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)
for elements in [3, 4]:
array = AntennaArray.mk_circular(args.radius * (elements / 4.0),
elements)
named_antenna_arrays.append(NamedArray(str(elements), array))
if args.array_geometry_file:
array = AntennaArray.mk_from_config(args.array_geometry_file)
named_antenna_arrays.append(NamedArray("4'", array))
for elements in [5, 6, 7]:
array = AntennaArray.mk_circular(args.radius * (elements / 4.0),
elements)
named_antenna_arrays.append(NamedArray(str(elements), array))
for named_arr in named_antenna_arrays:
name = named_arr.name
arr = named_arr.array
df = DirectionFinder(None, arr, args.freq, logger.getChild('df'))
logging.info("Doing array: {arr}".format(arr=name))
y = []
for visibility_rms_err in visibility_rms_errs:
logging.info("Doing rms visibility error: {er}".format(
er=visibility_rms_err))
df_errors = []
for phi in phi_domain:
array_response = arr.each_pair_phase_difference_at_angle(
phi, args.freq)
visibility_errors = np.random.normal(0, visibility_rms_err,
array_response.shape)
array_response += visibility_errors
angle_out = df.find_closest_point(array_response)
angular_error = np.arctan2(np.sin(phi - angle_out),
np.cos(phi - angle_out))
