continue
correlations = {}
num_channels = 4
cross_combinations = list(
itertools.combinations(range(num_channels), 2))
for comb in cross_combinations:
filename = "{a}x{b}.npy".format(a=comb[0], b=comb[1])
with open("{d}/{t}/{f}".format(d=directory,
t=timestamp,
f=filename)) as f:
signal = np.load(f)
correlations[comb] = signal
correlator = FakeCorrelator(signals=correlations)
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'
)
correlator.apply_frequency_domain_calibrations()
array = AntennaArray.mk_from_config(args.array_geometry_file)
df = DirectionFinder(correlator, array, args.f_start,
logger.getChild('df'))
df.df_strongest_signal(args.f_start,
args.f_stop,
directory,
t=timestamp)
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)
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)
parser.add_argument('--array_geometry_file', default=None)
args = parser.parse_args()
directory = args.d
contents = os.listdir(directory)
contents.sort()
for timestamp_str in contents:
try:
timestamp = float(timestamp_str)
except ValueError:
continue
correlations = {}
num_channels = 4
cross_combinations = list(itertools.combinations(range(num_channels), 2))
for comb in cross_combinations:
filename = "{a}x{b}.npy".format(a = comb[0], b = comb[1])
with open("{d}/{t}/{f}".format(d = directory, t = timestamp, f = filename)) as f:
signal = np.load(f)
correlations[comb] = signal
correlator = FakeCorrelator(signals = correlations)
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')
correlator.apply_frequency_domain_calibrations()
array = AntennaArray.mk_from_config(args.array_geometry_file)
df = DirectionFinder(correlator, array, args.f_start, logger.getChild('df'))
df.df_strongest_signal(args.f_start, args.f_stop, directory, t = timestamp)
