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ZH: period_from_shower sort by maxima
Start by correlating the strongest signals
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@ -28,6 +28,7 @@ def find_best_sample_shifts_summing_at_location(test_loc, antennas, allowed_samp
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t_ = []
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t_min = 1e9
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t_max = -1e9
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a_maxima = []
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if dt is None:
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dt = antennas[0].t_AxB[1] - antennas[0].t_AxB[0]
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@ -41,12 +42,18 @@ def find_best_sample_shifts_summing_at_location(test_loc, antennas, allowed_samp
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t__ = np.subtract(ant.t_AxB, delta)
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t_.append(t__)
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a_.append(ant.E_AxB)
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a_maxima.append(max(ant.E_AxB))
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if t__[0] < t_min:
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t_min = t__[0]
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if t__[-1] > t_max:
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t_max = t__[-1]
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# sort traces with descending maxima
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sort_idx = np.argsort(a_maxima)[::-1]
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t_ = [ t_[i] for i in sort_idx ]
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a_ = [ a_[i] for i in sort_idx ]
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# Interpolate and find best sample shift
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max_neg_shift = 0 #np.min(allowed_sample_shifts) * dt
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max_pos_shift = 0 #np.max(allowed_sample_shifts) * dt
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@ -92,6 +99,11 @@ def find_best_sample_shifts_summing_at_location(test_loc, antennas, allowed_samp
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fig.savefig(path.join(fig_dir, __file__ + '.loc{:.1f}-{:.1f}-{:.1f}'.format(*test_loc) + f'.i{i}{fig_distinguish}.pdf'))
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plt.close(fig)
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# sort by antenna (undo sorting by maximum)
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undo_sort_idx = np.argsort(sort_idx)
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best_sample_shifts = best_sample_shifts[undo_sort_idx]
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# Return ks
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return best_sample_shifts, np.max(a_sum)
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