that's all we need
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@ -146,7 +146,7 @@ for name in filenames:
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neg = np.where(D < 0.0) # find negative eigenvalues ...
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D[neg] *= -1. # ... flip value ...
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V[:,neg] *= -1. # ... and vector
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for i,eigval in enumerate(D):
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for i in [0,1,2]:
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if np.dot(V[:,i],V[:,(i+1)%3]) != 0.0: # check each vector for orthogonality
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V[:,(i+1)%3] = np.cross(V[:,(i+2)%3],V[:,i]) # correct next vector
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V[:,(i+1)%3] /= np.sqrt(np.dot(V[:,(i+1)%3],V[:,(i+1)%3])) # and renormalize (hyperphobic?)
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