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	Thesis: Introduction: better typesetting of fig1.2
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		|  | @ -35,7 +35,7 @@ For very high energies, above $10^{6}\GeV$, the flux approaches one particle per | |||
| At these high energies, the incoming particles are primarily cosmic rays\footnote{These are therefore known as \glspl{UHECR}.}, atomic nuclei typically ranging from protons ($Z=1$) up to iron ($Z=26$). | ||||
| Because these are charged, the various magnetic fields they pass through will deflect and randomise their trajectories. | ||||
| Of course, this effect is dependent on the strength and size of the magnetic field and the speed of the particle. | ||||
| It is therefore only at the very highest energies that the direction of an initial particle might be used to (conservatively) estimate the direction of its origin.\Todo{Harm rephrase} | ||||
| It is therefore only at the very highest energies that the direction of an initial particle might be used to (conservatively) infer the direction of its origin. | ||||
| \\ | ||||
| 
 | ||||
| % CR: galaxy / extra-galactic | ||||
|  | @ -54,7 +54,6 @@ Unfortunately, aside from both being much less frequent, photons can be absorbed | |||
| %	source / targets | ||||
| %} | ||||
| \\ | ||||
| \pagebreak[1] | ||||
| 
 | ||||
| %>>> | ||||
| %\subsection{Air Showers}%<<< | ||||
|  | @ -66,23 +65,26 @@ This happens until the mean energy per particle is sufficiently lowered from whe | |||
| 
 | ||||
| Figure~\ref{fig:airshower:depth} shows the number of particles as a function of atmospheric depth where $0\;\mathrm{g/cm^2}$ corresponds with the top of the atmosphere. | ||||
| The atmospheric depth at which this number of particles reaches its maximum is called $\Xmax$. | ||||
| \\ | ||||
| The $\Xmax$ is different in Figure~\ref{ref:airshower:depth} for the airshowers generated by a photon, a proton or an iron nucleus. | ||||
| \pagebreak | ||||
| 
 | ||||
| In Figure~\ref{fig:airshower:depth}, $\Xmax$ is different for the airshowers generated by a photon, a proton or an iron nucleus. | ||||
| Typically, heavy nuclei have their first interaction higher up in the atmosphere than protons, with photons penetrating the atmosphere even further. | ||||
| Therefore, accurate measurements of $\Xmax$ allow to statistically discriminate between photons, protons and iron nuclei. | ||||
| \\ | ||||
| 
 | ||||
| \begin{figure}%<<< airshower:depth | ||||
| 	\centering | ||||
| 	\vspace*{-10mm} | ||||
| 	\includegraphics[width=0.5\textwidth]{airshower/shower_development_depth_iron_proton_photon.pdf} | ||||
| 	\caption{ | ||||
| 		From H. Schoorlemmer. | ||||
| 		Shower development as a function of atmospheric depth for an energy of $10^{19}\eV$. | ||||
| 		Typically, iron- and proton-induced air showers have a difference in $\langle \Xmax \rangle$ of $100\;\mathrm{g/cm^2}$~\cite{Deligny:2023yms}. | ||||
| 		Air showers from photons are even further down the atmosphere. | ||||
| 		They are, however, much rarer than cosmic rays. | ||||
| 		For air showers from photons this is even further down the atmosphere. | ||||
| 		They are, however, much more rare than cosmic rays. | ||||
| 	} | ||||
| 	\label{fig:airshower:depth} | ||||
| 	\vspace*{-5mm} | ||||
| \end{figure}%>>> | ||||
| 
 | ||||
| The initial particle type also influences the particle content of an air shower. | ||||
|  | @ -92,6 +94,7 @@ Each component shows particular development and can be related to different obse | |||
| For example, detecting a large hadronic component means the initial particle has access to hadronic interactions (creating hadrons such as pions, kaons, etc.) which is a typical sign of a cosmic ray. | ||||
| In contrast, for an initial photon, which cannot interact hadronicly, the energy will be dumped into the electromagnetic part of the air shower, mainly producing electrons, positrons and photons. | ||||
| \\ | ||||
| 
 | ||||
| Finally, any charged pions created in the air shower will decay into muons while still in the atmosphere, thus comprising the muonic component. | ||||
| The lifetime, and ease of penetration of relativistic muons allow them to propagate to the Earth's surface, even if other particles have decayed or have been absorbed in the atmosphere. | ||||
| These are therefore prime candidates for air shower detectors on the Earth's surface. | ||||
|  | @ -141,6 +144,7 @@ It is therefore crucial for radio detection to obtain measurements in this regio | |||
| 		See text for explanation. | ||||
| 	} | ||||
| 	\label{fig:airshower:polarisation} | ||||
| 	\vspace{-2mm} | ||||
| \end{figure}%>>>>>> | ||||
| %>>>>>> | ||||
| 
 | ||||
|  | @ -157,7 +161,7 @@ Unfortunately, this timing accuracy is not continuously achieved by \glspl{GNSS} | |||
| For example, in the~\gls{AERA}, this was found to range up to multiple tens of nanoseconds over the course of a single day\cite{PierreAuger:2015aqe}. | ||||
| \\ | ||||
| 
 | ||||
| \pagebreak | ||||
| \pagebreak[1] | ||||
| 
 | ||||
| % Structure summary | ||||
| This thesis investigates a relatively straightforward method (and its limits) to improve the timing accuracy of air shower radio detectors | ||||
|  | @ -170,11 +174,15 @@ This will be used later on and gives an insight into the timing accuracy require | |||
| \\ | ||||
| Chapter~\ref{sec:waveform} reviews some typical techniques to analyse waveforms and to obtain timing information from them. | ||||
| \\ | ||||
| In Chapter~\ref{sec:disciplining} the concept of a beacon transmitter is introduced to synchronise an array of radio antennas. | ||||
| 
 | ||||
| In Chapter~\ref{sec:disciplining}, the concept of a beacon transmitter is introduced to synchronise an array of radio antennas. | ||||
| It demonstrates the achievable timing accuracy for a sine and pulse beacon using the techniques described in the preceding chapter. | ||||
| \\ | ||||
| When the timing accuracy of the \gls{GNSS} is in the order periodicity of a continuous beacon, the synchronisation is impaired. | ||||
| 
 | ||||
| 
 | ||||
| A degeneracy in the synchronisation is encountered when the timing accuracy of the \gls{GNSS} is in the order of the periodicity of a continuous beacon. | ||||
| Chapter~\ref{sec:single_sine_sync} establishes a method using a single sine wave beacon while using the radio interferometric approach to observe an air shower and correct for this effect. | ||||
| \\ | ||||
| Finally, Chapter~\ref{sec:gnss_accuracy} investigates limitations of the current hardware of \gls{GRAND} and its ability to record and reconstruct a beacon signal. | ||||
| 
 | ||||
| Finally, Chapter~\ref{sec:gnss_accuracy} investigates some possible limitations of the current hardware of \gls{GRAND} and its ability to record and reconstruct a beacon signal. | ||||
| \end{document} | ||||
|  |  | |||
|  | @ -20,11 +20,13 @@ For suitable frequencies, an array of radio antennas can be used as an interfero | |||
| Therefore, air showers can be analysed using radio interferometry. | ||||
| Note that since the radio waves are mainly caused by processes involving electrons, any derived properties are tied to the electromagnetic component of the air shower. | ||||
| \\ | ||||
| 
 | ||||
| In Reference~\cite{Schoorlemmer:2020low}, a technique was developed to obtain properties of an air shower using radio interferometry.% | ||||
| \footnote{ | ||||
| 	Available as a python package at \url{https://gitlab.com/harmscho/asira}. | ||||
| } | ||||
| A power mapping of a simulated air shower is shown in Figure~\ref{fig:radio_air_shower}. | ||||
| It exploits the coherent emissions in the air shower by mapping the power. | ||||
| Such a power mapping (of a simulated air shower) is shown in Figure~\ref{fig:radio_air_shower}. | ||||
| It reveals the air shower in one vertical and three horizontal slices. | ||||
| Analysing the power mapping, we can then infer properties of the air shower such as the shower axis and $\Xmax$. | ||||
| \\ | ||||
|  | @ -35,6 +37,7 @@ For detector synchronisations under $2\ns$, the atmospheric depth resolution is | |||
| With a difference in $\langle \Xmax \rangle$ of $\sim 100\,\mathrm{g/cm^2}$ between iron and proton initiated air showers, this depth of shower maximum resolution allows to study the mass composition of cosmic rays. | ||||
| However, for worse synchronisations, the $\Xmax$ resolution for interferometry degrades linearly. | ||||
| \\ | ||||
| 
 | ||||
| An advantage of radio antennas with respect to fluorescence detectors is the increased duty-cycle. | ||||
| Fluorescence detectors require clear, moonless nights, resulting in a duty-cycle of about $10\%$ whereas radio detectors have a near permanent duty-cycle. | ||||
| \\ | ||||
|  |  | |||
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