correlator = Correlator(logger=logger.getChild('correlator'))
correlator.set_accumulation_len(args.acc_len)
correlator.add_cable_length_calibrations(
'/home/jgowans/workspace/directionFinder_backend/config/cable_length_calibration_actual_array.json'
)
correlator.add_frequency_bin_calibrations(
'/home/jgowans/workspace/directionFinder_backend/config/frequency_domain_calibration_through_chain.json'
)
df = DirectionFinder(correlator, array, args.f_start,
logger.getChild('df'))
if args.impulse == True:
df.set_time() # go into time mode
# 100 impulse filter len = 0.5 us
correlator.set_impulse_filter_len(100)
correlator.set_impulse_setpoint(args.impulse_setpoint)
correlator.re_sync()
time.sleep(0.1)
correlator.impulse_arm()
while True:
if args.impulse == True:
if df.fetch_impulse() == True:
correlator.save_time_domain_snapshots(df_raw_dir)
# not necessary to apply cal as it's done in the correlation routine
df.df_impulse(df_raw_dir)
else:
df.fetch_frequency_crosses()
correlator.save_frequency_correlations(df_raw_dir)
correlator.apply_frequency_domain_calibrations()
df.df_strongest_signal(args.f_start, args.f_stop, df_raw_dir)
import itertools
import logging
from colorlog import ColoredFormatter
if __name__ == '__main__':
logger = logging.getLogger('main')
handler = logging.StreamHandler()
colored_formatter = ColoredFormatter("%(log_color)s%(asctime)s%(levelname)s:%(name)s:%(message)s")
handler.setFormatter(colored_formatter)
logger.addHandler(handler)
logger.setLevel(logging.DEBUG)
correlator = Correlator(logger = logger.getChild('correlator'))
time.sleep(1)
correlator.set_impulse_filter_len(50)
correlator.set_impulse_setpoint(3772)
correlator.add_time_domain_calibration('/home/jgowans/workspace/directionFinder_backend/config/time_domain_calibration_long_sma_cables_only.json')
correlator.add_cable_length_calibrations('/home/jgowans/workspace/directionFinder_backend/config/cable_length_calibration.json')
correlator.re_sync()
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))
import logging
from colorlog import ColoredFormatter
if __name__ == '__main__':
logger = logging.getLogger('main')
handler = logging.StreamHandler()
colored_formatter = ColoredFormatter(
"%(log_color)s%(asctime)s%(levelname)s:%(name)s:%(message)s")
handler.setFormatter(colored_formatter)
logger.addHandler(handler)
logger.setLevel(logging.DEBUG)
correlator = Correlator(logger=logger.getChild('correlator'))
time.sleep(1)
correlator.set_impulse_filter_len(50)
correlator.set_impulse_setpoint(3772)
correlator.add_time_domain_calibration(
'/home/jgowans/workspace/directionFinder_backend/config/time_domain_calibration_long_sma_cables_only.json'
)
correlator.add_cable_length_calibrations(
'/home/jgowans/workspace/directionFinder_backend/config/cable_length_calibration.json'
)
correlator.re_sync()
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]))
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)))
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)))
df_raw_dir = '/home/jgowans/Documents/df_raw/{c}/'.format(c = args.comment)
if not os.path.exists(df_raw_dir):
os.mkdir(df_raw_dir)
array = AntennaArray.mk_from_config(args.array_geometry_file)
correlator = Correlator(logger = logger.getChild('correlator'))
correlator.set_accumulation_len(args.acc_len)
correlator.add_cable_length_calibrations('/home/jgowans/workspace/directionFinder_backend/config/cable_length_calibration_actual_array.json')
correlator.add_frequency_bin_calibrations('/home/jgowans/workspace/directionFinder_backend/config/frequency_domain_calibration_through_chain.json')
df = DirectionFinder(correlator, array, args.f_start, logger.getChild('df'))
if args.impulse == True:
df.set_time() # go into time mode
# 100 impulse filter len = 0.5 us
correlator.set_impulse_filter_len(100)
correlator.set_impulse_setpoint(args.impulse_setpoint)
correlator.re_sync()
time.sleep(0.1)
correlator.impulse_arm()
while True:
if args.impulse == True:
if df.fetch_impulse() == True:
correlator.save_time_domain_snapshots(df_raw_dir)
# not necessary to apply cal as it's done in the correlation routine
df.df_impulse(df_raw_dir)
else:
df.fetch_frequency_crosses()
correlator.save_frequency_correlations(df_raw_dir)
correlator.apply_frequency_domain_calibrations()
df.df_strongest_signal(args.f_start, args.f_stop, df_raw_dir)
