_pad=0.5, h_pad=1.0)
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im1 = axs.imshow([[],[]], alpha=0.75,extent = (xx[0],xx[-1],yy[-1],yy[0]),interpolation='nearest',vmin=-1e-2, vmax=1e-2)
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im2 = axs.imshow([[],[]],alpha=0.2,extent = (xx[0],xx[-1],yy[-1],yy[0]),interpolation='nearest',cmap='gray')
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im3 = axs.streamplot(mesh_sub.vectorCCx, mesh_sub.vectorCCy, np.zeros((mesh_sub.nCy,mesh_sub.nCx)), np.zeros((mesh_sub.nCy,mesh_sub.nCx)),color='k')
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im4 = axs.scatter([],[], c='r', s=200)
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def init():
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im1.set_data([[],[]])
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im2.set_data([[],[]])
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return [im1]+[im2]
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def animate(ii):
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#for ii in range(len(txii)):
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removeStream()
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tx = DC.SrcDipole([rx],txii[ii],txii[ii])
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survey = DC.SurveyDC([tx])
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problem = DC.ProblemDC_CC(mesh)
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problem.pair(survey)
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problem.Solver = SolverLU
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u1 = problem.fields(model)
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Msig1 = Utils.sdiag(1./(mesh.aveF2CC.T*(1./model)))
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j = -Msig1*mesh.cellGrad*u1[tx, 'phi_sol']
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j_CC = mesh.aveF2CCV*j
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# Compute charge density solving div*grad*phi
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Q = -mesh.faceDiv*mesh.cellGrad*u1[tx, 'phi_sol']
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jx_CC = j_CC[0:mesh.nC].reshape(mesh.nCy,mesh.nCx).T
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jy_CC = j_CC[mesh.nC:].reshape(mesh.nCy,mesh.nCx).T
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#%% Grab only the core for presentation
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jx_CC_sub = jx_CC[padc:-padc,padc:]
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jy_CC_sub = jy_CC[padc:-padc,padc:]
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Q_sub = Q.reshape(mesh.nCy,mesh.nCx)
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Q_sub = Q_sub[padc:,padc:-padc]
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J_rho = np.sqrt(jx_CC_sub**2 + jy_CC_sub**2)
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lw = np.log10(J_rho/J_rho.min())
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#axs.imshow(Q_sub,alpha=0.75,extent = (xx[0],xx[-1],yy[-1],yy[0]),interpolation='nearest',vmin=-1e-2, vmax=1e-2)
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#axs.imshow(np.log10(model_sub.reshape(mesh_sub.nCy,mesh_sub.nCx)),alpha=0.2,extent = (xx[0],xx[-1],yy[-1],yy[0]),interpolation='nearest',cmap='gray')
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global im3
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im3 = axs.streamplot(mesh_sub.vectorCCx, mesh_sub.vectorCCy, jx_CC_sub.T, jy_CC_sub.T,color='k',linewidth = lw.T,density=1.25)
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global im4
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im4 = axs.scatter(txii[ii],10, c='r', s=60, marker='+' )
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#plt.show()
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im1.set_array(Q_sub)
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im2.set_array(np.log10(model_sub.reshape(mesh_sub.nCy,mesh_sub.nCx)))
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#im2.set_array(mesh_sub.vectorCCx, mesh_sub.vectorCCy,jx_CC_sub.T,jy_CC_sub.T)
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return [im1] + [im2]
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#%% Create widget
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def removeStream():
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global im3
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im3.lines.remove()
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axs.patches = []
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global im4
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im4.remove()
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#def viewInv(msh,iteration):
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#, linewidth=lw.T
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#%%
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#interact(viewInv,msh = mesh_sub, iteration = IntSlider(min=0, max=len(txii)-1 ,step=1, value=0))
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# set embed_frames=True to embed base64-encoded frames directly in the HTML
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anim = animation.FuncAnimation(fig, animate, init_func=init,
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frames=len(txii), interval=10)
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anim.save('animation.html', writer=HTMLWriter(embed_frames=True))
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@@ -43,7 +43,7 @@ dsep = '\\'
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#from scipy.linalg import solve_banded
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# Load UBC mesh 3D
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mesh = Utils.meshutils.readUBCTensorMesh(home_dir + '\Mesh_10m.msh')
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mesh = Utils.meshutils.readUBCTensorMesh(home_dir + '\Mesh_5m.msh')
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#mesh = Utils.meshutils.readUBCTensorMesh(home_dir + '\MtIsa_20m.msh')
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#mesh = Utils.meshutils.readUBCTensorMesh(home_dir + '\Mesh_50m.msh')
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@@ -74,6 +74,9 @@ flr = 1e-4
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chifact = 100
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ref_mod = 1e-2
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# DOI threshold
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cutoff = 0.8
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#%% Create system
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#Set boundary conditions
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mesh.setCellGradBC('neumann')
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@@ -276,7 +279,7 @@ if not re.match(stype,'gradient'):
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# m3D = np.reshape(model, (mesh.nCz, mesh.nCy, mesh.nCx))
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# m2D = m3D[:,1,:]
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#==============================================================================
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#%%
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plt.figure()
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axs = plt.subplot(1,1,1)
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@@ -284,8 +287,8 @@ if not re.match(stype,'gradient'):
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plt.ylim([mesh2d.vectorNy[-1]-dl_len/2,mesh2d.vectorNy[-1]+2*dx])
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plt.gca().set_aspect('equal', adjustable='box')
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circle1=plt.Circle((150,1500),50,color='w',fill=False, lw=3)
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circle2=plt.Circle((325,1500),50,color='k',fill=False, lw=3)
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circle1=plt.Circle((144,1500),50,color='w',fill=False, lw=3)
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circle2=plt.Circle((344,1500),50,color='k',fill=False, lw=3)
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axs.add_artist(circle1)
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axs.add_artist(circle2)
|
||||
plt.pcolormesh(mesh2d.vectorNx,mesh2d.vectorNy,np.log10(m2D))#axes = [mesh2d.vectorNx[0],mesh2d.vectorNx[-1],mesh2d.vectorNy[0],mesh2d.vectorNy[-1]])
|
||||
@@ -307,66 +310,130 @@ if not re.match(stype,'gradient'):
|
||||
plt.ylim([mesh2d.vectorNy[-1]-dl_len/2,mesh2d.vectorNy[-1]+2*dx])
|
||||
plt.gca().set_aspect('equal', adjustable='box')
|
||||
|
||||
circle1=plt.Circle((150,1500),50,color='w',fill=False, lw=3)
|
||||
circle2=plt.Circle((325,1500),50,color='k',fill=False, lw=3)
|
||||
circle1=plt.Circle((144,1500),50,color='w',fill=False, lw=3)
|
||||
circle2=plt.Circle((344,1500),50,color='k',fill=False, lw=3)
|
||||
axs.add_artist(circle1)
|
||||
axs.add_artist(circle2)
|
||||
|
||||
plot_pseudoSection(Tx2d,Rx2d,data,nz[-1],stype)
|
||||
plt.show()
|
||||
|
||||
#%% Create dcin2d inversion files and run
|
||||
inv_dir = home_dir + '\Inv2D'
|
||||
if not os.path.exists(inv_dir):
|
||||
os.makedirs(inv_dir)
|
||||
#%% Run two inversions with different reference models and compute a DOI
|
||||
|
||||
invmod = []
|
||||
refmod = []
|
||||
plt.figure()
|
||||
|
||||
for jj in range(2):
|
||||
|
||||
# Create dcin2d inversion files and run
|
||||
inv_dir = home_dir + '\Inv2D'
|
||||
if not os.path.exists(inv_dir):
|
||||
os.makedirs(inv_dir)
|
||||
|
||||
mshfile2d = 'Mesh_2D.msh'
|
||||
modfile2d = 'Model_2D.con'
|
||||
obsfile2d = 'FWR_3D_2_2D.dat'
|
||||
inp_file = 'dcinv2d.inp'
|
||||
|
||||
mshfile2d = 'Mesh_2D.msh'
|
||||
modfile2d = 'MtIsa_2D.con'
|
||||
obsfile2d = 'FWR_3D_2_2D.dat'
|
||||
inp_file = 'dcinv2d.inp'
|
||||
|
||||
# Export 2D mesh
|
||||
fid = open(inv_dir + dsep + mshfile2d,'w')
|
||||
fid.write('%i\n'% mesh2d.nCx)
|
||||
fid.write('%f %f 1\n'% (mesh2d.vectorNx[0],mesh2d.vectorNx[1]))
|
||||
np.savetxt(fid, np.c_[mesh2d.vectorNx[2:],np.ones(mesh2d.nCx-1)], fmt='\t %e %i',delimiter=' ',newline='\n')
|
||||
fid.write('\n')
|
||||
fid.write('%i\n'% mesh2d.nCy)
|
||||
fid.write('%f %f 1\n'%( 0,mesh2d.hy[-1]))
|
||||
np.savetxt(fid, np.c_[np.cumsum(mesh2d.hy[-2::-1])+mesh2d.hy[-1],np.ones(mesh2d.nCy-1)], fmt='\t %e %i',delimiter=' ',newline='\n')
|
||||
fid.close()
|
||||
|
||||
# Export 2D model
|
||||
fid = open(inv_dir + dsep + modfile2d,'w')
|
||||
fid.write('%i %i\n'% (mesh2d.nCx,mesh2d.nCy))
|
||||
np.savetxt(fid, mkvc(m2D[::-1,:].T), fmt='%e',delimiter=' ',newline='\n')
|
||||
fid.close()
|
||||
|
||||
# Export data file
|
||||
writeUBC_DCobs(inv_dir + dsep + obsfile2d,Tx2d,Rx2d,data,unct,'2D')
|
||||
|
||||
# Write input file
|
||||
fid = open(inv_dir + dsep + inp_file,'w')
|
||||
fid.write('OBS LOC_X %s \n'% obsfile2d)
|
||||
fid.write('MESH FILE %s \n'% mshfile2d)
|
||||
fid.write('CHIFACT 1 %f\n'% chifact)
|
||||
fid.write('TOPO DEFAULT %s \n')
|
||||
fid.write('INIT_MOD DEFAULT\n')
|
||||
fid.write('REF_MOD VALUE %e\n'% (ref_mod*(jj+1)))
|
||||
fid.write('ALPHA DEFAULT\n')
|
||||
fid.write('WEIGHT DEFAULT\n')
|
||||
fid.write('STORE_ALL_MODELS FALSE\n')
|
||||
fid.write('INVMODE SVD\n')
|
||||
fid.write('USE_MREF TRUE\n')
|
||||
fid.close()
|
||||
|
||||
os.chdir(inv_dir)
|
||||
os.system('dcinv2d ' + inp_file)
|
||||
|
||||
|
||||
#Load model
|
||||
minv = readUBC_DC2DModel(inv_dir + dsep + 'dcinv2d.con')
|
||||
|
||||
axs = plt.subplot(2,1,jj+1)
|
||||
|
||||
plt.xlim([-dx,nc*dx+dx])
|
||||
plt.ylim([mesh2d.vectorNy[-1]-dl_len/2,mesh2d.vectorNy[-1]+2*dx])
|
||||
plt.gca().set_aspect('equal', adjustable='box')
|
||||
|
||||
minv = np.reshape(minv,(mesh2d.nCy,mesh2d.nCx))
|
||||
#plt.pcolormesh(mesh2d.vectorNx,mesh2d.vectorNy,np.log10(m2D),alpha=0.5, cmap='gray')
|
||||
|
||||
circle1=plt.Circle((144,1500),50,color='w',fill=False, lw=3)
|
||||
circle2=plt.Circle((344,1500),50,color='k',fill=False, lw=3)
|
||||
axs.add_artist(circle1)
|
||||
axs.add_artist(circle2)
|
||||
|
||||
|
||||
axp = plt.pcolormesh(mesh2d.vectorNx,mesh2d.vectorNy,np.log10(minv),alpha=1,vmin = -2.25, vmax = -1.5)
|
||||
|
||||
plt.show()
|
||||
|
||||
if jj == 1:
|
||||
|
||||
plt.ylabel('(b)',rotation=360)
|
||||
plt.xlabel('Distance (m)')
|
||||
|
||||
else:
|
||||
plt.ylabel('(a)',rotation=360)
|
||||
|
||||
|
||||
cbar = plt.colorbar(format = '%.2f',fraction=0.05,orientation='vertical',pad=0.02)
|
||||
cmin,cmax = cbar.get_clim()
|
||||
ticks = np.linspace(cmin,cmax,3)
|
||||
cbar.set_ticks(ticks)
|
||||
#cbar.set_ticklabels('%.2f')
|
||||
|
||||
invmod.append(minv)
|
||||
refmod.append(ref_mod*(jj+1))
|
||||
|
||||
#%% Compute DOI
|
||||
DOI = np.abs(invmod[0] - invmod[1]) / np.abs(refmod[0] - refmod[1])
|
||||
# Normalize between [0 1]
|
||||
DOI = DOI - np.min(DOI)
|
||||
DOI = (1.- DOI/np.max(DOI))
|
||||
DOI[DOI > cutoff] = 1
|
||||
|
||||
plt.figure()
|
||||
plt.xlim([-dx,nc*dx+dx])
|
||||
plt.ylim([mesh2d.vectorNy[-1]-dl_len/2,mesh2d.vectorNy[-1]+2*dx])
|
||||
plt.gca().set_aspect('equal', adjustable='box')
|
||||
|
||||
# Export 2D mesh
|
||||
fid = open(inv_dir + dsep + mshfile2d,'w')
|
||||
fid.write('%i\n'% mesh2d.nCx)
|
||||
fid.write('%f %f 1\n'% (mesh2d.vectorNx[0],mesh2d.vectorNx[1]))
|
||||
np.savetxt(fid, np.c_[mesh2d.vectorNx[2:],np.ones(mesh2d.nCx-1)], fmt='\t %e %i',delimiter=' ',newline='\n')
|
||||
fid.write('\n')
|
||||
fid.write('%i\n'% mesh2d.nCy)
|
||||
fid.write('%f %f 1\n'%( 0,mesh2d.hy[-1]))
|
||||
np.savetxt(fid, np.c_[np.cumsum(mesh2d.hy[-2::-1])+mesh2d.hy[-1],np.ones(mesh2d.nCy-1)], fmt='\t %e %i',delimiter=' ',newline='\n')
|
||||
fid.close()
|
||||
plt.pcolormesh(mesh2d.vectorNx,mesh2d.vectorNy,DOI,alpha=1)
|
||||
cbar = plt.colorbar(format = '%.2f',fraction=0.02)
|
||||
|
||||
# Export 2D model
|
||||
fid = open(inv_dir + dsep + modfile2d,'w')
|
||||
fid.write('%i %i\n'% (mesh2d.nCx,mesh2d.nCy))
|
||||
np.savetxt(fid, mkvc(m2D[::-1,:].T), fmt='%e',delimiter=' ',newline='\n')
|
||||
fid.close()
|
||||
|
||||
# Export data file
|
||||
writeUBC_DCobs(inv_dir + dsep + obsfile2d,Tx2d,Rx2d,data,unct,'2D')
|
||||
|
||||
# Write input file
|
||||
fid = open(inv_dir + dsep + inp_file,'w')
|
||||
fid.write('OBS LOC_X %s \n'% obsfile2d)
|
||||
fid.write('MESH FILE %s \n'% mshfile2d)
|
||||
fid.write('CHIFACT 1 %f\n'% chifact)
|
||||
fid.write('TOPO DEFAULT %s \n')
|
||||
fid.write('INIT_MOD DEFAULT\n')
|
||||
fid.write('REF_MOD VALUE %e\n'% ref_mod)
|
||||
fid.write('ALPHA DEFAULT\n')
|
||||
fid.write('WEIGHT DEFAULT\n')
|
||||
fid.write('STORE_ALL_MODELS FALSE\n')
|
||||
fid.write('INVMODE SVD\n')
|
||||
fid.write('USE_MREF TRUE\n')
|
||||
fid.close()
|
||||
|
||||
os.chdir(inv_dir)
|
||||
os.system('dcinv2d ' + inp_file)
|
||||
|
||||
#%%
|
||||
#Load model
|
||||
minv = readUBC_DC2DModel(inv_dir + dsep + 'dcinv2d.con')
|
||||
#%% Replace alpha values from inversion
|
||||
#rgba_plt = axp.get_facecolor()
|
||||
#rgba_plt[:,3] = mkvc(DOI)/2
|
||||
plt.figure()
|
||||
axs = plt.subplot(1,1,1)
|
||||
|
||||
@@ -374,22 +441,20 @@ if not re.match(stype,'gradient'):
|
||||
plt.ylim([mesh2d.vectorNy[-1]-dl_len/2,mesh2d.vectorNy[-1]+2*dx])
|
||||
plt.gca().set_aspect('equal', adjustable='box')
|
||||
|
||||
minv = np.reshape(minv,(mesh2d.nCy,mesh2d.nCx))
|
||||
#plt.pcolormesh(mesh2d.vectorNx,mesh2d.vectorNy,np.log10(m2D),alpha=0.5, cmap='gray')
|
||||
|
||||
circle1=plt.Circle((150,1500),50,color='w',fill=False, lw=3)
|
||||
circle2=plt.Circle((325,1500),50,color='k',fill=False, lw=3)
|
||||
circle1=plt.Circle((144,1500),50,color='w',fill=False, lw=3)
|
||||
circle2=plt.Circle((344,1500),50,color='k',fill=False, lw=3)
|
||||
axs.add_artist(circle1)
|
||||
axs.add_artist(circle2)
|
||||
|
||||
axp = plt.pcolormesh(mesh2d.vectorNx,mesh2d.vectorNy,np.log10(minv),alpha=1,vmin = np.min(np.log10(minv)), vmax = np.max(np.log10(minv)))
|
||||
#t = [-3, -2, -1]
|
||||
axs = plt.pcolor(mesh2d.vectorNx,mesh2d.vectorNy,np.log10(invmod[0]),edgecolor="none")
|
||||
plt.draw()
|
||||
cbar = plt.colorbar(format = '%.2f',fraction=0.02)
|
||||
cmin,cmax = cbar.get_clim()
|
||||
ticks = np.linspace(cmin,cmax,3)
|
||||
cbar.set_ticks(ticks)
|
||||
#cbar.set_ticklabels('%.2f')
|
||||
|
||||
aa = axs.get_facecolors()
|
||||
aa[:,3] = mkvc(DOI.T)
|
||||
axs.set_facecolor(aa)
|
||||
|
||||
plt.draw()
|
||||
|
||||
#%% Othrwise it is a gradient array, plot surface of apparent resisitivty
|
||||
elif re.match(stype,'gradient'):
|
||||
|
||||
|
||||
@@ -37,29 +37,30 @@ from gen_DCIPsurvey import gen_DCIPsurvey
|
||||
from convertObs_DC3D_to_2D import convertObs_DC3D_to_2D
|
||||
import os
|
||||
|
||||
home_dir = 'C:\\Users\\dominiquef.MIRAGEOSCIENCE\\ownCloud\\Research\\Modelling\\Synthetic\\Two_Sphere'
|
||||
#home_dir = 'C:\\Users\\dominiquef.MIRAGEOSCIENCE\\ownCloud\\Research\\Modelling\\Synthetic\\Two_Sphere'
|
||||
home_dir ='C:\\LC\Private\\dominiquef\\Projects\\4414_Minsim\\Model'
|
||||
dsep = '\\'
|
||||
#from scipy.linalg import solve_banded
|
||||
|
||||
# Load UBC mesh 3D
|
||||
mesh = Utils.meshutils.readUBCTensorMesh(home_dir + '\Mesh_10m.msh')
|
||||
#mesh = Utils.meshutils.readUBCTensorMesh(home_dir + '\Mesh_10m.msh')
|
||||
#mesh = Utils.meshutils.readUBCTensorMesh(home_dir + '\MtIsa_20m.msh')
|
||||
#mesh = Utils.meshutils.readUBCTensorMesh(home_dir + '\Mesh_50m.msh')
|
||||
mesh = Utils.meshutils.readUBCTensorMesh(home_dir + '\Mesh_50m.msh')
|
||||
|
||||
# Load model
|
||||
#model = Utils.meshutils.readUBCTensorModel(home_dir + '\MtIsa_3D.con',mesh)
|
||||
#model = Utils.meshutils.readUBCTensorModel(home_dir + '\Synthetic.con',mesh)
|
||||
#model = Utils.meshutils.readUBCTensorModel(home_dir + '\Lalor_model_50m.con',mesh)
|
||||
model = Utils.meshutils.readUBCTensorModel(home_dir + '\TwoSpheres.con',mesh)
|
||||
model = Utils.meshutils.readUBCTensorModel(home_dir + '\Lalor_model_50m.con',mesh)
|
||||
#model = Utils.meshutils.readUBCTensorModel(home_dir + '\TwoSpheres.con',mesh)
|
||||
|
||||
#model = model**0 * 1e-2
|
||||
# Specify survey type
|
||||
stype = 'dpdp'
|
||||
stype = 'pdp'
|
||||
|
||||
# Survey parameters
|
||||
a = 30
|
||||
b = 30
|
||||
n = 20
|
||||
a = 150
|
||||
b = 150
|
||||
n = 40
|
||||
|
||||
# Forward solver
|
||||
slvr = 'BiCGStab' #'LU'
|
||||
@@ -71,7 +72,7 @@ pcdr = 'Jacobi'#'Gauss-Seidel'#
|
||||
pct = 0.01
|
||||
flr = 1e-4
|
||||
chifact = 100
|
||||
ref_mod = 1e-2
|
||||
ref_mod = 1e-3
|
||||
|
||||
#%% Create system
|
||||
#Set boundary conditions
|
||||
@@ -112,8 +113,8 @@ top = int(mesh.nCz)-1
|
||||
plt.figure()
|
||||
ax_prim = plt.subplot(1,1,1)
|
||||
mesh.plotSlice(model, ind=top, normal='Z', grid=False, pcolorOpts={'alpha':0.5}, ax =ax_prim)
|
||||
plt.xlim([423000,424000])
|
||||
plt.ylim([546200,547000])
|
||||
#plt.xlim([423000,424000])
|
||||
#plt.ylim([546200,547000])
|
||||
plt.gca().set_aspect('equal', adjustable='box')
|
||||
|
||||
plt.show()
|
||||
@@ -129,7 +130,7 @@ plt.sca(ax_prim)
|
||||
|
||||
# Takes two points from ginput and create survey
|
||||
#if re.match(stype,'gradient'):
|
||||
# gin = [(423187. , 546311.), (423867. , 546991.)]
|
||||
#gin = [(425347, 6079766), (427792, 6081806)]
|
||||
#else:
|
||||
gin = plt.ginput(2, timeout = 0)
|
||||
|
||||
@@ -280,7 +281,7 @@ if not re.match(stype,'gradient'):
|
||||
axs = plt.subplot(2,1,1)
|
||||
|
||||
plt.xlim([0,nc*dx])
|
||||
plt.ylim([mesh2d.vectorNy[-1]-dl_len/2,mesh2d.vectorNy[-1]])
|
||||
plt.ylim([mesh2d.vectorNy[-1]-dl_len,mesh2d.vectorNy[-1]])
|
||||
plt.gca().set_aspect('equal', adjustable='box')
|
||||
|
||||
plt.pcolormesh(mesh2d.vectorNx,mesh2d.vectorNy,np.log10(m2D),alpha=0.5, cmap='gray')#axes = [mesh2d.vectorNx[0],mesh2d.vectorNx[-1],mesh2d.vectorNy[0],mesh2d.vectorNy[-1]])
|
||||
@@ -348,27 +349,29 @@ if not re.match(stype,'gradient'):
|
||||
axs = plt.subplot(2,1,2)
|
||||
|
||||
plt.xlim([0,nc*dx])
|
||||
plt.ylim([mesh2d.vectorNy[-1]-dl_len/2,mesh2d.vectorNy[-1]])
|
||||
plt.ylim([mesh2d.vectorNy[-1]-dl_len,mesh2d.vectorNy[-1]])
|
||||
plt.gca().set_aspect('equal', adjustable='box')
|
||||
|
||||
minv = np.reshape(minv,(mesh2d.nCy,mesh2d.nCx))
|
||||
plt.pcolormesh(mesh2d.vectorNx,mesh2d.vectorNy,np.log10(m2D),alpha=0.5, cmap='gray')
|
||||
plt.pcolormesh(mesh2d.vectorNx,mesh2d.vectorNy,np.log10(minv),alpha=0.5, clim=(np.min(np.log10(m2D)),np.max(np.log10(m2D))))
|
||||
plt.colorbar
|
||||
|
||||
cbar = plt.colorbar(format = '%.2f',fraction=0.02)
|
||||
cmin,cmax = cbar.get_clim()
|
||||
ticks = np.linspace(cmin,cmax,3)
|
||||
cbar.set_ticks(ticks)
|
||||
|
||||
#%% Othrwise it is a gradient array, plot surface of apparent resisitivty
|
||||
elif re.match(stype,'gradient'):
|
||||
|
||||
rC1P1 = np.sqrt( np.sum( (npm.repmat(Tx[0][0:2,0],Rx[0].shape[0], 1) - Rx[0][:,0:2])**2, axis=1 ))
|
||||
rC2P1 = np.sqrt( np.sum( (npm.repmat(Tx[0][0:2,1],Rx[0].shape[0], 1) - Rx[0][:,0:2])**2, axis=1 ))
|
||||
rC1P2 = np.sqrt( np.sum( (npm.repmat(Tx[0][0:2,1],Rx[0].shape[0], 1) - Rx[0][:,3:5])**2, axis=1 ))
|
||||
rC2P2 = np.sqrt( np.sum( (npm.repmat(Tx[0][0:2,0],Rx[0].shape[0], 1) - Rx[0][:,3:5])**2, axis=1 ))
|
||||
rC1P2 = np.sqrt( np.sum( (npm.repmat(Tx[0][0:2,0],Rx[0].shape[0], 1) - Rx[0][:,3:5])**2, axis=1 ))
|
||||
rC2P2 = np.sqrt( np.sum( (npm.repmat(Tx[0][0:2,1],Rx[0].shape[0], 1) - Rx[0][:,3:5])**2, axis=1 ))
|
||||
|
||||
rC1C2 = np.sqrt( np.sum( (npm.repmat(Tx[0][0:2,0]-Tx[0][0:2,1],Rx[0].shape[0], 1) )**2, axis=1 ))
|
||||
rP1P2 = np.sqrt( np.sum( (Rx[0][:,0:2] - Rx[0][:,3:5])**2, axis=1 ))
|
||||
|
||||
rho = np.abs(data[0]) * np.pi *((rC1P1)**2 / rP1P2)#/ ( 1/rC1P1 - 1/rC2P1 - 1/rC1P2 + 1/rC2P2 )
|
||||
rho = np.abs(data[0]) *np.pi *2. / ( 1/rC1P1 - 1/rC2P1 - 1/rC1P2 + 1/rC2P2 )#*((rC1P1)**2 / rP1P2)#
|
||||
|
||||
Pmid = (Rx[0][:,0:2] + Rx[0][:,3:5])/2
|
||||
|
||||
@@ -378,7 +381,10 @@ elif re.match(stype,'gradient'):
|
||||
|
||||
|
||||
#plt.subplot(2,1,2)
|
||||
plt.figure()
|
||||
plt.imshow(grid_rho.T, extent = (np.min(grid_x),np.max(grid_x),np.min(grid_z),np.max(grid_z)) ,origin='lower')
|
||||
|
||||
var = 'Gradient Array - a-spacing: ' + str(a) + ' m'
|
||||
plt.title(var)
|
||||
plt.colorbar()
|
||||
plt.contour(grid_x,grid_z,grid_rho, colors='k')
|
||||
@@ -0,0 +1,191 @@
|
||||
|
||||
<script language="javascript">
|
||||
/* Define the Animation class */
|
||||
function Animation(frames, img_id, slider_id, interval, loop_select_id){
|
||||
this.img_id = img_id;
|
||||
this.slider_id = slider_id;
|
||||
this.loop_select_id = loop_select_id;
|
||||
this.interval = interval;
|
||||
this.current_frame = 0;
|
||||
this.direction = 0;
|
||||
this.timer = null;
|
||||
this.frames = new Array(frames.length);
|
||||
|
||||
for (var i=0; i<frames.length; i++)
|
||||
{
|
||||
this.frames[i] = new Image();
|
||||
this.frames[i].src = frames[i];
|
||||
}
|
||||
document.getElementById(this.slider_id).max = this.frames.length - 1;
|
||||
this.set_frame(this.current_frame);
|
||||
}
|
||||
|
||||
Animation.prototype.get_loop_state = function(){
|
||||
var button_group = document[this.loop_select_id].state;
|
||||
for (var i = 0; i < button_group.length; i++) {
|
||||
var button = button_group[i];
|
||||
if (button.checked) {
|
||||
return button.value;
|
||||
}
|
||||
}
|
||||
return undefined;
|
||||
}
|
||||
|
||||
Animation.prototype.set_frame = function(frame){
|
||||
this.current_frame = frame;
|
||||
document.getElementById(this.img_id).src = this.frames[this.current_frame].src;
|
||||
document.getElementById(this.slider_id).value = this.current_frame;
|
||||
}
|
||||
|
||||
Animation.prototype.next_frame = function()
|
||||
{
|
||||
this.set_frame(Math.min(this.frames.length - 1, this.current_frame + 1));
|
||||
}
|
||||
|
||||
Animation.prototype.previous_frame = function()
|
||||
{
|
||||
this.set_frame(Math.max(0, this.current_frame - 1));
|
||||
}
|
||||
|
||||
Animation.prototype.first_frame = function()
|
||||
{
|
||||
this.set_frame(0);
|
||||
}
|
||||
|
||||
Animation.prototype.last_frame = function()
|
||||
{
|
||||
this.set_frame(this.frames.length - 1);
|
||||
}
|
||||
|
||||
Animation.prototype.slower = function()
|
||||
{
|
||||
this.interval /= 0.7;
|
||||
if(this.direction > 0){this.play_animation();}
|
||||
else if(this.direction < 0){this.reverse_animation();}
|
||||
}
|
||||
|
||||
Animation.prototype.faster = function()
|
||||
{
|
||||
this.interval *= 0.7;
|
||||
if(this.direction > 0){this.play_animation();}
|
||||
else if(this.direction < 0){this.reverse_animation();}
|
||||
}
|
||||
|
||||
Animation.prototype.anim_step_forward = function()
|
||||
{
|
||||
this.current_frame += 1;
|
||||
if(this.current_frame < this.frames.length){
|
||||
this.set_frame(this.current_frame);
|
||||
}else{
|
||||
var loop_state = this.get_loop_state();
|
||||
if(loop_state == "loop"){
|
||||
this.first_frame();
|
||||
}else if(loop_state == "reflect"){
|
||||
this.last_frame();
|
||||
this.reverse_animation();
|
||||
}else{
|
||||
this.pause_animation();
|
||||
this.last_frame();
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
Animation.prototype.anim_step_reverse = function()
|
||||
{
|
||||
this.current_frame -= 1;
|
||||
if(this.current_frame >= 0){
|
||||
this.set_frame(this.current_frame);
|
||||
}else{
|
||||
var loop_state = this.get_loop_state();
|
||||
if(loop_state == "loop"){
|
||||
this.last_frame();
|
||||
}else if(loop_state == "reflect"){
|
||||
this.first_frame();
|
||||
this.play_animation();
|
||||
}else{
|
||||
this.pause_animation();
|
||||
this.first_frame();
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
Animation.prototype.pause_animation = function()
|
||||
{
|
||||
this.direction = 0;
|
||||
if (this.timer){
|
||||
clearInterval(this.timer);
|
||||
this.timer = null;
|
||||
}
|
||||
}
|
||||
|
||||
Animation.prototype.play_animation = function()
|
||||
{
|
||||
this.pause_animation();
|
||||
this.direction = 1;
|
||||
var t = this;
|
||||
if (!this.timer) this.timer = setInterval(function(){t.anim_step_forward();}, this.interval);
|
||||
}
|
||||
|
||||
Animation.prototype.reverse_animation = function()
|
||||
{
|
||||
this.pause_animation();
|
||||
this.direction = -1;
|
||||
var t = this;
|
||||
if (!this.timer) this.timer = setInterval(function(){t.anim_step_reverse();}, this.interval);
|
||||
}
|
||||
</script>
|
||||
|
||||
<div class="animation" align="center">
|
||||
<img id="_anim_imgBYBDWVXULSOEHXUW">
|
||||
<br>
|
||||
<input id="_anim_sliderBYBDWVXULSOEHXUW" type="range" style="width:350px" name="points" min="0" max="1" step="1" value="0" onchange="animBYBDWVXULSOEHXUW.set_frame(parseInt(this.value));"></input>
|
||||
<br>
|
||||
<button onclick="animBYBDWVXULSOEHXUW.slower()">–</button>
|
||||
<button onclick="animBYBDWVXULSOEHXUW.first_frame()"><img class="anim_icon" src="data:image/png;base64,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"></button>
|
||||
<button onclick="animBYBDWVXULSOEHXUW.previous_frame()"><img class="anim_icon" src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABQAAAAUCAQAAAAngNWGAAAAAXNSR0IArs4c6QAAAAJiS0dEAP+Hj8y/AAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH3QURCAgyTCyQ6wAAANRJREFUKM9jYBjO4AiUfgzFGGAp4+yayUvX6jMwMDCsYmBgOCS4OAOrSYmMgcc8/pd5Q3irC+Neh/1AlmeBMVgZmP8yMLD8/c/cqv9r90whzv/MX7Eq/MfAwMDIwCuZdfSV8U8WDgZGRmYGrAoZGRgY/jO8b3sj/J2F6T8j4z80pzEhmIwMjAxsSbqqlkeZGP//Z8SlkJnhPwMjwx/Guoe1NhmRwk+YGH5jV8jOwMPHzcDBysAwh8FrxQwtPU99HrwBXsnAwMDAsJiBgYGBoZ1xmKYqALHhMpn1o7igAAAAAElFTkSuQmCC"></button>
|
||||
<button onclick="animBYBDWVXULSOEHXUW.reverse_animation()"><img class="anim_icon" src="data:image/png;base64,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"></button>
|
||||
<button onclick="animBYBDWVXULSOEHXUW.pause_animation()"><img class="anim_icon" src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABQAAAAUCAQAAAAngNWGAAAAAXNSR0IArs4c6QAAAAJiS0dEAP+Hj8y/AAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH3QURCAkR91DQ2AAAAKtJREFUKM9jYCANTEVib2K4jcRbzQihGWEC00JuNjN8Z2Q0Zo3VYWA4lL005venH9+c3ZK5IfIsMIXMBtc12Bj+MMgxMDAwMPzWe2TBzPCf4SLcZCYY4/9/RgZGBiaYFf8gljFhKiQERhUOeoX/Gf8y/GX4y/APmlj+Mfxj+MfwH64Qnnq0zr9fyfLrPzP3eQYGBobvk5x4GX4xMIij23gdib0cRWYHiVmAAQDK5ircshCbHQAAAABJRU5ErkJggg=="></button>
|
||||
<button onclick="animBYBDWVXULSOEHXUW.play_animation()"><img class="anim_icon" src="data:image/png;base64,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"></button>
|
||||
<button onclick="animBYBDWVXULSOEHXUW.next_frame()"><img class="anim_icon" src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABQAAAAUCAQAAAAngNWGAAAAAXNSR0IArs4c6QAAAAJiS0dEAP+Hj8y/AAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH3QURCAkd/uac8wAAAMhJREFUKM9jYBie4DEUQ8B+fEq3+3UrMzAwMFxjYGBgYJizYubaOUxYFUaXh/6vWfRfEMIL/+//P5gZJoei4/f/7wxnY1PeNUXdE2RgYGZgYoCrY2BBVsjKwMDAwvCS4f3SG/dXxm5gYESSQ1HIwvCPgZmB8f8Pxv+Kxxb/YfiPJIdi9T8GJgaG/38ZFd4Fx0xUYsZt4h8GBgb2D2bLy7KnMTAwMEIxFoVCXIYr1IoDnkF4XAysqNIwUMDAwMDAsADKS2NkGL4AAIARMlfNIfZMAAAAAElFTkSuQmCC"></button>
|
||||
<button onclick="animBYBDWVXULSOEHXUW.last_frame()"><img class="anim_icon" src="data:image/png;base64,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"></button>
|
||||
<button onclick="animBYBDWVXULSOEHXUW.faster()">+</button>
|
||||
<form action="#n" name="_anim_loop_selectBYBDWVXULSOEHXUW" class="anim_control">
|
||||
<input type="radio" name="state" value="once" > Once </input>
|
||||
<input type="radio" name="state" value="loop" checked> Loop </input>
|
||||
<input type="radio" name="state" value="reflect" > Reflect </input>
|
||||
</form>
|
||||
</div>
|
||||
|
||||
|
||||
<script language="javascript">
|
||||
/* Instantiate the Animation class. */
|
||||
/* The IDs given should match those used in the template above. */
|
||||
(function() {
|
||||
var img_id = "_anim_imgBYBDWVXULSOEHXUW";
|
||||
var slider_id = "_anim_sliderBYBDWVXULSOEHXUW";
|
||||
var loop_select_id = "_anim_loop_selectBYBDWVXULSOEHXUW";
|
||||
var frames = new Array(0);
|
||||
|
||||
frames[0] = 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truncated
|
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truncated
|
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||||
frames[12] = "data:image/png;base64,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 truncated
|
||||
frames[13] = "data:image/png;base64,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 truncated
|
||||
|
||||
|
||||
/* set a timeout to make sure all the above elements are created before
|
||||
the object is initialized. */
|
||||
setTimeout(function() {
|
||||
animBYBDWVXULSOEHXUW = new Animation(frames, img_id, slider_id, 33, loop_select_id);
|
||||
}, 0);
|
||||
})()
|
||||
</script>
|
||||
File renamed without changes.
File renamed without changes.
File renamed without changes.
File renamed without changes.
File renamed without changes.
@@ -35,7 +35,13 @@ def readUBC_DC2DModel(fileName):
|
||||
model = model[:,::-1]
|
||||
|
||||
else:
|
||||
mm = np.array(obsfile[1:].split(),dtype=float)
|
||||
|
||||
if len(obsfile[1:])==1:
|
||||
mm = np.array(obsfile[1:].split(),dtype=float)
|
||||
|
||||
else:
|
||||
mm = np.array(obsfile[1:],dtype=float)
|
||||
|
||||
# Permute the second dimension to flip the order
|
||||
model = mm.reshape(dim[1],dim[0])
|
||||
|
||||
File renamed without changes.
File renamed without changes.
Reference in new issue
Block a user