### POWER: align neighbouring radii at amp max to within 2pi

`this seems more robust than aligning (the noise) at the beginning to 2pi`
parent 0d0baa44
 ... ... @@ -456,16 +456,21 @@ def POWER(sim_path, radii, modes): # Interpolate phase and amplitude interpolation_order = 9 for i in range(len(radii)): interp_function = scipy.interpolate.interp1d(amp[i][:, 0], amp[i][:, 1], kind=interpolation_order) resampled_amp_vals = interp_function(t) amp[i] = np.column_stack((t, resampled_amp_vals)) interp_function = scipy.interpolate.interp1d(phase[i][:, 0], phase[i][:, 1], kind=interpolation_order) resampled_phase_vals = interp_function(t) # try and keep all initial phases within 2pi of each other # try and keep all phases at the amplitude maximum within 2pi of each other # alignment is between neighbhours just in case there actually ever is # >2pi difference between the innermost and the ohtermost detector if(i > 0): phase_shift = round((resampled_phase_vals - phase[0,1])/(2.*math.pi))*2.*math.pi maxargp = np.argmax(amp[i-1][:,1]) maxarg = np.argmax(amp[i][:,1]) phase_shift = round((resampled_phase_vals[maxarg] - phase[i-i][maxargp,1])/(2.*math.pi))*2.*math.pi resampled_phase_vals -= phase_shift phase[i] = np.column_stack((t, resampled_phase_vals)) interp_function = scipy.interpolate.interp1d(amp[i][:, 0], amp[i][:, 1], kind=interpolation_order) resampled_amp_vals = interp_function(t) amp[i] = np.column_stack((t, resampled_amp_vals)) #Extrapolate phase_extrapolation_order = 1 ... ...
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