Better random gaussian sampling for Wigner #148
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This is fixed in harmonwig, will be fixed here when we pull harmonwig as a dependency |
danielhollas
commented
Nov 3, 2024
| random_Q, random_P = self._sample_unit_mode() | ||
| # TODO: Pass in the proper sigma directly | ||
| sigma = math.sqrt(0.5) | ||
| random_Q = random.gauss(mu=0.0, sigma=sigma) |
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NOTE: For performance we might want to use a random number generator from numpy. But we should first verify that it is indeed a bottleneck.
https://numpy.org/doc/stable/reference/random/generated/numpy.random.Generator.normal.html
(look like this particular function was added in Numpy 1.17 https://numpy.org/doc/stable/reference/random/generated/numpy.random.Generator.normal.html)