# open faillog
if log_errors:
fp = open("mcfail.log", "a")
# connect to siggen
sg = N5183("10.126.110.19")
sg.freq(2400e6)
sg.amplitude(pin)
sg.output(1)
# connect to wsa
dut = WSA()
dut.connect(sys.argv[1])
dut.scpiset("*RST")
dut.flush()
# create sweep device
sd = SweepDevice(dut)
# test for a long time
t = 0
while t < numtrials:
# choose random fstart
req_fstart = int(random.random() * 8e9)
# choose random fstop
req_fstop = req_fstart + int(random.random() * (8e9 - req_fstart))
startT = time()
fstart, fstop, spectra_data = sweepdev.capture_power_spectrum(
START_FREQ,
STOP_FREQ,
RBW, {'attenuator': ATTENUATION},
mode=RFE_MODE,
average=AVERAGE)
freq_range = np.linspace(fstart, fstop, len(spectra_data))
stopT = time()
print(
f"Averages = {AVERAGE}, time = {stopT-startT:2.2f} sec, len = {len(spectra_data)}"
)
plt.plot(freq_range, spectra_data, label='Sweep capture')
# %%
dut.scpiset(':sweep:list:stop')
dut.abort()
dut.flush()
dut.flush_captures()
dut.connect(addr)
#%%
dut.attenuator()
# %%
from pyrf.util import collect_data_and_context
collect_data_and_context(dut)
# %%
dut.reset()
# %%
dut.flush_captures()
# %%
dut.scpiget(':syst:capt:mode?')
return (pfreq, pamp)
# open faillog
if log_errors:
fp = open("mcfail.log", "a")
# connect to siggen
sg = N5183("10.126.110.19")
sg.freq(2400e6)
sg.amplitude(pin)
sg.output(1)
# connect to wsa
dut = WSA()
dut.connect(sys.argv[1])
dut.scpiset("*RST")
dut.flush()
# create sweep device
sd = SweepDevice(dut)
# test for a long time
t = 0
while t < numtrials:
# choose random fstart
req_fstart = int(random.random() * 8e9)
# choose random fstop
req_fstop = req_fstart + int(random.random() * (8e9 - req_fstart))
#%%
# declare sweep constants
RBW = 10e3
F_CENTER = 5.12e9
SPAN = 5e6
TRIGGER_SETTING = {
'type': 'NONE',
'fstart': F_CENTER - SPAN / 2, # some value
'fstop': F_CENTER + SPAN / 2, # some value
'amplitude': -100
}
dut.freq(F_CENTER)
dut.trigger(TRIGGER_SETTING)
dut.scpiset(':SOUR:REF:PLL EXT')
# setup graph
fstart, fstop, spectra_data = capture_spectrum(dut, RBW, average=100)
fig = figure(1)
xvalues = np.linspace(fstart, fstop, len(spectra_data))
xlabel("Frequency")
ylabel("Amplitude")
# plot something
plot(xvalues, spectra_data, color='blue')
# show graph
show()