Thesis: fix reference errors

documents/thesis/chapters/beacon_discipline.tex

@@ -432,7 +432,7 @@ Of course, like the pulse method, the ability to measure the beacon's sine waves
 To quantify this comparison in terms of \gls{SNR},
  we define the signal level to be the amplitude of the frequency spectrum at the beacon's frequency determined by \gls{DTFT} (the orange line in Figure~\ref{fig:sine:snr_definition}),
  and the noise level as the scaled \gls{RMS} of all amplitudes in the noise band determined by \gls{FFT} (blue line in Figure~\ref{fig:sine:snr_definition}).
-Since gaussian noise has Rayleigh distributed amplitudes (see Figure~\ref{fig:noise:pdf:amplitude} in Appendix~\ref{sec:phasor_distributions}), this \gls{RMS} is scaled by $1/\sqrt{2\pi}$.
+Since gaussian noise has Rayleigh distributed amplitudes (see Figure~\ref{fig:phasor_sum:pdf:amplitude} in Appendix~\ref{sec:phasor_distributions}), this \gls{RMS} is scaled by $1/\sqrt{2\pi}$.
 \\
 % longer traces
 However, for sine waves, an additional method to increase the \gls{SNR} is available.

documents/thesis/chapters/single_sine_interferometry.tex

@@ -155,8 +155,8 @@ The distance between the antenna and the transmitter results in a phase offset w
 } %>>>
 The beacon signal was recorded over a longer time ($10240\,\mathrm{samples}$), to be able to distinguish the beacon and air shower later in the analysis.
 \\
-The final waveform of an antenna (see Figure~\ref{fig:single:annotated_full_waveform}) was then constructed by adding its beacon and air shower waveforms and band-passing with relevant frequencies (here $30$ and $80\MHz$ are taken by default).
-Of course, a gaussian white noise component is introduced to the waveform as a simple noise model (see Figure~\ref{fig:sine:time_accuracy} for a treatise on the timing accuracy of a sine beacon).
+The final waveform of an antenna (see Figure~\ref{fig:single:proton}) was then constructed by adding its beacon and air shower waveforms and band-passing with relevant frequencies (here $30$ and $80\MHz$ are taken by default).
+Of course, a gaussian white noise component is introduced to the waveform as a simple noise model (see Figure~\ref{fig:sine:snr_time_resolution} for a treatise on the timing accuracy of a sine beacon).
 \\
 
 \begin{figure}% <<<
@@ -172,12 +172,10 @@ Of course, a gaussian white noise component is introduced to the waveform as a s
 \begin{figure}% <<<
 	\begin{subfigure}[t]{0.49\textwidth}
 		\includegraphics[width=\textwidth]{ZH_simulation/ba_measure_beacon_phase.py.A74.no_mask.zoomed.pdf}
-		\label{fig:single:annotated_full_waveform}
 	\end{subfigure}
 	\hfill
 	\begin{subfigure}[t]{0.49\textwidth}
 		\includegraphics[width=\textwidth]{ZH_simulation/ba_measure_beacon_phase.py.A74.fourier.pdf}
-		\label{fig:single:fourier}
 	\end{subfigure}
 	\caption{
 		\textit{Left:}
@@ -204,7 +202,7 @@ Moreover, it falls in the order of magnitude of clock defects that were found in
 % separate air shower from beacon
 To correctly recover the beacon from the waveform, it must be separated from the air shower.
 Typically, a trigger sets the location of the airshower signal in the waveform.
-In our case, the airshower signal is located at $t=500\ns$ (see Figure~\ref{fig:single:annotated_full_waveform}).
+In our case, the airshower signal is located at $t=500\ns$ (see Figure~\ref{fig:single:proton}).
 Since the beacon can be recorded for much longer than the air shower signal, we mask a window of $500$ samples around the maximum of the trace as the air shower's signal.
 % measure beacon phase, remove distance phase
 The remaining waveform is fed into a \gls{DTFT} \eqref{eq:fourier:dtft} to measure the beacon's phase $\pMeas$ and amplitude.