docstr: Normalized microscopic anisotropy.
  
  Returns
  -------
  c_mu : numpy.ndarray
  
  Notes
  -----
  Normalized microscopic anisotropy is calculated as
  
      .. math::
  
          C_\mu = rac{3}{2} rac{\langle \mathbf{D} \otimes \mathbf{D}
          
  angle : \mathbb{E}_     ext{shear}}{\langle \mathbf{D} \otimes
          \mathbf{D} 
  angle : \mathbb{E}_     ext{iso}}
docstr_tok: ["Normalized","microscopic","anisotropy",".","Returns","--","--","--","-","c_mu",":","numpy.ndarray","Notes","--","--","-","Normalized","microscopic","anisotropy","is","calculated","as","..","math",":",":","C_\\mu","=","rac","{","3","}","{","2","}","rac","{","\\langle","\\mathbf","{","D","}","\\otimes","\\mathbf","{","D","}","angle",":","\\mathbb","{","E","}","_","ext","{","shear","}","}","{","\\langle","\\mathbf","{","D","}","\\otimes","\\mathbf","{","D","}","angle",":","\\mathbb","{","E","}","_","ext","{","iso","}","}"]
code: def c_mu(self):
      """Normalized microscopic anisotropy.
  
      Returns
      -------
      c_mu : numpy.ndarray
  
      Notes
      -----
      Normalized microscopic anisotropy is calculated as
  
          .. math::
  
              C_\mu = \frac{3}{2} \frac{\langle \mathbf{D} \otimes \mathbf{D}
              \rangle : \mathbb{E}_\text{shear}}{\langle \mathbf{D} \otimes
              \mathbf{D} \rangle : \mathbb{E}_\text{iso}}
      """
      c_mu = (
          1.5
          * np.matmul(
              np.swapaxes(from_6x6_to_21x1(self.mean_d_sq), -1, -2),
              from_6x6_to_21x1(E_shear),
          )
          / np.matmul(
              np.swapaxes(from_6x6_to_21x1(self.mean_d_sq), -1, -2),
              from_6x6_to_21x1(E_iso),
          )
      )[..., 0, 0]
      return c_mu
  
imports: from warnings import warn
  import numpy
  from dipy.reconst.base import ReconstModel
  from dipy.reconst.dti import auto_attr
  from dipy.utils.optpkg import optional_package
label_desc: Use image node_id 11 for calling the QtiFit obj's underlying member method code with example usage: obj.c_mu() and returns: c_mu