def __init__(self, deviceName, aoChannel, aoRange):
aoChannel = daq.AoChannel('%s/%s' % (deviceName, aoChannel),
aoRange.min, aoRange.max)
aoTask = daq.AoTask('AO auxilliary')
aoTask.addChannel(aoChannel)
self.channel = aoChannel
self.auxAoTask = aoTask
self.rampStepSize = 0.01
self.auxAoVoltage = 0
def tuneStage2OutputToZero(pfl, aiChannel):
pfl.lockStage2()
task = daq.AiTask('TuneStage2OffsetCurrent')
task.addChannel(aiChannel)
fbCoupling = 6E-6
Is = fbCoupling * np.linspace(0.5, 2.5, 10)
Im = np.mean(Is)
pfl.setStage2OffsetCurrent(Im) # Start in the middle of the range
time.sleep(0.05)
pfl.resetPfl()
Vs = []
for I in Is:
pfl.setStage2OffsetCurrent(I)
time.sleep(0.05)
V = np.mean(task.readData(100)[0, 10:])
Vs.append(V)
fit = np.polyfit(Vs, Is, 1)
I0 = np.polyval(fit, 0)
if I0 < 0:
pass
#logger.warn('Cannot achieve 0 output')
else:
pfl.setStage2OffsetCurrent(I0)
V = np.mean(task.readData(100)[0, 10:])
return V
def updateDaqChannelsAo(self):
dev = str(self.aoDeviceCombo.currentText())
self.aoChannelCombo.clear()
if len(dev):
device = daq.Device(dev)
aoChannels = device.findAoChannels()
for channel in aoChannels:
self.aoChannelCombo.addItem(channel)
def killAcBias():
# Would like to ensure there's no output from modulation terminal
aoTask = daq.AoTask('acBiasReturnToZero')
aoTask.addChannel(acBiasChannel)
aoTask.writeData([0], autoStart=True)
aoTask.stop()
aoTask.clear()
del aoTask