Inverse.py 文件源码

def Inversion_SD(Bsca,Babs,wavelength,dp,ndp,nMin=1,nMax=3,kMin=0,kMax=1,scatteringPrecision=0.001,absorptionPrecision=0.001,spaceSize=40,interp=2):
  dp = coerceDType(dp)
  ndp = coerceDType(ndp)

  nRange = np.linspace(nMin,nMax,spaceSize)
  kRange = np.linspace(kMin,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 = fastMie_SD(n+(1j*k),wavelength,dp,ndp)
      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(Bsca*(1-scatteringPrecision)<scaSpace, scaSpace<Bsca*(1+scatteringPrecision)))
  absSolutions = np.where(np.logical_and(Babs*(1-absorptionPrecision)<absSpace, absSpace<Babs*(1+absorptionPrecision)))

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

  return np.intersect1d(validScattering,validAbsorption)