Inverse.py 文件源码

def Inversion(Qsca,Qabs,wavelength,diameter,nMin=1,nMax=3,kMin=0.001,kMax=1,scatteringPrecision=0.010,absorptionPrecision=0.010,spaceSize=120,interp=2):
  error = lambda measured,calculated: np.abs((calculated-measured)/measured)

  nRange = np.linspace(nMin,nMax,spaceSize)
  kRange = np.logspace(np.log10(kMin),np.log10(kMax),spaceSize)
  scaSpace = np.zeros((spaceSize,spaceSize))
  absSpace = np.zeros((spaceSize,spaceSize))

  for ni,n in enumerate(nRange):
    for ki,k in enumerate(kRange):
      _derp = fastMieQ(n+(1j*k),wavelength,diameter)
      scaSpace[ni][ki] = _derp[0]
      absSpace[ni][ki] = _derp[1]
  if interp is not None:
    nRange = zoom(nRange,interp)
    kRange = zoom(kRange,interp)
    scaSpace = zoom(scaSpace,interp)
    absSpace = zoom(absSpace,interp)

  scaSolutions = np.where(np.logical_and(Qsca*(1-scatteringPrecision)<scaSpace, scaSpace<Qsca*(1+scatteringPrecision)))
  absSolutions = np.where(np.logical_and(Qabs*(1-absorptionPrecision)<absSpace, absSpace<Qabs*(1+absorptionPrecision)))

  validScattering = nRange[scaSolutions[0]]+1j*kRange[scaSolutions[1]]
  validAbsorption = nRange[absSolutions[0]]+1j*kRange[absSolutions[1]]

  solution = np.intersect1d(validScattering,validAbsorption)
#  errors = [error()]

  return solution