def set_options(self, dt=1e-15, theta=1.0, gamma=const.gamma, k_B=const.k_B, seed=100):
clib.init_random(seed)
self.gamma = gamma
self.k_B = k_B
self.dt = dt
self.theta = theta
self.theta1 = 1-0.5/theta
self.theta2 = 0.5/theta
def set_options(self, J=50.0, D=0, H=None, seed=100, T=10.0):
"""
J and D in units of k_B
H in units of Tesla.
"""
clib.init_random(seed)
self.J = J
self.D = D
self.T = T
self.mu_s = 1.0
if H is not None:
self._H[:] = helper.init_vector(H, self.mesh)
self._H[:] = self._H[:]*const.mu_s_1/const.k_B
def set_options(self,
dt=1e-15,
theta=1.0,
gamma=const.gamma,
k_B=const.k_B,
seed=100):
clib.init_random(seed)
self.gamma = gamma
self.k_B = k_B
self.dt = dt
self.theta = theta
self.theta1 = 1 - 0.5 / theta
self.theta2 = 0.5 / theta
def test_random_sphere(do_plot=False):
clib.init_random(99999)
spin = np.ones(3 * 10000, dtype=np.float)
clib.random_spin_uniform_sphere(spin, 10000)
spin.shape = (-1,3)
x,y,z = my_average(spin)
print(abs(x-y), abs(x-z), abs(y-z))
assert(abs(x-y)<4e-3)
assert(abs(x-z)<4e-3)
assert(abs(y-z)<4e-3)
if do_plot:
fig = plt.figure()
ax3D = fig.add_subplot(111, projection='3d')
ax3D.scatter(spin[:1000,0], spin[:1000,1], spin[:1000,2], s=30, marker='.')
plt.savefig('test_random_sphere.png')
