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214 lines
10 KiB
TeX
214 lines
10 KiB
TeX
% vim: fdm=marker fmr=<<<,>>>
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\documentclass[../thesis.tex]{subfiles}
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\graphicspath{
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{.}
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{../../figures/}
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{../../../figures/}
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}
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\begin{document}
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\chapter{Introduction}
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\label{sec:introduction}
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%<<<
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% Intro Cosmic Ray
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In the beginning of the $\mathrm{20^{th}}$~century, various types of radiation were discovered.
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With the balloonflight of Victor Hess \Todo{ref} in 1912, one type was determined to come from beyond the atmosphere and therefore labelled ``Cosmic Rays''.
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With many discoveries following, the field of (astro-)particle physics evolved.
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\\
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% Current state, (nudge to radio)
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Large collaborations are now detecting cosmic rays with a variety of methods over a large range of energy (see Figure~\ref{fig:cr_flux}).
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Still, questions on their origin remain.\Todo{list questions or remove}
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\\
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% Radio
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In the last decade, the detection using radio antennas has received significant attention \Todo{ref}, such that collaborations such as \gls{GRAND} are building observatoria that fully rely on radio measurements.
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%
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For such radio arrays, the analyses require an accurate timing of signals within the array.
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Generally, \glspl{GNSS} are used to synchronise the detectors.
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However, advanced analyses require an even higher accuracy than currently achieved with these systems.
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\\
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This thesis investigates a relatively straightforward method (and its limits) to obtain this required timing accuracy for radio arrays.
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\\
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% >>>
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\section{Cosmic Particles}%<<<<<<
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%<<<
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\label{sec:crs}
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%Particles from outer space,
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%Particle type,
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%Energy,
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%magnetic fields -- origin,
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%
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%\hrule
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% Cosmic Particles = CR + Photon + Neutrino
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There is a variety of extra terrestrial particles with which the Earth is bombarded.
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These can be classified into three main types: charged nuclei (typically protons $Z=1$ up to iron $Z=26$), photons and neutrinos, each with different propagation effects.
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\\
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The charged nuclei are the bulk of the measured particles.
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The various magnetic fields that they travel through deflect them due to their charge.
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Because of this, they do not point back to their sources.
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\\
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Photons do not suffer from being charged, and thus have the potential to identify their sources.
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However, they can be absorbed and created by multiple mechanisms.\Todo{rephrase/expand}
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\\
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Finally, neutrino's interact weakly, thus pointing back to their sources as well.
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Unfortunately, this weak interaction also troubles the detection of the neutrino's.\Todo{rephrase}
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\\
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Note that cosmic rays are deemed\Todo{rephrase} to be charged nuclei.
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\\
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\begin{figure}%<<< cr_flux
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\centering
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\includegraphics[width=0.8\textwidth]{astroparticle/The_CR_spectrum_2023.pdf}
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\caption{
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From \protect \cite{The_CR_spectrum}.
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Cosmic Ray flux as a function of energy-per-nucleon.
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}
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\label{fig:cr_flux}
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\end{figure}%>>>
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% Energy
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Cosmic rays span a large range of energy and flux as illustrated in Figure~\ref{fig:cr_flux}.
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The acceleration of cosmic rays is thought to occur in highly energetic regions\Todo{expand}
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\\
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Using the charged nuclei, an argument can be made to distinguish two types of sources.
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\\
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Being charged, the nuclei will gyrate in magnetic fields.
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With an approximate size of $ $\Todo{size} and an average magnetic field of $5\mathrm{\;\mu G}$\Todo{}, the Milky Way can only contain particles up to an energy of about $10^{17}\eV$\Todo{fill}.
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Still, particles with higher energies have been observed (see Figure~\ref{fig:}).
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These higher energy particles must thus come from beyond our galaxy.
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\Todo{rewrite paragraph}
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\\
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Likewise, with an rapidly increasing flux for lower energies, one component can be assorted\Todo{rephrase} as coming from within the galaxy.
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\\
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%>>>
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\subsection{Air Showers}%<<<
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\label{sec:airshowers}
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%Particle cascades,
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%Xmax?,
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%Radio emission,
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%
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%\hrule
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When a particle with an energy above $1\;\TeV$ comes into contact with the atmosphere, secondary particles are generated, forming an air shower.
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This air shower consists of a cascade of interactions producing more particles that subsequently undergo further interactions.
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Thus, the number of particles rapidly increases further down the air shower.
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This happens until the energy is spread out\Todo{word} enough that the number of interactions decreases.
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\\
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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.
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The atmospheric depth at which this number of particles reaches its maximum is called $\Xmax$.
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\\
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In Figure~\ref{fig:airshower:depth} the \Xmax is different for a photon, a proton and iron.
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Typically, heavy nuclei have their first interaction higher up in the atmosphere than protons, with photons penetrating the atmosphere even further.
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Therefore, measurements of $\Xmax$ allow to statistically discriminate between photons, protons and iron nuclei.
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\\
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The initial particle type also influences the particle content of an air shower.
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Protons (and other nuclei) have access to hadronic interaction channels (such as pions, kaons, etc.)\Todo{ref?} through which most energy is passed.
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In turn, the resulting air showers contain a large hadronic component.\Todo{check wording}
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\\
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In contrast, an initial photon cannot interact hadronicly, meaning its energy is dumped into the electromagnetic part of the air shower.
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\\
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Finally, any charged pions created in the air shower will decay into muons while still in the atmosphere.
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This muonic component is a reliable part to measure.\Todo{rephrase}
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\\
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These different components have a different width.\Todo{rephrase}
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The hadronic component is greatly collimated, while the electromagnetic component.
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\\
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\Todo{rewrite paragraph}
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\begin{figure}%<<< airshower:depth
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\centering
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\includegraphics[width=0.3\textwidth]{airshower/shower_development_depth_iron_proton_photon.pdf}
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\caption{
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From H. Schoorlemmer.
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Shower development as a function of atmospheric depth for an energy of $10^{19}\eV$.
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}
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\label{fig:airshower:depth}
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\end{figure}%>>>
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% Radio measurements
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Processes in an air showers also generate radiation that can be picked up as coherent radio signals.
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%% Geo Synchro
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Due to the magnetic field of the Earth, the electrons in the air shower generate radiation.
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Termed geomagnetic emission in Figure~\ref{fig:airshower:polarisation}, this has a polarisation that is dependent on the magnetic field vector $\vec{B}$ and the air shower velocity $\vec{v}$.
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\Todo{expand?}
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\\
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%% Askaryan / Charge excess
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An additional mechanism emitting radiation was first theorised by Askaryan\Todo{ref}.
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Due to the large inertia of the positively charged ions with respect to their light, negatively charged electrons, a negative charge excess is created.
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In turn, this generates radiation that is polarised radially towards the shower axis (see Figure~\ref{fig:airshower:polarisation}).
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\\
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%% Cherenkov ring
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The relativistic speeds of the particles cause any radiation that is produced in the air shower to be forward beamed along the shower axis.
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Additionally, the shower travels faster than the speed of light in the atmosphere.
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This generates an
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The detection of the radio signals is limited to an
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This is limited by the so-called Cherenkov angle.
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\Todo{finish paragraph}
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\begin{figure}%<<< airshower:polarisation
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\centering
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\begin{subfigure}{0.47\textwidth}
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\includegraphics[width=\textwidth]{airshower/airshower_radio_polarisation_geomagnetic.png}%
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\caption{
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Geomagnetic emission
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}
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\label{fig:airshower:polarisation:geomagnetic}
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\end{subfigure}
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\hfill
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\begin{subfigure}{0.47\textwidth}
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\includegraphics[width=\textwidth]{airshower/airshower_radio_polarisation_askaryan.png}%
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\caption{
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Askaryan or charge-excess emission
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}
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\label{fig:airshower:polarisation:askaryan}
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\end{subfigure}
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\caption{
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From \protect \cite{Schoorlemmer:2012xpa, Huege:2017bqv}
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\protect \Todo{Krijn?}
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The Radio Emission mechanisms and the resulting polarisations of the radio signal: \subref{fig:airshower:polarisation:geomagnetic} geomagnetic and \subref{fig:airshower:polarisation:askaryan} charge-excess)
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See text for explanation.
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}
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\label{fig:airshower:polarisation}
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\end{figure}%>>>>>>
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%>>>>>>
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%\subsection{Experiments}%<<<
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%\label{sec:detectors}
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\bigskip
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At the very highest energy, the flux is in the order of one particle per square kilometer per century (see Figure~\ref{fig:cr_flux}).
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Observatories therefore have to span huge areas to gather decent statistics at these highest energies on a practical timescale.
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In recent and upcoming experiments, such as \gls{Auger}, \gls{GRAND} or \gls{LOFAR}, the approach is typically to instrument an area with a sparse grid of detectors to detect the generated air shower.
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With distances up to $1.5\;\mathrm{km}$ (\gls{Auger}), the detectors therefore have to operate in a self-sufficient manner\Todo{word} with only wireless communication channels.
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\\
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These standalone detectors typically receive their timing from a \gls{GNSS}.
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Previously, for timing of water-Cherenkov detectors, this timing accuracy was better than the resolved data.
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Even for the first analyses of radio data, this was sufficient.
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However, for advanced analyses such as radio interferometry, the timing accuracy must be improved.
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\\
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% Structure summary
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In this thesis, a solution to enhance the timing accuracy of air shower radio detectors is demonstrated.
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First, an introduction to radio interferometry is given in Chapter~\ref{sec:interferometry}.
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This will be used later on and gives an insight into the timing accuracy requirements.
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\\
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Chapter~\ref{sec:waveform} reviews typical techniques to analyse waveforms to obtain timing information.
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\\
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Chapter~\ref{sec:disciplining} introduces the concept of a beacon transmitter to synchronise an array of radio antennas and constrains the achievable timing accuracy using the techniques described in the preceding chapter.
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\\
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Chapter~\ref{sec:single_sine_sync} establishes a method to synchronise an array using a single sine wave beacon while using the radio interferometric approach to resolve\Todo{word} an airshower.
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\\
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Finally, Chapter~\ref{sec:gnss_accuracy} investigates the limitations of the current hardware of \gls{GRAND} and its ability to record and reconstruct a beacon signal.
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\end{document}
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