def fibreEfield(self, size):
fibre_efield = aotools.gaussian2d((self.sim_size, self.sim_size),
(size, size))
fibre_efield /= numpy.sqrt(
numpy.sum(
numpy.abs(
aotools.gaussian2d((self.sim_size * 3, self.sim_size * 3),
(size, size)))**2))
return fibre_efield
def makeIMatShapes(self):
"""
Generates the influence functions for the GaussStack DM.
Creates a number of Guassian distributions which are centred at points
across the pupil to act as DM influence functions. The width of the
guassian is determined from the configuration file.
"""
shapes = numpy.zeros(
(self.n_acts, self.nx_dm_elements, self.nx_dm_elements))
actSpacing = self.pupil_size / (self.dmConfig.nxActuators - 1)
width = actSpacing / 2.
for i in xrange(self.n_acts):
x, y = self.valid_act_coords[i] * actSpacing
shapes[i] = aotools.gaussian2d(self.nx_dm_elements,
width,
cent=(x, y))
self.iMatShapes = shapes
pad = self.simConfig.simPad
self.iMatShapes = numpy.pad(self.iMatShapes,
((0, 0), (pad, pad), (pad, pad)),
mode="constant")
def makeIMatShapes(self):
"""
Generates the influence functions for the GaussStack DM.
Creates a number of Guassian distributions which are centred at points
across the pupil to act as DM influence functions. The width of the
guassian is determined from the configuration file.
"""
shapes = numpy.zeros((
self.n_acts, self.nx_dm_elements, self.nx_dm_elements))
actSpacing = self.pupil_size/(self.dmConfig.nxActuators-1)
width = actSpacing/2.
for i in xrange(self.n_acts):
x,y = self.valid_act_coords[i] * actSpacing
shapes[i] = aotools.gaussian2d(
self.nx_dm_elements, width, cent=(x,y))
self.iMatShapes = shapes
pad = self.simConfig.simPad
self.iMatShapes = numpy.pad(
self.iMatShapes, ((0,0), (pad,pad), (pad,pad)), mode="constant"
)
def fibreEfield(self, size):
fibre_efield = aotools.gaussian2d((self.sim_size, self.sim_size), (size, size))
fibre_efield /= numpy.sqrt(numpy.sum(numpy.abs(aotools.gaussian2d((self.sim_size*3, self.sim_size*3), (size, size)))**2))
return fibre_efield