async def run(self):
"""This is run for each step in a sweep."""
await asyncio.sleep(self.delay)
await self.resistance.push(self.res_reference /
((self.lock.amp / self.lock.mag) - 1.0))
def shutdown_instruments(self):
self.mag.zero()
self.lock.amp = 0
if __name__ == '__main__':
sample_name = "Hypress_3_2_COSTM3"
date = datetime.datetime.today().strftime('%Y-%m-%d')
file_path = "data\CRAM01\{samp:}\{samp:}-FieldSwitch_{date:}.h5".format(
samp=sample_name, date=date)
exp = FieldSwitchingLockinExperiment()
wr = WriteToHDF5(file_path)
plt = Plotter()
edges = [(exp.resistance, wr.sink), (exp.resistance, plt.sink)]
exp.set_graph(edges)
fields = np.linspace(-0.4, 0.4, 200)
fields = np.append(fields, np.flipud(fields))
main_sweep = exp.add_sweep(exp.field, fields)
exp.run_sweeps()
if __name__ == '__main__':
exp = BERExperiment()
exp.sample = "CSHE5 - C2R3"
exp.comment = "Switching Bit Error Rate - AP to P - 5ns"
exp.polarity = 1 # 1: AP to P; -1: P to AP
exp.field.value = 0.0081
exp.attempts.value = 1 << 11
exp.pulse_duration.value = 5e-9 # Fixed
exp.reset_amplitude = 0.7
exp.reset_duration = 5e-9
exp.pspl_atten = 5
exp.init_instruments()
wr = WriteToHDF5(
"data\CSHE-Switching\CSHE-Die5-C2R3\\test\CSHE5-C2R3-AP2P_2016-07-27_BER_5ns.h5"
)
edges = [(exp.voltage, wr.data)]
exp.set_graph(edges)
V0 = 0.5
voltages_list = V0 * np.linspace(1.0, 1.8, 5)
voltages_list = voltages_list[voltages_list < 1.1] # For safety
t1 = [] # Keep track of time
t2 = []
max_points = 1 << 13
finish = False
for volt in voltages_list:
if finish:
break
demod = Channelizer(frequency=exp.measure_frequency,
decimation_factor=4,
bandwidth=20e6)
ki = KernelIntegrator(kernel=0,
bias=0,
simple_kernel=True,
box_car_start=1e-7,
box_car_stop=3.8e-7,
frequency=0.0)
avg = Averager(axis="attempt")
samp = "c1r4"
file_path = f"data\\nTron-Switching\\{samp}\\{samp}-PulseSwitchingShort-{datetime.datetime.today().strftime('%Y-%m-%d')}.h5"
# file_path = f"data\\nTron-Switching\\{samp}\\{samp}-PulseSwitching-{datetime.datetime.today().strftime('%Y-%m-%d-%H-%M')}.h5"
wr_int = WriteToHDF5(file_path, groupname="Integrated", store_tuples=False)
wr_final = WriteToHDF5(file_path, groupname="Final", store_tuples=False)
wr_raw = WriteToHDF5(file_path, groupname="Raw", store_tuples=False)
edges = [
(exp.voltage, demod.sink),
# (exp.voltage, wr_raw.sink),
(exp.voltage, plot_raw1.sink),
# (exp.voltage, plot_raw2.sink),
(demod.source, ki.sink),
# (ki.source, plot_ki.sink),
(ki.source, avg.sink),
(ki.source, wr_int.sink),
(avg.final_average, plot_avg.sink),
(demod.source, plot.sink),
]
if __name__=='__main__':
exp = SwitchSearchLockinExperiment()
exp.sample = "CSHE2-C4R2"
exp.field.value = 0.0133
exp.measure_current = 3e-6
exp.init_streams()
volts = np.arange(-0.7, -0.1, 0.1)
volts = np.append(volts, -1*np.flipud(volts))
volts = np.append(-volts, np.flipud(volts))
durs = 1e-9*np.array([3,5])
exp.add_sweep(exp.pulse_voltage, volts)
exp.add_sweep(exp.pulse_duration, durs)
# Set up measurement network
wr = WriteToHDF5("data\CSHE-Switching\CSHE-Die2-C4R2\CSHE2-C4R2-Search_Switch_2016-06-30.h5")
# pbar = ProgressBar(num=2)
# edges = [(exp.voltage, wr.data), (exp.voltage, pbar.data)]
edges = [(exp.voltage, wr.data)]
exp.set_graph(edges)
exp.init_instruments()
exp.run_sweeps()
exp.shutdown_instruments()
# Get data
f = h5shell(wr.filename,'r')
dset= f[f.grep('data')[-1]]
buffers = dset.value
f.close()
# Plot the result
buff_mean = np.mean(buffers, axis=(2,3))
exp.polarity = 1 # -1: AP to P; 1: P to AP
exp.iteration = 2
exp.reset_amplitude = 0.2
exp.reset_duration = 5e-9
coarse_ts = np.linspace(1, 2, 3) * 1e-9
coarse_vs = np.linspace(0.4, 0.6, 3)
points = [coarse_ts, coarse_vs]
points = np.array(list(itertools.product(*points)))
exp.pulse_durations = points[:, 0]
exp.pulse_voltages = points[:, 1]
exp.field.value = -0.0074
exp.measure_current = 0e-6
exp.init_instruments()
wr = WriteToHDF5(
"data\CSHE-Switching\CSHE-Die5-C1R3\CSHE5-C1R3_nTron_P2AP_2016-07-15.h5"
)
edges = [(exp.voltage, wr.data)]
exp.set_graph(edges)
main_sweep = exp.add_unstructured_sweep(
[exp.pulse_duration, exp.pulse_voltage], points)
figs = []
t1 = time.time()
for i in range(exp.iteration):
exp.reset()
exp.run_sweeps()
points, mean = sw.load_switching_data(wr.filename)
figs.append(
sw.phase_diagram_mesh(points, mean,
title="Iteration={}".format(i)))