def calibrate(self):
self.updateROI()
self.checkFourierFilter()
controlMatrix = self.proxy.calibrate(numPokeSteps=5)
userConfig.setValue("dm_controlMatrix",
np.ndarray.tolist(controlMatrix))
def sysFlatCalc(self):
self.updateROI()
self.checkFourierFilter()
self.checkIfCalibrated()
z_ignore = np.zeros(self.no_actuators)
if self.sysFlatNollZernike is not None:
z_ignore[self.sysFlatNollZernike - 1] = 1
sys_flat_values, best_z_amps_corrected = self.proxy.flatten_phase(
iterations=self.sys_flat_num_it,
error_thresh=self.sys_error_thresh,
z_modes_ignore=z_ignore,
)
userConfig.setValue("dm_sys_flat", np.ndarray.tolist(sys_flat_values))
return sys_flat_values, best_z_amps_corrected
def characterise(self):
self.updateROI()
self.checkFourierFilter()
self.checkIfCalibrated()
assay = self.proxy.assess_character()
if np.mean(assay[1:, 1:]) < 0:
controlMatrix = self.proxy.get_controlMatrix()
self.proxy.set_controlMatrix((-1 * controlMatrix))
assay = assay * -1
userConfig.setValue("dm_controlMatrix",
np.ndarray.tolist(controlMatrix))
# The default system corrections should be for the zernike
# modes we can accurately recreate.
self.sysFlatNollZernike = ((np.diag(assay) > 0.75).nonzero()[0]) + 1
return assay
def OnSave(self, event: wx.CommandEvent) -> None:
del event
roi = [x * self._scale_factor for x in self.ROI]
userConfig.setValue("dm_circleParams", (roi[1], roi[0], roi[2]))
def SavedBottom(self, pos: float) -> None:
userConfig.setValue('savedBottom', pos)
self._saved_bottom = pos
events.publish(events.STAGE_TOP_BOTTOM)
def SavedTop(self, pos: float) -> None:
userConfig.setValue('savedTop', pos)
self._saved_top = pos
events.publish(events.STAGE_TOP_BOTTOM)
