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	Thesis: removing invalid Todos
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					 2 changed files with 3 additions and 11 deletions
				
			
		|  | @ -38,18 +38,16 @@ This chapter starts an investigation into these systematic delays within \gls{GR | |||
| 
 | ||||
| % ADC | ||||
| At the base of every single antenna, a \gls{DU} is mounted. | ||||
| %The \gls{DU} (see Figure~\ref{fig:grand_du}), at the base of every single antenna, is the workhorse of \gls{GRAND}.\Todo{rephrase} | ||||
| Its protective encasing has three inputs to which the different polarisations of the antenna are connected. | ||||
| These inputs are connected to their respective filterchains, leaving a fourth filterchain as spare. | ||||
| Each filterchain bandpasses the signal between $30\MHz$ and $200\MHz$. | ||||
| Finally, the signals are digitised by a four channel 14-bit \gls{ADC} sampling at $500\MHz$. | ||||
| %The input voltage ranges from $-900\mV$ to $+900\mV$. | ||||
| In our setup, the channels are read out after one of two internal ``monitoring'' triggers fire. | ||||
| %The ten-second trigger (TD) is linked to the \gls{1PPS} of the \gls{GNSS} chip. | ||||
| In our setup, the channels are read out after one of two internal ``monitoring'' triggers fire with the ten-second trigger (TD) linked to the \gls{1PPS} of the \gls{GNSS} chip and the other (MD) a variable randomising trigger. | ||||
| \\ | ||||
| 
 | ||||
| % timestamp = GPS + local oscillator | ||||
| %The \gls{DU} timestamps an event using a combination of the 1\gls{PPS} of a Trimble ICM 360 \gls{GNSS} chip\Todo{ref?} and counting the local oscillator running at $500\MHz$. | ||||
| %The \gls{DU} timestamps an event using a combination of the 1\gls{PPS} of a Trimble ICM 360 \gls{GNSS} chip and counting the local oscillator running at $500\MHz$. | ||||
| %At trigger time, the counter value is stored to obtain a timing accuracy of roughly $2\ns$. | ||||
| %The counter is also used to correct for fluctuating intervals of the 1\gls{PPS} by storing and resetting it at each incoming 1\gls{PPS}. | ||||
| 
 | ||||
|  |  | |||
|  | @ -77,7 +77,6 @@ Note that the period mismatch term $\Delta k_{ij}$ in \eqref{eq:synchro_mismatch | |||
| %		\includegraphics[width=\textwidth]{beacon/08_beacon_sync_synchronised_period_alignment.pdf} | ||||
| %		\caption{ | ||||
| %			Lifting period degeneracy ($k=n-m=7$ periods) using the optimal overlap between impulsive signals. | ||||
| %			\protect\Todo{note misaligned overlap due to different locations} | ||||
| %		} | ||||
| %		\label{fig:beacon_sync:period_alignment} | ||||
| %	\end{subfigure} | ||||
|  | @ -91,10 +90,6 @@ Note that the period mismatch term $\Delta k_{ij}$ in \eqref{eq:synchro_mismatch | |||
| %		\subref{fig:beacon_sync:period_alignment}: Expecting the impulsive signals to come from the same source, the overlap between the two impulsive signals is used to lift the period degeneracy ($k=n-m$). | ||||
| %	} | ||||
| %	\label{fig:beacon_sync:sine} | ||||
| %	\protect\Todo{ | ||||
| %		Redo figure without xticks and spines, | ||||
| %		rename $\Delta \tClockPhase$ | ||||
| %	} | ||||
| \end{figure}%>>> | ||||
| 
 | ||||
| % Same transmitter / Static setup | ||||
|  | @ -253,7 +248,6 @@ At each location, after removing propagation delays, each waveform and the refer | |||
| \footnote{%<<< | ||||
| 	Note that one could use a correlation method instead of a maximum to select the best time delay. | ||||
| 	However, for simplicity and ease of computation, this has not been implemented. | ||||
| %\Todo{incomplete p} | ||||
| %As shown in Figure~\ref{fig:single:annotated_full_waveform}, the air shower signal has a length in the order of a few nanoseconds. | ||||
| %Since it is this peak that is of interest, it would have been possible to cut the waveforms such to only correlate the peaks. | ||||
| } %>>> | ||||
|  | @ -346,7 +340,7 @@ The restriction of the possible delays is therefore important to limit the numbe | |||
| \\ | ||||
| 
 | ||||
| % fall in local extremum, maximum | ||||
| In this analysis, the initial grid is defined as $8^\circ$ wide around the true axis.\Todo{why?} | ||||
| In this analysis, the initial grid is defined as $8^\circ$ wide around the true axis. | ||||
| As the number of computations scales linearly with the number of grid points ($N = N_x N_y$), it is favourable to minimise the number of grid locations. | ||||
| Unfortunately, the above process has been observed to fall into local maxima when a too coarse initial grid ($N_x < 13$ at $X=400\,\mathrm{g/cm^2}$) was used while restricting the time delays to $\left| k \right| \leq 3$. | ||||
| \\ | ||||
|  |  | |||
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