def get_periodic_rvec(data):
coords = obtain_rvec(data)
if sum(data.ds.periodicity) == 0: return coords
le = data.ds.domain_left_edge.in_units("code_length").d
dw = data.ds.domain_width.in_units("code_length").d
for i in range(coords.shape[0]):
if not data.ds.periodicity[i]: continue
coords[i, ...] -= le[i]
#figure out which measure is less
mins = np.argmin([
np.abs(np.mod(coords[i, ...], dw[i])),
np.abs(np.mod(coords[i, ...], -dw[i]))
],
axis=0)
temp_coords = np.mod(coords[i, ...], dw[i])
#Where second measure is better, updating temporary coords
ii = mins == 1
temp_coords[ii] = np.mod(coords[i, ...], -dw[i])[ii]
# Putting the temporary coords into the actual storage
coords[i, ...] = temp_coords
coords[i, ...] + le[i]
return coords
def get_periodic_rvec(data):
coords = obtain_rvec(data)
if sum(data.ds.periodicity) == 0: return coords
le = data.ds.domain_left_edge.in_units("code_length").d
dw = data.ds.domain_width.in_units("code_length").d
for i in range(coords.shape[0]):
if not data.ds.periodicity[i]: continue
coords[i, ...] -= le[i]
coords[i, ...] = np.min([
np.abs(np.mod(coords[i, ...], dw[i])),
np.abs(np.mod(coords[i, ...], -dw[i]))
],
axis=0)
coords[i, ...] += le[i]
return coords
def get_periodic_rvec(data):
coords = obtain_rvec(data)
if sum(data.ds.periodicity) == 0: return coords
le = data.ds.domain_left_edge.in_units("code_length").d
dw = data.ds.domain_width.in_units("code_length").d
for i in range(coords.shape[0]):
if not data.ds.periodicity[i]: continue
coords[i, ...] -= le[i]
#figure out which measure is less
mins = np.argmin([np.abs(np.mod(coords[i, ...], dw[i])),
np.abs(np.mod(coords[i, ...], -dw[i]))],
axis=0)
temp_coords = np.mod(coords[i, ...], dw[i])
#Where second measure is better, updating temporary coords
ii = mins==1
temp_coords[ii] = np.mod(coords[i, ...], -dw[i])[ii]
# Putting the temporary coords into the actual storage
coords[i, ...] = temp_coords
coords[i, ...] + le[i]
return coords
def _specific_angular_momentum_z(field, data):
xv, yv, zv = obtain_velocities(data, ftype)
rv = obtain_rvec(data)
rv = np.rollaxis(rv, 0, len(rv.shape))
rv = data.ds.arr(rv, input_units=data["index", "x"].units)
return xv * rv[..., 1] - yv * rv[..., 0]
def _specific_angular_momentum_z(field, data):
xv, yv, zv = obtain_velocities(data, ftype)
rv = obtain_rvec(data)
rv = np.rollaxis(rv, 0, len(rv.shape))
rv = data.ds.arr(rv, input_units = data["index", "x"].units)
return xv * rv[...,1] - yv * rv[...,0]
