def test_gauss2d_norm():
"""Test 2d gaussian
"""
p = np.array([0., 0., 1., -3., 0., 0.3, 0.3, 1., 3., 0., 0.3, 0.3])
a, b = np.linspace(-10, 10, 1001), np.linspace(-10, 10, 1001)
q = np.meshgrid(a, b, sparse=True)
y = functions.gaussian2d(p, q)
integ = simps(simps(y, b), a)
assert (abs(integ - 2.) < 1e-5)
def build_3d_data():
"""Builds 3D data object
"""
p = np.array([0, 0, 1, 0, 0, 0.1])
x, y = np.linspace(-1, 1, 81), np.linspace(-1, 1, 81)
X, Y = np.meshgrid(x, y)
z = functions.gaussian2d(p, (X, Y))
mon = 1e5
tim = 15
output = Data(Q=np.vstack((item.ravel() for item in np.meshgrid(x, y, 0., 0., 300.))).T,
detector=z.ravel(), monitor=np.full(X.ravel().shape, mon, dtype=float),
time=np.full(X.ravel().shape, tim, dtype=float))
return output
def build_3d_data():
"""Builds 3D data object
"""
p = np.array([0, 0, 1, 0, 0, 0.1])
x, y = np.linspace(-1, 1, 81), np.linspace(-1, 1, 81)
X, Y = np.meshgrid(x, y)
z = functions.gaussian2d(p, (X, Y))
mon = 1e5
tim = 15
output = Data(Q=np.vstack((item.ravel() for item in np.meshgrid(x, y, 0., 0., 300.))).T,
detector=z.ravel(), monitor=np.full(X.ravel().shape, mon, dtype=float),
time=np.full(X.ravel().shape, tim, dtype=float))
return output
