correlator.impulse_arm()
fig = plt.figure()
axes = [[], []]
axes[0].append(fig.add_subplot(2, 4, 1))
axes[0].append(fig.add_subplot(2, 4, 2, sharex=axes[0][0], sharey=axes[0][0]))
axes[0].append(fig.add_subplot(2, 4, 3, sharex=axes[0][0], sharey=axes[0][0]))
axes[0].append(fig.add_subplot(2, 4, 4, sharex=axes[0][0], sharey=axes[0][0]))
axes[0][0].set_ylim([-130, 130])
axes[1].append(fig.add_subplot(2, 1, 2))
while True:
logger.info("Impulse level: {}".format(correlator.get_current_impulse_level()))
if correlator.impulse_fetch() == True:
for ax_idx in range(len(axes[0])):
axes[0][ax_idx].cla()
axes[0][ax_idx].plot(correlator.time_domain_axis * 1e6, correlator.time_domain_signals[ax_idx])
correlator.do_time_domain_cross_correlation()
axes[1][0].cla()
for baseline in correlator.cross_combinations:
axes[1][0].plot(
correlator.time_domain_correlations_times[baseline],
correlator.time_domain_correlations_values[baseline],
marker = '.')
logger.info(correlator.time_domain_cross_correlations_peaks)
logger.info(correlator.visibilities_from_time())
plt.pause(0.05)
time.sleep(0.5)
handler.setFormatter(colored_formatter)
handler.setLevel(logging.DEBUG)
root = logging.getLogger()
root.addHandler(handler)
root.setLevel(logging.INFO)
logger = logging.getLogger('main')
logger.propagate = False
logger.addHandler(handler)
logger.setLevel(logging.INFO)
correlator = Correlator(logger = logger.getChild('correlator'))
time.sleep(1)
correlator.set_impulse_filter_len(100)
correlator.set_impulse_setpoint(100)
correlator.add_time_domain_calibration('/home/jgowans/workspace/directionFinder_backend/bin/time_domain_calibration.json')
correlator.re_sync()
correlator.impulse_arm()
impulse_levels = []
for _ in range(1000):
impulse_levels.append(
correlator.get_current_impulse_level())
#time.sleep(0.01)
logger.info("Mean: {}".format(np.mean(impulse_levels)))
logger.info("Std dev: {}".format(np.std(impulse_levels)))
logger.info("Max: {}".format(np.max(impulse_levels)))
axes = [[], []]
axes[0].append(fig.add_subplot(2, 4, 1))
axes[0].append(
fig.add_subplot(2, 4, 2, sharex=axes[0][0], sharey=axes[0][0]))
axes[0].append(
fig.add_subplot(2, 4, 3, sharex=axes[0][0], sharey=axes[0][0]))
axes[0].append(
fig.add_subplot(2, 4, 4, sharex=axes[0][0], sharey=axes[0][0]))
axes[0][0].set_ylim([-130, 130])
axes[1].append(fig.add_subplot(2, 1, 2))
while True:
logger.info("Impulse level: {}".format(
correlator.get_current_impulse_level()))
if correlator.impulse_fetch() == True:
for ax_idx in range(len(axes[0])):
axes[0][ax_idx].cla()
axes[0][ax_idx].plot(correlator.time_domain_axis * 1e6,
correlator.time_domain_signals[ax_idx])
correlator.do_time_domain_cross_correlation()
axes[1][0].cla()
for baseline in correlator.cross_combinations:
axes[1][0].plot(
correlator.time_domain_correlations_times[baseline],
correlator.time_domain_correlations_values[baseline],
marker='.')
logger.info(correlator.time_domain_cross_correlations_peaks)
logger.info(correlator.visibilities_from_time())
plt.pause(0.05)
handler.setLevel(logging.DEBUG)
root = logging.getLogger()
root.addHandler(handler)
root.setLevel(logging.INFO)
logger = logging.getLogger('main')
logger.propagate = False
logger.addHandler(handler)
logger.setLevel(logging.INFO)
correlator = Correlator(logger=logger.getChild('correlator'))
time.sleep(1)
correlator.set_impulse_filter_len(100)
correlator.set_impulse_setpoint(100)
correlator.add_time_domain_calibration(
'/home/jgowans/workspace/directionFinder_backend/bin/time_domain_calibration.json'
)
correlator.re_sync()
correlator.impulse_arm()
impulse_levels = []
for _ in range(1000):
impulse_levels.append(correlator.get_current_impulse_level())
#time.sleep(0.01)
logger.info("Mean: {}".format(np.mean(impulse_levels)))
logger.info("Std dev: {}".format(np.std(impulse_levels)))
logger.info("Max: {}".format(np.max(impulse_levels)))
