that's all we need

This commit is contained in:
Martin Diehl 2019-09-13 06:37:47 -07:00
parent 66d8a3e601
commit cd6a4d1cfd
1 changed files with 1 additions and 1 deletions

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