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))