diff --git a/processing/post/spectral_post.py b/processing/post/spectral_post.py
deleted file mode 100644
index fcbb1c965..000000000
--- a/processing/post/spectral_post.py
+++ /dev/null
@@ -1,338 +0,0 @@
-#!/usr/bin/python
-# -*- coding: iso-8859-1 -*-
-
-# This script is used for the post processing of the results achieved by the spectral method.
-# As it reads in the data coming from "materialpoint_results", it can be adopted to the data
-# computed using the FEM solvers. Until now, its capable to handle elements with one IP in a regular order
-# written by M. Diehl, m.diehl@mpie.de
-
-import os,sys,re,array,struct,numpy, time, postprocessingMath, math
-
-class vector:
-  x,y,z = [None,None,None]
-  
-  def __init__(self,coords):
-    self.x = coords[0]
-    self.y = coords[1]
-    self.z = coords[2]
-
-class element:
-  items = []
-  type = None
-
-  def __init__(self,nodes,type):
-    self.items = nodes
-    self.type = type
-
-class element_scalar:
-  id = None
-  value = None
-
-  def __init__(self,node,value):
-    self.id = node
-    self.value = value
-
-
-class MPIEspectral_result:
-
-  file = None
-  dataOffset = 0
-  N_elemental_scalars = 0
-  resolution = [0,0,0]
-  dimension = [0.0,0.0,0.0]
-  theTitle = ''
-  wd = ''
-  extrapolate = ''
-  N_increments = 0
-  increment = 0
-  N_nodes = 0
-  N_node_scalars = 0
-  N_elements = 0
-  N_element_scalars = 0
-  N_element_tensors = 0
-  theNodes = []
-  theElements = []
-
-  def __init__(self,filename):
-
-    self.file = open(filename, 'rb')
-
-    self.title = self._keyedString('load')
-    self.wd = self._keyedString('workingdir')
-    self.geometry = self._keyedString('geometry')
-    self.N_increments =  self._keyedInt('increments')
-    self.N_element_scalars = self._keyedInt('materialpoint_sizeResults')
-    self.resolution = self._keyedPackedArray('resolution',3,'i')
-    self.N_nodes = (self.resolution[0]+1)*(self.resolution[1]+1)*(self.resolution[2]+1)
-    self.N_elements = self.resolution[0]*self.resolution[1]*self.resolution[2]
-    self.dimension = self._keyedPackedArray('dimension',3,'d')
-    a = self.resolution[0]+1
-    b = self.resolution[1]+1
-    c = self.resolution[2]+1
-    self.file.seek(0)
-    self.dataOffset = self.file.read(2048).find('eoh')+7
-
-
-  def __str__(self):
-    return '\n'.join([
-      'title: %s'%self.title,
-      'workdir: %s'%self.wd,
-      'extrapolation: %s'%self.extrapolate,
-      'increments: %i'%self.N_increments,
-      'increment: %i'%self.increment,
-      'nodes: %i'%self.N_nodes,
-      'resolution: %s'%(','.join(map(str,self.resolution))),
-      'dimension: %s'%(','.join(map(str,self.dimension))),
-      'elements: %i'%self.N_elements,
-      'nodal_scalars: %i'%self.N_node_scalars,
-      'elemental scalars: %i'%self.N_element_scalars,
-      'end of header: %i'%self.dataOffset,
-      ]
-    )
-
-  def _keyedPackedArray(self,identifier,length = 3,type = 'd'):
-    match = {'d': 8,'i': 4}
-    self.file.seek(0)
-    m = re.search('%s%s'%(identifier,'(.{%i})'%(match[type])*length),self.file.read(2048),re.DOTALL)
-    values = []
-    if m:
-      for i in m.groups():
-        values.append(struct.unpack(type,i)[0])
-    return values
-
-  def _keyedInt(self,identifier):
-    value = None
-    self.file.seek(0)
-    m = re.search('%s%s'%(identifier,'(.{4})'),self.file.read(2048),re.DOTALL)
-    if m:
-      value = struct.unpack('i',m.group(1))[0]
-    return value
-
-  def _keyedString(self,identifier):
-    value = None
-    self.file.seek(0)
-    m = re.search(r'(.{4})%s(.*?)\1'%identifier,self.file.read(2048),re.DOTALL)
-    if m:
-      value = m.group(2)
-    return value
-
-  def extrapolation(self,value):
-    self.extrapolate = value
-
-  def element_scalar(self,elem,idx):
-    self.file.seek(self.dataOffset+(self.increment*(4+self.N_elements*self.N_element_scalars*8+4) + 4+(elem*self.N_element_scalars + idx)*8))
-    value = struct.unpack('d',self.file.read(8))[0]
-    return [elemental_scalar(node,value) for node in self.theElements[elem].items]
-
-def readScalar(resolution,file,distance,startingPosition,offset):
-  currentPosition = startingPosition+offset*8+4 - distance*8 # we add distance later on
-  field = numpy.zeros([resolution[0],resolution[1],resolution[2]], 'd')
-  for z in range(0,resolution[2]):
-    for y in range(0,resolution[1]):
-      for x in range(0,resolution[0]):
-        currentPosition = currentPosition + distance*8
-        p.file.seek(currentPosition)
-        field[x][y][z]=struct.unpack('d',p.file.read(8))[0]
-  return field
-
-def readTensor(resolution,file,distance,startingPosition,offset):
-  currentPosition = startingPosition+offset*8+4 - distance*8 # we add distance later on
-  field = numpy.zeros([resolution[0],resolution[1],resolution[2],3,3], 'd')
-  for z in range(0,resolution[2]):
-    for y in range(0,resolution[1]):
-      for x in range(0,resolution[0]):
-        currentPosition = currentPosition + distance*8
-        p.file.seek(currentPosition)
-        for i in range(0,3):
-          for j in range(0,3):
-            field[x][y][z][i][j]=struct.unpack('d',p.file.read(8))[0]
-  return field
-
-#+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++   
-def calculateCauchyStress(p_stress,defgrad,res):
-#+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ 
-  c_stress = numpy.zeros([res[0],res[1],res[2],3,3],'d')
-  for z in range(res[2]):
-    for y in range(res[1]):
-      for x in range(res[0]):
-        jacobi =  numpy.linalg.det(defgrad[x,y,z])
-        c_stress[x,y,z] = numpy.dot(p_stress[x,y,z],numpy.transpose(defgrad[x,y,z]))/jacobi
-  return c_stress
-  
-
-# function writes scalar values to a mesh (geometry)
-def writeVtkAscii(filename,geometry,scalar,resolution):
-  prodnn=(p.resolution[0]+1)*(p.resolution[1]+1)*(p.resolution[2]+1)
-  vtk = open(filename, 'w')
-  vtk.write('# vtk DataFile Version 3.1\n') # header
-  vtk.write('just a test\n') # header
-  vtk.write('ASCII\n') # header
-  vtk.write('DATASET UNSTRUCTURED_GRID\n') # header
-  vtk.write('POINTS ') # header
-  vtk.write(str(prodnn)) # header
-  vtk.write(' FLOAT\n') # header
-
-# nodes
-  for k in range (resolution[2]+1):
-    for j in range (resolution[1]+1):
-      for i in range (resolution[0]+1):
-        vtk.write('\t'.join(map(str,geometry[i,j,k]))+'\n')
-  vtk.write('\n')
-  vtk.write('CELLS ')
-  vtk.write(str(resolution[0]*resolution[1]*resolution[2]))
-  vtk.write('\t')
-  vtk.write(str(resolution[0]*resolution[1]*resolution[2]*9))
-  vtk.write('\n')
-
-# elements
-  for i in range (resolution[2]):
-    for j in range (resolution[1]):
-      for k in range (resolution[0]):
-        vtk.write('8')
-        vtk.write('\t')
-        base = i*(resolution[1]+1)*(resolution[2]+1)+j*(resolution[1]+1)+k
-        vtk.write(str(base))
-        vtk.write('\t')
-        vtk.write(str(base+1))
-        vtk.write('\t')
-        vtk.write(str(base+resolution[1]+2))
-        vtk.write('\t')
-        vtk.write(str(base+resolution[1]+1))
-        vtk.write('\t')
-        base = base + (resolution[1]+1)*(resolution[2]+1)
-        vtk.write(str(base))
-        vtk.write('\t')
-        vtk.write(str(base+1))
-        vtk.write('\t')
-        vtk.write(str(base+resolution[1]+2))
-        vtk.write('\t')
-        vtk.write(str(base+resolution[1]+1))
-        vtk.write('\n')
-  vtk.write('\n')
-  vtk.write('CELL_TYPES ')
-  vtk.write('\t')
-  vtk.write(str(resolution[0]*resolution[1]*resolution[2]))
-  vtk.write('\n')
-  for i in range (resolution[0]*resolution[1]*resolution[2]):
-    vtk.write('12\n')
-  vtk.write('\nCELL_DATA ') # header
-  vtk.write(str(resolution[0]*resolution[1]*resolution[2])) # header
-  vtk.write('\n') # header
-  vtk.write('SCALARS HorizontalSpeed float\n') # header
-  vtk.write('LOOKUP_TABLE default\n') # header
-  for k in range (resolution[2]):
-    for j in range (resolution[1]):
-      for i in range (resolution[0]):
-        vtk.write(str(scalar[i,j,k]))
-        vtk.write('\n')
-  return
- 
-# function writes scalar values to a point field
-def writeVtkAsciiDots(filename,coordinates,scalar,resolution):
-  prodnn=(p.resolution[0])*(p.resolution[1])*(p.resolution[2])
-  vtk = open(filename, 'w')
-  vtk.write('# vtk DataFile Version 3.1\n') # header
-  vtk.write('just a test\n') # header
-  vtk.write('ASCII\n') # header
-  vtk.write('DATASET UNSTRUCTURED_GRID\n') # header
-  vtk.write('POINTS ') # header
-  vtk.write(str(prodnn)) # header
-  vtk.write(' FLOAT\n') # header
-# points
-  for k in range (resolution[2]):
-    for j in range (resolution[1]):
-      for i in range (resolution[0]):
-        vtk.write('\t'.join(map(str,coordinates[i,j,k]))+'\n')
-  vtk.write('\n')
-  vtk.write('CELLS ')
-  vtk.write(str(prodnn))
-  vtk.write('\t')
-  vtk.write(str(prodnn*2))
-  vtk.write('\n')
-  for i in range(prodnn):
-    vtk.write('1\t' + str(i) + '\n')
-  vtk.write('CELL_TYPES ')
-  vtk.write('\t')
-  vtk.write(str(prodnn))
-  vtk.write('\n')
-  for i in range (prodnn):
-    vtk.write('1\n') 
-  vtk.write('\nPOINT_DATA ') # header
-  vtk.write(str(prodnn)) # header
-  vtk.write('\n') # header
-  vtk.write('SCALARS HorizontalSpeed float\n') # header
-  vtk.write('LOOKUP_TABLE default\n') # header
-  for k in range (resolution[2]):
-    for j in range (resolution[1]):
-      for i in range (resolution[0]):
-        vtk.write(str(scalar[i,j,k]))
-        vtk.write('\n')
-  return
-  
-# functiongives the corner box for the average defgrad
-def writeVtkAsciidefgrad_av(filename,diag,defgrad):
-  
-  points = numpy.array([\
-   [0.0,0.0,0.0,],\
-   [diag[0],0.0,0.0,],\
-   [diag[0],diag[1],0.0,],\
-   [0.0,diag[1],0.0,],\
-   [0.0,0.0,diag[2],],\
-   [diag[0],0.0,diag[2],],\
-   [diag[0],diag[1],diag[2],],\
-   [0.0,diag[1],diag[2],]]\
-  )
-  vtk = open(filename, 'w')
-  vtk.write('# vtk DataFile Version 3.1\n') # header
-  vtk.write('just a test\n') # header
-  vtk.write('ASCII\n') # header
-  vtk.write('DATASET UNSTRUCTURED_GRID\n') # header
-  vtk.write('POINTS 8') # header
-  vtk.write(' FLOAT\n') # header
-
- # points
-  for p in range (8):
-    vtk.write('\t'.join(map(str,numpy.dot(defgrad_av,points[p])))+'\n')
-  vtk.write('\n')
-  vtk.write('CELLS 8 16\n')
-  vtk.write('\n'.join(['1\t%i'%i for i in range(8)])+'\n')
-  vtk.write('CELL_TYPES 8\n')
-  vtk.write('\n'.join(['1']*8)+'\n')
-  
-  return
-
-print '*********************************************************************************'
-print 'Post Processing for Material subroutine for BVP solution using spectral method'
-print '*********************************************************************************\n'
-
-#reading in the header of the results file
-name = 'dipl32_shear'
-p = MPIEspectral_result(name+'.spectralOut')
-p.extrapolation('')
-print p
-
-# Ended reading of header
-
-res_x=p.resolution[0]
-res_y=p.resolution[1]
-res_z=p.resolution[2]
-
-    
-ms=numpy.zeros([res_x,res_y,res_z,3], 'd')
-print 'data structure'
-for i in range(p.N_element_scalars):
-  c_pos = p.dataOffset + i*8.0 + 4.0
-  p.file.seek(c_pos)
-  print(i, struct.unpack('d',p.file.read(8)))
-
-for i in range(200,201): # define here the steps
-  c_pos = p.dataOffset + i*(p.N_element_scalars*8*p.N_elements + 8) #8 accounts for header&footer
-  defgrad = readTensor(p.resolution,p.file,p.N_element_scalars,c_pos,7) #define here the position of the deformation gradient
-  rotation = readTensor(p.resolution,p.file,p.N_element_scalars,c_pos,7) #define here the position of the tensor
-  defgrad_av = postprocessingMath.tensor_avg(res_x,res_y,res_z,defgrad)
-  centroids_coord = postprocessingMath.deformed_fft(res_x,res_y,res_z,p.dimension,defgrad,defgrad_av,1.0)
-  ms = postprocessingMath.mesh(p.resolution[0],p.resolution[1],p.resolution[2],p.dimension,defgrad_av,centroids_coord)
-  writeVtkAscii(name+'-mesh-fft-%s.vtk'%i,ms,defgrad[:,:,:,1,2],p.resolution)
-  sys.stdout.flush()
-
-
diff --git a/processing/post/spectral_post_single.py b/processing/post/spectral_post_single.py
deleted file mode 100644
index 4bab00158..000000000
--- a/processing/post/spectral_post_single.py
+++ /dev/null
@@ -1,368 +0,0 @@
-#!/usr/bin/python
-# -*- coding: iso-8859-1 -*-
-
-# This script is used for the post processing of the results achieved by the spectral method.
-# As it reads in the data coming from "materialpoint_results", it can be adopted to the data
-# computed using the FEM solvers. Until now, its capable to handle elements with one IP in a regular order
-# written by M. Diehl, m.diehl@mpie.de
-
-import os,sys,re,array,struct,numpy, time, postprocessingMath, math
-
-class vector:
-  x,y,z = [None,None,None]
-  
-  def __init__(self,coords):
-    self.x = coords[0]
-    self.y = coords[1]
-    self.z = coords[2]
-
-class element:
-  items = []
-  type = None
-
-  def __init__(self,nodes,type):
-    self.items = nodes
-    self.type = type
-
-class element_scalar:
-  id = None
-  value = None
-
-  def __init__(self,node,value):
-    self.id = node
-    self.value = value
-
-
-class MPIEspectral_result:
-
-  file = None
-  dataOffset = 0
-  N_elemental_scalars = 0
-  resolution = [0,0,0]
-  dimension = [0.0,0.0,0.0]
-  theTitle = ''
-  wd = ''
-  extrapolate = ''
-  N_increments = 0
-  increment = 0
-  N_nodes = 0
-  N_node_scalars = 0
-  N_elements = 0
-  N_element_scalars = 0
-  N_element_tensors = 0
-  theNodes = []
-  theElements = []
-
-  def __init__(self,filename):
-
-    self.file = open(filename, 'rb')
-
-    self.title = self._keyedString('load')
-    self.wd = self._keyedString('workingdir')
-    self.geometry = self._keyedString('geometry')
-    self.N_increments =  self._keyedInt('increments')
-    self.N_element_scalars = self._keyedInt('materialpoint_sizeResults')
-    self.resolution = self._keyedPackedArray('resolution',3,'i')
-    self.N_nodes = (self.resolution[0]+1)*(self.resolution[1]+1)*(self.resolution[2]+1)
-    self.N_elements = self.resolution[0]*self.resolution[1]*self.resolution[2]
-    self.dimension = self._keyedPackedArray('dimension',3,'f')
-    a = self.resolution[0]+1
-    b = self.resolution[1]+1
-    c = self.resolution[2]+1
-    self.file.seek(0)
-    self.dataOffset = self.file.read(2048).find('eoh')+7
-
-
-  def __str__(self):
-    return '\n'.join([
-      'title: %s'%self.title,
-      'workdir: %s'%self.wd,
-      'extrapolation: %s'%self.extrapolate,
-      'increments: %i'%self.N_increments,
-      'increment: %i'%self.increment,
-      'nodes: %i'%self.N_nodes,
-      'resolution: %s'%(','.join(map(str,self.resolution))),
-      'dimension: %s'%(','.join(map(str,self.dimension))),
-      'elements: %i'%self.N_elements,
-      'nodal_scalars: %i'%self.N_node_scalars,
-      'elemental scalars: %i'%self.N_element_scalars,
-      'end of header: %i'%self.dataOffset,
-      ]
-    )
-
-  def _keyedPackedArray(self,identifier,length = 3,type = 'f'):
-    match = {'f': 4,'i': 4}  #correct???
-    self.file.seek(0)
-    m = re.search('%s%s'%(identifier,'(.{%i})'%(match[type])*length),self.file.read(2048),re.DOTALL)
-    values = []
-    if m:
-      for i in m.groups():
-        values.append(struct.unpack(type,i)[0])
-    return values
-
-  def _keyedInt(self,identifier):
-    value = None
-    self.file.seek(0)
-    m = re.search('%s%s'%(identifier,'(.{4})'),self.file.read(2048),re.DOTALL)
-    if m:
-      value = struct.unpack('i',m.group(1))[0]
-    return value
-
-  def _keyedString(self,identifier):
-    value = None
-    self.file.seek(0)
-    m = re.search(r'(.{4})%s(.*?)\1'%identifier,self.file.read(2048),re.DOTALL)
-    if m:
-      value = m.group(2)
-    return value
-
-  def extrapolation(self,value):
-    self.extrapolate = value
-
-  def element_scalar(self,elem,idx):
-    self.file.seek(self.dataOffset+(self.increment*(4+self.N_elements*self.N_element_scalars*4+4) + 4+(elem*self.N_element_scalars + idx)*4))
-    value = struct.unpack('f',self.file.read(4))[0]
-    return [elemental_scalar(node,value) for node in self.theElements[elem].items]
-
-def readScalar(resolution,file,distance,startingPosition,offset):
-  currentPosition = startingPosition+offset*4+4 - distance*4 # we add distance later on
-  field = numpy.zeros([resolution[0],resolution[1],resolution[2]], 'f')
-  for z in range(0,resolution[2]):
-    for y in range(0,resolution[1]):
-      for x in range(0,resolution[0]):
-        currentPosition = currentPosition + distance*4
-        p.file.seek(currentPosition)
-        field[x][y][z]=struct.unpack('f',p.file.read(4))[0]
-  return field
-
-def readTensor(resolution,file,distance,startingPosition,offset):
-  currentPosition = startingPosition+offset*4+4 - distance*4 # we add distance later on
-  field = numpy.zeros([resolution[0],resolution[1],resolution[2],3,3], 'f')
-  for z in range(0,resolution[2]):
-    for y in range(0,resolution[1]):
-      for x in range(0,resolution[0]):
-        currentPosition = currentPosition + distance*4
-        p.file.seek(currentPosition)
-        for i in range(0,3):
-          for j in range(0,3):
-            field[x][y][z][i][j]=struct.unpack('f',p.file.read(4))[0]
-  return field
-
-#+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++   
-def calculateCauchyStress(p_stress,defgrad,res):
-#+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ 
-  c_stress = numpy.zeros([res[0],res[1],res[2],3,3],'f')
-  for z in range(res[2]):
-    for y in range(res[1]):
-      for x in range(res[0]):
-        jacobi =  numpy.linalg.det(defgrad[x,y,z])
-        c_stress[x,y,z] = numpy.dot(p_stress[x,y,z],numpy.transpose(defgrad[x,y,z]))/jacobi
-  return c_stress
-  
-
-# function writes scalar values to a mesh (geometry)
-def writeVtkAscii(filename,geometry,scalar,resolution):
-  prodnn=(p.resolution[0]+1)*(p.resolution[1]+1)*(p.resolution[2]+1)
-  vtk = open(filename, 'w')
-  vtk.write('# vtk DataFile Version 3.1\n') # header
-  vtk.write('just a test\n') # header
-  vtk.write('ASCII\n') # header
-  vtk.write('DATASET UNSTRUCTURED_GRID\n') # header
-  vtk.write('POINTS ') # header
-  vtk.write(str(prodnn)) # header
-  vtk.write(' FLOAT\n') # header
-
-# nodes
-  for k in range (resolution[2]+1):
-    for j in range (resolution[1]+1):
-      for i in range (resolution[0]+1):
-        vtk.write('\t'.join(map(str,geometry[i,j,k]))+'\n')
-  vtk.write('\n')
-  vtk.write('CELLS ')
-  vtk.write(str(resolution[0]*resolution[1]*resolution[2]))
-  vtk.write('\t')
-  vtk.write(str(resolution[0]*resolution[1]*resolution[2]*9))
-  vtk.write('\n')
-
-# elements
-  for i in range (resolution[2]):
-    for j in range (resolution[1]):
-      for k in range (resolution[0]):
-        vtk.write('8')
-        vtk.write('\t')
-        base = i*(resolution[1]+1)*(resolution[2]+1)+j*(resolution[1]+1)+k
-        vtk.write(str(base))
-        vtk.write('\t')
-        vtk.write(str(base+1))
-        vtk.write('\t')
-        vtk.write(str(base+resolution[1]+2))
-        vtk.write('\t')
-        vtk.write(str(base+resolution[1]+1))
-        vtk.write('\t')
-        base = base + (resolution[1]+1)*(resolution[2]+1)
-        vtk.write(str(base))
-        vtk.write('\t')
-        vtk.write(str(base+1))
-        vtk.write('\t')
-        vtk.write(str(base+resolution[1]+2))
-        vtk.write('\t')
-        vtk.write(str(base+resolution[1]+1))
-        vtk.write('\n')
-  vtk.write('\n')
-  vtk.write('CELL_TYPES ')
-  vtk.write('\t')
-  vtk.write(str(resolution[0]*resolution[1]*resolution[2]))
-  vtk.write('\n')
-  for i in range (resolution[0]*resolution[1]*resolution[2]):
-    vtk.write('12\n')
-  vtk.write('\nCELL_DATA ') # header
-  vtk.write(str(resolution[0]*resolution[1]*resolution[2])) # header
-  vtk.write('\n') # header
-  vtk.write('SCALARS HorizontalSpeed float\n') # header
-  vtk.write('LOOKUP_TABLE default\n') # header
-  for k in range (resolution[2]):
-    for j in range (resolution[1]):
-      for i in range (resolution[0]):
-        vtk.write(str(scalar[i,j,k]))
-        vtk.write('\n')
-  return
- 
-# function writes scalar values to a point field
-def writeVtkAsciiDots(filename,coordinates,scalar,resolution):
-  prodnn=(p.resolution[0])*(p.resolution[1])*(p.resolution[2])
-  vtk = open(filename, 'w')
-  vtk.write('# vtk DataFile Version 3.1\n') # header
-  vtk.write('just a test\n') # header
-  vtk.write('ASCII\n') # header
-  vtk.write('DATASET UNSTRUCTURED_GRID\n') # header
-  vtk.write('POINTS ') # header
-  vtk.write(str(prodnn)) # header
-  vtk.write(' FLOAT\n') # header
-# points
-  for k in range (resolution[2]):
-    for j in range (resolution[1]):
-      for i in range (resolution[0]):
-        vtk.write('\t'.join(map(str,coordinates[i,j,k]))+'\n')
-  vtk.write('\n')
-  vtk.write('CELLS ')
-  vtk.write(str(prodnn))
-  vtk.write('\t')
-  vtk.write(str(prodnn*2))
-  vtk.write('\n')
-  for i in range(prodnn):
-    vtk.write('1\t' + str(i) + '\n')
-  vtk.write('CELL_TYPES ')
-  vtk.write('\t')
-  vtk.write(str(prodnn))
-  vtk.write('\n')
-  for i in range (prodnn):
-    vtk.write('1\n') 
-  vtk.write('\nPOINT_DATA ') # header
-  vtk.write(str(prodnn)) # header
-  vtk.write('\n') # header
-  vtk.write('SCALARS HorizontalSpeed float\n') # header
-  vtk.write('LOOKUP_TABLE default\n') # header
-  for k in range (resolution[2]):
-    for j in range (resolution[1]):
-      for i in range (resolution[0]):
-        vtk.write(str(scalar[i,j,k]))
-        vtk.write('\n')
-  return
-  
-# functiongives the corner box for the average defgrad
-def writeVtkAsciidefgrad_av(filename,diag,defgrad):
-  
-  points = numpy.array([\
-   [0.0,0.0,0.0,],\
-   [diag[0],0.0,0.0,],\
-   [diag[0],diag[1],0.0,],\
-   [0.0,diag[1],0.0,],\
-   [0.0,0.0,diag[2],],\
-   [diag[0],0.0,diag[2],],\
-   [diag[0],diag[1],diag[2],],\
-   [0.0,diag[1],diag[2],]]\
-  )
-  vtk = open(filename, 'w')
-  vtk.write('# vtk DataFile Version 3.1\n') # header
-  vtk.write('just a test\n') # header
-  vtk.write('ASCII\n') # header
-  vtk.write('DATASET UNSTRUCTURED_GRID\n') # header
-  vtk.write('POINTS 8') # header
-  vtk.write(' FLOAT\n') # header
-
- # points
-  for p in range (8):
-    vtk.write('\t'.join(map(str,numpy.dot(defgrad_av,points[p])))+'\n')
-  vtk.write('\n')
-  vtk.write('CELLS 8 16\n')
-  vtk.write('\n'.join(['1\t%i'%i for i in range(8)])+'\n')
-  vtk.write('CELL_TYPES 8\n')
-  vtk.write('\n'.join(['1']*8)+'\n')
-  
-  return
-
-print '*********************************************************************************'
-print 'Post Processing for Material subroutine for BVP solution using spectral method'
-print '*********************************************************************************\n'
-
-#reading in the header of the results file
-name = 'dipl32_shear'
-p = MPIEspectral_result(name+'.spectralOut')
-p.extrapolation('')
-print p
-
-# Ended reading of header
-
-res_x=p.resolution[0]
-res_y=p.resolution[1]
-res_z=p.resolution[2]
-
-    
-ms=numpy.zeros([res_x,res_y,res_z,3], 'f')
-print 'data structure'
-for i in range(p.N_element_scalars):
-  c_pos = p.dataOffset + i*4.0 + 4.0
-  p.file.seek(c_pos)
-  print(i, struct.unpack('f',p.file.read(4)))
-for i in range(1,2):
-  c_pos = p.dataOffset + i*(p.N_element_scalars*4*p.N_elements + 8) 
-  defgrad = readTensor(p.resolution,p.file,p.N_element_scalars,c_pos,7)
-  defgrad_av = postprocessingMath.tensor_avg(res_x,res_y,res_z,defgrad)
-  centroids_coord = postprocessingMath.deformed(res_x,res_y,res_z,p.dimension,defgrad,defgrad_av)
-  undeformed = postprocessingMath.mesh(p.resolution[0],p.resolution[1],p.resolution[2],p.dimension,defgrad_av,centroids_coord)
-  #writeVtkAscii(name+'-mesh-undeformed.vtk',undeformed,defgrad[:,:,:,1,2],p.resolution)
-
-for i in range(240,241):
-  c_pos = p.dataOffset + i*(p.N_element_scalars*4*p.N_elements + 8) #8 accounts for header&footer
-  defgrad = readTensor(p.resolution,p.file,p.N_element_scalars,c_pos,7)
-  defgrad_av = postprocessingMath.tensor_avg(res_x,res_y,res_z,defgrad)
-  #defgrad = numpy.zeros([p.resolution[0],p.resolution[1],p.resolution[2],3,3], 'f')
-  #for z in range(p.resolution[2]):
-  #   defgrad[:,:,z,1,2] = (2.0*z)/(p.resolution[2]-1.0)+ 3.8*math.sin(z*20.0/(p.resolution[2]-1.0)*2*math.pi)
-  #   defgrad[:,:,z,0,2] = (2.0*z)/(p.resolution[2]-1.0)+ 5.0*math.cos(z/(p.resolution[2]-1.0)*2*math.pi)
-  #defgrad[:,:,:,0,0] = 1.0
-  #defgrad[:,:,:,1,1] = 1.0
-  #defgrad[:,:,:,2,2] = 1.0
-  #logstrain = postprocessingMath.logstrain_mat(res_x,res_y,res_z,defgrad)  
-  #logstrain2 = postprocessingMath.logstrain_spat(res_x,res_y,res_z,defgrad)
-  #p_stress = readTensor(p.resolution,p.file,p.N_element_scalars,c_pos,52)         
-  #c_stress = postprocessingMath.calculate_cauchy(res_x,res_y,res_z,defgrad,p_stress)
-  #vm = postprocessingMath.calculate_mises(res_x,res_y,res_z,c_stress)
-  #defgrad_av = postprocessingMath.tensor_avg(res_x,res_y,res_z,defgrad)
-  #subroutine inverse_reconstruction(res_x,res_y,res_z,reference_configuration,current_configuration,defgrad)
-  centroids_coord = postprocessingMath.deformed(res_x,res_y,res_z,p.dimension,defgrad,defgrad_av)
-  deformed = postprocessingMath.mesh(p.resolution[0],p.resolution[1],p.resolution[2],p.dimension,defgrad_av,centroids_coord)
-  #writeVtkAscii(name+'-mesh-deformed.vtk',deformed,defgrad[:,:,:,1,2],p.resolution)
-  defgrad = postprocessingMath.inverse_reconstruction(res_x,res_y,res_z,undeformed,deformed)
-  defgrad_av = postprocessingMath.tensor_avg(res_x,res_y,res_z,defgrad)
-  centroids_coord = postprocessingMath.deformed(res_x,res_y,res_z,p.dimension,defgrad,defgrad_av)
-  centroids_coord2 = postprocessingMath.deformed_fft(res_x,res_y,res_z,p.dimension,defgrad,defgrad_av,1.0)
-  ms = postprocessingMath.mesh(p.resolution[0],p.resolution[1],p.resolution[2],p.dimension,defgrad_av,centroids_coord)
-  ms2 = postprocessingMath.mesh(p.resolution[0],p.resolution[1],p.resolution[2],p.dimension,defgrad_av,centroids_coord2)
-  writeVtkAscii(name+'-mesh-usual-%s.vtk'%i,ms,defgrad[:,:,:,1,2],p.resolution)
-  writeVtkAscii(name+'-mesh-fft-%s.vtk'%i,ms2,defgrad[:,:,:,1,2],p.resolution)
-  #writeVtkAsciidefgrad_av(name+'-box-%i.vtk'%i,p.dimension,defgrad_av)
-  #writeVtkAsciiDots(name+'-points-%i.vtk'%i,centroids_coord,grain,p.resolution)
-  sys.stdout.flush()
-
-