def find_best_iq_delay(self,iq_delay_range=np.arange(-4,5),set_tones=True,make_plot=False):
if set_tones:
self.set_tone_baseband_freqs(np.hstack((np.linspace(-220,-10,8),np.linspace(10,220,8)+2)),nsamp=2**16)
best_delay,best_rejection = find_best_iq_delay_adc(self,iq_delay_range=iq_delay_range,make_plot=make_plot)
if best_rejection < 15:
logger.warning("Best image rejection was only %.1f dB at iq_delay=%d, which is suspiciously low.\nCheck "
"connections and "
"try running with make_plot=True to diagnose" % (best_rejection,best_rejection))
self.iq_delay = best_delay
logger.debug("iq_delay set to %d" % best_delay)
return best_delay,best_rejection
def find_best_iq_delay(self,
iq_delay_range=np.arange(-4, 5),
set_tones=True,
make_plot=False):
if set_tones:
self.set_tone_baseband_freqs(np.hstack(
(np.linspace(-220, -10, 8), np.linspace(10, 220, 8) + 2)),
nsamp=2**16)
best_delay, best_rejection = find_best_iq_delay_adc(
self, iq_delay_range=iq_delay_range, make_plot=make_plot)
if best_rejection < 15:
logger.warning(
"Best image rejection was only %.1f dB at iq_delay=%d, which is suspiciously low.\nCheck "
"connections and "
"try running with make_plot=True to diagnose" %
(best_rejection, best_rejection))
self.iq_delay = best_delay
logger.debug("iq_delay set to %d" % best_delay)
return best_delay, best_rejection
# Acquire
npd = acquire.new_npy_directory(suffix=suffix)
tic = time.time()
try:
tools.set_and_attempt_external_phase_lock(ri, f_lo=lo_MHz, f_lo_spacing=lo_round_to_MHz)
ri.set_lo(lomhz=lo_MHz, chan_spacing=lo_round_to_MHz)
assert np.all(ri.adc_valon.get_phase_locks())
assert np.all(ri.lo_valon.get_phase_locks())
ri.set_dac_attenuator(dac_attenuation)
ri.set_tone_bins(bins=np.array([center_integer]), nsamp=2 ** tone_sample_exponent)
ri.fft_bins = np.atleast_2d(np.array([n_filterbank]))
ri.select_bank(0)
ri.select_fft_bins(np.array([0]))
time.sleep(wait)
tools.optimize_fft_gain(ri, fraction_of_maximum=0.5)
time.sleep(wait)
ri.iq_delay, _ = tools.find_best_iq_delay_adc(ri=ri)
for tone_integer in tone_integers:
ri.set_tone_bins(bins=np.array([tone_integer]), nsamp=2 ** tone_sample_exponent)
ri.fft_bins = np.atleast_2d(np.array([n_filterbank]))
ri.select_bank(0)
ri.select_fft_bins(np.array([0]))
time.sleep(wait)
npd.write(ri.get_measurement(num_seconds=stream_length_seconds, demod=False, state=hw.state()))
npd.write(ri.get_adc_measurement())
finally:
npd.close()
print("Wrote {}".format(npd.root_path))
print("Elapsed time {:.0f} minutes.".format((time.time() - tic) / 60))