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Code Issues Releases Wiki Activity

Renaming for consistency; tweaks; stuff; other

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Jonathan Hogg
2017-07-13 19:07:26 +01:00
parent 24f42a4208
commit 000862abef
1 changed files with 26 additions and 27 deletions
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53
scope.py
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@ -54,12 +54,12 @@ class Scope(vm.VirtualMachine):
self.awg_sample_buffer_size = 1024
self.awg_minimum_clock = 33
self.awg_maximum_voltage = 3.33
#self.analog_params = self.AnalogParams(20, -5, 300, 18.3, -7.5)
#self.analog_offsets = {'A': 0, 'B': 0}
self.analog_params = self.AnalogParams(19.7, -4.86, 298.6, 18.361, -7.496)
self.analog_offsets = {'A': -0.00937, 'B': 0.00937}
self.analog_min = -5.5
self.analog_max = 8
self.analog_params = self.AnalogParams(20, -5, 300, 18.36, -7.5)
self.analog_offsets = {'A': 0, 'B': 0}
self.analog_default_low = -5.5
self.analog_default_high = 8
self.analog_lo_min = 0.07
self.analog_hi_max = 0.88
self.capture_clock_period = 25e-9
self.capture_buffer_size = 12<<10
self.timeout_clock_period = 6.4e-6
@ -151,10 +151,12 @@ class Scope(vm.VirtualMachine):
lo, hi = low, high
else:
if low is None:
low = self.analog_min
low = self.analog_default_low
if high is None:
high = self.analog_max
high = self.analog_default_high
lo, hi = self.calculate_lo_hi(low, high)
if lo < self.analog_lo_min or hi > self.analog_hi_max:
Log.warning(f"Reference voltage DAC(s) out of safe range: lo={lo:.3f} hi={hi:.3f}")
spock_option = vm.SpockOption.TriggerTypeHardwareComparator
kitchen_sink_a = kitchen_sink_b = 0
@ -328,39 +330,36 @@ class Scope(vm.VirtualMachine):
items = []
await self.start_generator(frequency=1000, waveform='square')
i = 0
low_min, high_max = self.calculate_lo_hi(self.analog_min, self.analog_max)
low_max, high_min = self.calculate_lo_hi(0, self.awg_maximum_voltage)
for low in np.linspace(low_min, low_max, n):
for high in np.linspace(high_min, high_max, n):
data = await self.capture(channels=['A','B'], period=2e-3 if i%2 == 0 else 1e-3, nsamples=2000, low=low, high=high, timeout=0, raw=True)
for lo in np.linspace(self.analog_lo_min, 0.5, n, endpoint=False):
for hi in np.linspace(0.5, self.analog_hi_max, n, endpoint=False):
data = await self.capture(channels=['A','B'], period=2e-3 if i%2 == 0 else 1e-3, nsamples=2000, low=lo, high=hi, timeout=0, raw=True)
A = np.fromiter(data['A'].values(), dtype='float')
A.sort()
B = np.fromiter(data['B'].values(), dtype='float')
B.sort()
Azero, Amax = A[25:475].mean(), A[525:975].mean()
Bzero, Bmax = B[25:475].mean(), B[525:975].mean()
if Azero > 0.1 and Bzero > 0.1 and Amax < 0.9 and Bmax < 0.9:
if Azero > 0.05 and Bzero > 0.05 and Amax < 0.95 and Bmax < 0.95:
zero = (Azero + Bzero) / 2
analog_range = self.awg_maximum_voltage / ((Amax + Bmax)/2 - zero)
analog_low = -zero * analog_range
analog_high = analog_low + analog_range
low = -zero * analog_range
high = low + analog_range
offset = ((Amax - Bmax) + (Azero - Bzero))/2 * analog_range
items.append((analog_low, analog_high, low, high, offset))
items.append((low, high, lo, hi, offset))
i += 1
await self.stop_generator()
items = np.array(items)
def f(params, analog_low, analog_high, low, high):
lo, hi = self.calculate_lo_hi(analog_low, analog_high, params)
return np.sqrt((low - lo) ** 2 + (high - hi) ** 2)
result = least_squares(f, self.analog_params, args=items.T[:4], xtol=1e-9, max_nfev=10000,
bounds=([0, -np.inf, 200, 0, -np.inf],
[np.inf, np.inf, 400, np.inf, 0]))
if result.success in range(1, 5):
Log.info(f"Calibration succeeded: {result.success}")
self.analog_params = params = self.AnalogParams(*result.x)
def f(params, low, high, lo, hi):
clo, chi = self.calculate_lo_hi(low, high, params)
return np.sqrt((lo-clo)**2 + (hi-chi)**2)
result = least_squares(f, self.analog_params, args=items.T[:4], max_nfev=1000, ftol=1e-9, xtol=1e-9,
bounds=([0, -np.inf, 200, 0, -np.inf], [np.inf, np.inf, 400, np.inf, 0]))
if result.success:
Log.info(f"Calibration succeeded: {result.message}")
params = self.analog_params = self.AnalogParams(*result.x)
Log.info(f"Analog parameters: d={params.d:.1f}Ω f={params.f:.2f}Ω b={params.b:.1f}Ω scale={params.scale:.3f}V offset={params.offset:.3f}V")
clow, chigh = self.calculate_lo_hi(items[:,0], items[:,1])
diff = np.sqrt((((clow-items[:,2])**2).mean() + ((chigh-items[:,3])**2).mean()) / 2)
diff = (np.sqrt(((clow-items[:,2])**2).mean()) + np.sqrt(((chigh-items[:,3])**2).mean())) / (items[:,3]-items[:,2]).mean()
Log.info(f"Mean error: {diff*10000:.1f}bps")
offsets = items[:,4]
offset = offsets.mean()