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Add ability to set bounds for find_k

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jan 2017-12-18 00:13:29 -08:00
parent f312d73503
commit 16f97d7f6b
1 changed files with 7 additions and 3 deletions
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10
fdfd_tools/bloch.py
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@ -464,7 +464,9 @@ def find_k(frequency: float,
G_matrix: numpy.ndarray,
epsilon: field_t,
mu: field_t = None,
band: int = 0
band: int = 0,
k_min: float = 0,
k_max: float = 0.5,
) -> Tuple[numpy.ndarray, float]:
"""
Search for a bloch vector that has a given frequency.
@ -489,8 +491,10 @@ def find_k(frequency: float,
f = numpy.sqrt(numpy.abs(numpy.real(n[band])))
return f
res = scipy.optimize.minimize_scalar(lambda x: abs(get_f(x, band) - frequency), 0.25,
method='Bounded', bounds=(0, 0.5),
res = scipy.optimize.minimize_scalar(lambda x: abs(get_f(x, band) - frequency),
(k_min + k_max) / 2,
method='Bounded',
bounds=(k_min, k_max),
options={'xatol': abs(tolerance)})
return res.x * direction, res.fun + frequency