implemented a function that generates all grids for FMTOMO
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@ -381,6 +381,34 @@ class SeisArray(object):
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return surface
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def generateFMTOMOinputFromArray(self, nRP, nThetaP, nPhiP, nRI, nThetaI, nPhiI,
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Rbt, cushionfactor, interpolationMethod = 'linear',
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customgrid = 'mygrid.in'):
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print('\n------------------------------------------------------------')
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print('Automatically generating input for FMTOMO from array size.')
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print('Propgrid: nR = %s, nTheta = %s, nPhi = %s'%(nRP, nThetaP, nPhiP))
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print('Interpolation Grid and Interfaces Grid: nR = %s, nTheta = %s, nPhi = %s'%(nRI, nThetaI, nPhiI))
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print('Bottom and Top of model: (%s, %s)'%(Rbt[0], Rbt[1]))
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print('Method: %s, customgrid = %s'%(interpolationMethod, customgrid))
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print('------------------------------------------------------------')
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def getZmin(surface):
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z = []
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for point in surface:
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z.append(point[2])
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return min(z)
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self.generatePropgrid(nThetaP, nPhiP, nRP, Rbt, cushionpropgrid = 0.05)
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surface = self.generateVgrid(nThetaI, nPhiI, nRI, Rbt, method = interpolationMethod,
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cushionfactor = cushionfactor, infilename = customgrid,
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returnTopo = True)
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depthmax = abs(Rbt[0] - getZmin(surface)) - 1.0 # cushioning for the bottom interface
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self.generateInterfaces(nThetaI, nPhiI, depthmax, cushionfactor = cushionfactor,
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returnInterfaces = False, method = interpolationMethod)
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def generateInterfaces(self, nTheta, nPhi, depthmax, cushionfactor = 0.1,
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outfilename = 'interfaces.in', method = 'linear',
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returnInterfaces = False):
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@ -398,6 +426,9 @@ class SeisArray(object):
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:param: cushionfactor, add some extra space to the model (default: 0.1 = 10%)
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type: float
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'''
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print('\n------------------------------------------------------------')
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print('Generating interfaces...')
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nInterfaces = 2
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# generate dimensions of the grid from array
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@ -436,6 +467,9 @@ class SeisArray(object):
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if returnInterfaces == True:
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return interface1, interface2
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print('Finished generating interfaces.')
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print('------------------------------------------------------------')
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def getThetaPhiFromArray(self, cushionfactor = 0.1):
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'''
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Determine and returns PhiWE (tuple: (West, East)) and thetaSN (tuple (South, North)) from the SeisArray boundaries.
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@ -466,7 +500,7 @@ class SeisArray(object):
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:param: nR, number of points in R
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type: int
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:param: Rbt (bot, top) extensions of the model in km
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:param: Rbt (bot, top) extensions of the model in m
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type: tuple
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:param: cushionpropogrid, cushionfactor for the propagationgrid (cushion direction
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@ -478,6 +512,13 @@ class SeisArray(object):
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'''
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outfile = open(outfilename, 'w')
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print('\n------------------------------------------------------------')
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print('Generating Propagation Grid for nTheta = %s, nPhi'
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' = %s, nR = %s and a cushioning of %s'
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%(nTheta, nPhi, nR, cushionpropgrid))
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print('Bottom of the grid: %s, top of the grid %s'
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%(Rbt[0], Rbt[1]))
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thetaSN, phiWE = self.getThetaPhiFromArray(cushionfactor = 0)
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thetaS = thetaSN[0] + cushionpropgrid
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@ -498,10 +539,13 @@ class SeisArray(object):
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outfile.close()
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def generateVgrid(self, nTheta = 80, nPhi = 80, nR = 120,
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Rbt = (-62.0, 6.0), thetaSN = None,
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phiWE = None, outfilename = 'vgrids.in',
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method = 'linear', infilename = 'mygrid.in'):
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print('Created Propagation Grid and saved it to %s' %outfilename)
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print('------------------------------------------------------------')
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def generateVgrid(self, nTheta, nPhi, nR, Rbt, thetaSN = None,
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phiWE = None, cushionfactor = 0.1,
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outfilename = 'vgrids.in', method = 'linear',
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infilename = 'mygrid.in', returnTopo = False):
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'''
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Generate a velocity grid for fmtomo regarding topography with a linear gradient starting at the topography with 0.34 [km/s].
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@ -520,7 +564,7 @@ class SeisArray(object):
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:param: phiWE (W, E) extensions of the model in degree
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type: tuple
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:param: Rbt (bot, top) extensions of the model in km
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:param: Rbt (bot, top) extensions of the model in m
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type: tuple
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:param: vbot, velocity at the bottom of the model
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@ -529,6 +573,8 @@ class SeisArray(object):
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:param: method, interpolation method for topography
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type: str
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'''
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print('\n------------------------------------------------------------')
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print('generateVgrid: Starting...')
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# def getRad(angle):
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# PI = np.pi
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@ -547,6 +593,7 @@ class SeisArray(object):
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infile = open(filename, 'r')
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nlayers = readMygridNlayers(filename)
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print('\nreadMygrid: Reading file %s.'%filename)
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for index in range(nlayers):
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line1 = infile.readline()
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line2 = infile.readline()
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@ -554,6 +601,10 @@ class SeisArray(object):
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vtop.append(float(line1.split()[1]))
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zbot.append(float(line2.split()[0]))
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vbot.append(float(line2.split()[1]))
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print('Layer %s:\n[Top: v = %s [km/s], z = %s [m]]'
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'\n[Bot: v = %s [km/s], z = %s [m]]'
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%(index + 1, vtop[index], ztop[index],
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vbot[index], zbot[index]))
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if not ztop[0] == 0:
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print('ERROR: there must be a velocity set for z = 0 in the file %s'%filename)
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@ -569,7 +620,7 @@ class SeisArray(object):
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# generate dimensions of the grid from array
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if thetaSN is None and phiWE is None:
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thetaSN, phiWE = self.getThetaPhiFromArray()
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thetaSN, phiWE = self.getThetaPhiFromArray(cushionfactor)
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thetaS, thetaN = thetaSN
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phiW, phiE = phiWE
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@ -597,15 +648,15 @@ class SeisArray(object):
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surface = self.interpolateTopography(nTheta, nPhi, thetaSN, phiWE, method = method)
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nlayers = readMygridNlayers(infilename)
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ztop, zbot, vtop, vbot = readMygrid(infilename)
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print("\nGenerating velocity grid for FMTOMO. "
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"Output filename = %s, interpolation method = %s"%(outfilename, method))
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print("nTheta = %s, nPhi = %s, nR = %s, "
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"thetaSN = %s, phiWE = %s, Rbt = %s"%(nTheta, nPhi, nR, thetaSN, phiWE, Rbt))
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count = 0
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nlayers = readMygridNlayers(infilename)
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ztop, zbot, vtop, vbot = readMygrid(infilename)
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for radius in rGrid:
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for theta in thetaGrid:
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for phi in phiGrid:
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@ -636,9 +687,13 @@ class SeisArray(object):
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progress = float(count) / float(nTotal) * 100
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self._update_progress(progress)
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print('Wrote %d points to file %s for %d layers'%(count, outfilename, nlayers))
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print('\nWrote %d points to file %s for %d layers'%(count, outfilename, nlayers))
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print('------------------------------------------------------------')
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outfile.close()
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if returnTopo == True:
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return surface
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def addCheckerboard(self, spacing = 20., pertubation = 0.1, inputfile = 'vgrids.in', outputfile = 'vgrids_cb.in'):
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'''
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Add a checkerboard to an existing vgrids.in velocity model.
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