Created
May 18, 2018 02:03
-
-
Save unkcpz/bbff51c9f285f1429bbeaca74ddcaf6e to your computer and use it in GitHub Desktop.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
import numpy as np | |
# | |
# Delaunay reduction (originally from phonopy) | |
# | |
def get_Delaunay_reduction(lattice, tolerance): | |
extended_bases = np.zeros((4, 3), dtype=float) | |
extended_bases[:3,:] = np.transpose(lattice) | |
extended_bases[3] = -np.sum(lattice, axis=1) | |
for i in range(100): | |
if reduce_bases(extended_bases, tolerance): | |
break | |
if i == 99: | |
print("Delaunary reduction failed.") | |
shortest3 = get_shortest_bases(extended_bases, tolerance) | |
return shortest3.T.copy() | |
def reduce_bases(extended_bases, tolerance): | |
metric = np.dot(extended_bases, extended_bases.T) | |
for i in range(4): | |
for j in range(i+1, 4): | |
if metric[i, j] > tolerance: | |
for k in range(4): | |
if (not k == i) and (not k == j): | |
extended_bases[k] += extended_bases[i] | |
extended_bases[i] = -extended_bases[i] | |
extended_bases[j] = extended_bases[j] | |
return False | |
# All non diagonal elements of metric tensor is negative. | |
# Reduction is completed. | |
return True | |
def get_shortest_bases(extended_bases, tolerance): | |
def mycmp(x, y): | |
return cmp(np.vdot(x, x), np.vdot(y, y)) | |
basis = np.zeros((7, 3), dtype=float) | |
basis[:4] = extended_bases | |
basis[4] = extended_bases[0] + extended_bases[1] | |
basis[5] = extended_bases[1] + extended_bases[2] | |
basis[6] = extended_bases[2] + extended_bases[0] | |
# Sort bases by the lengthes (shorter is earlier) | |
basis = sorted(basis, cmp=mycmp) | |
# Choose shortest and linearly independent three bases | |
# This algorithm may not be perfect. | |
for i in range(7): | |
for j in range(i+1, 7): | |
for k in range(j+1, 7): | |
if abs(np.linalg.det([basis[i], | |
basis[j], | |
basis[k]])) > tolerance: | |
return np.array([basis[i], | |
basis[j], | |
basis[k]]) | |
print("Delaunary reduction is failed.") | |
return basis[:3] |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment