Corrected ambiguity with the centre frequency content of the 'gaussiandotdot' and 'gaussiandotnorm' waveforms. Prior to this update the centre frequency of these waveforms were derived from a base Gaussian waveform with the user given frequency (deriving the pulse width), i.e. this resulted in higher than expected centre frequencies for these waveforms. This has now been corrected so that the user specified centre frequency is what is used for these waveforms.

Tidied up terminology relating to waveform centre frequency.

tools/plot_source_wave.py

@@ -92,13 +92,13 @@ def mpl_plot(w, timewindow, dt, iterations, fft=False):
 
     print('Maximum amplitude: {:g}'.format(w.amp))
 
-    if w.freq:
+    if w.freq and not w.type == 'gaussian':
         print('Centre frequency: {:g} Hz'.format(w.freq))
 
-    if w.type == 'gaussian' or w.type == 'gaussiandot' or w.type == 'gaussiandotdot':
+    if w.type == 'gaussian' or w.type == 'gaussiandot' or w.type == 'gaussiandotnorm':
         delay = 1 / w.freq
         print('Time to centre of pulse: {:g} s'.format(delay))
-    elif w.type == 'gaussiandotnorm' or w.type == 'gaussiandotdotnorm' or w.type == 'ricker':
+    elif w.type == 'gaussiandotdot' or w.type == 'gaussiandotdotnorm' or w.type == 'ricker':
         delay = np.sqrt(2) / w.freq
         print('Time to centre of pulse: {:g} s'.format(delay))
 
@@ -107,7 +107,7 @@ def mpl_plot(w, timewindow, dt, iterations, fft=False):
         powerdrop = -3  # dB
         start = np.where((10 * np.log10(waveform / np.amax(waveform))) > powerdrop)[0][0]
         stop = np.where((10 * np.log10(waveform[start:] / np.amax(waveform))) < powerdrop)[0][0] + start
-        print('Pulse width at {:d}dB, i.e. FWHM: {:g} s'.format(powerdrop, time[stop] - time[start]))
+        print('Pulse width at {:d}dB, i.e. full width at half maximum (FWHM): {:g} s'.format(powerdrop, time[stop] - time[start]))
 
     print('Time window: {:g} s ({} iterations)'.format(timewindow, iterations))
     print('Time step: {:g} s'.format(dt))