ericteunis/m-thesis-documentation
1
0
Fork 0
mirror of https://gitlab.science.ru.nl/mthesis-edeboone/m.internship-documentation.git synced 2024-11-22 07:03:30 +01:00
Code Issues Projects Releases Packages Wiki Activity

Thesis: Random writes

Browse source
This commit is contained in:
Eric Teunis de Boone 2023-11-04 17:34:14 +01:00
parent 19d797c282
commit 7c963e83a3
4 changed files with 9 additions and 7 deletions
Show stats Download patch file Download diff file Expand all files Collapse all files

4
documents/thesis/chapters/appendix-random-phasor.tex
View file

@ -74,7 +74,7 @@ for which the mean is $\bar{a} = \sigma \sqrt{\frac{\pi}{2}}$ and the standard~d
\end{subfigure}
\caption{
Marginal distribution functions of the noise phasor.
\Todo{expand captions}
\protect \Todo{expand captions}
Rayleigh and Rice distributions.
}
\label{fig:noise:pdf}
@ -150,7 +150,7 @@ Meanwhile, it approaches a gaussian distribution around $s$ when a strong signal
\caption{
A signal phasor's amplitude in the presence of noise will follow a Rician distribution.
For strong signals, this approximates a gaussian distribution, while for weak signals, this approaches a Rayleigh distribution.
\Todo{expand captions}
\protect \Todo{expand captions}
}
\label{fig:phasor_sum:pdf}
\end{figure}

4
documents/thesis/chapters/beacon_discipline.tex
View file

@ -11,7 +11,9 @@
\chapter{Synchronising Detectors with a Beacon Signal}
\label{sec:disciplining}
The detection of extensive air showers uses detectors distributed over large areas. %<<<
Solutions for precise timing ($< 0.1\ns$) over large distances exist for cabled setups, e.g.~White~Rabbit~\cite{Serrano:2009wrp}.
Solutions for precise timing ($< 0.1\ns$) over large distances exist.
Initially developed for fibre-optic setups, White~Rabbit~\cite{Serrano:2009wrp} is also being investigated to be used as a direct wireless time dissemination system~\cite{Gilligan:WR-over-mm-wave}.
\\
However, the combination of large distances and the number of detectors make it prohibitively expensive to realise such a setup for \gls{UHECR} detection.
For this reason, the time synchronisation of these autonomous stations is typically performed with a \gls{GNSS} clock in each station.
\\

4
documents/thesis/chapters/conclusion.tex
View file

@ -13,8 +13,8 @@
%<<<
Using radio antennas to detect \glspl{UHECR} has received much attention recently.
The \acrlong{Auger} is currently being upgraded to \gls{AugerPrime} incorporating radio detectors with scintillators and water-cherenkov detectors.
Other experiments, such as \gls{GRAND}, plan\Todo{word} to fully rely on radio detection only.
The \acrlong{Auger} is currently being upgraded to \gls{AugerPrime} incorporating radio and scintillation detectors together with the already existing water-Cherenkov and fluorescence detectors.
Other experiments, such as \gls{GRAND}, envision to rely only on radio measurements of an \gls{EAS}.
\\
% Timing not enough
Time information in such large observatories is typically distributed using \glspl{GNSS}, reaching up to $10\ns$ accuracy under very good conditions.

2
documents/thesis/chapters/radio_measurement.tex
View file

@ -40,7 +40,7 @@ For example, in \gls{AERA} and AugerPrime's RD\Todo{RD name} the filter attenuat
\\
In addition to a bandpass filter, more complex filter setups are used to remove unwanted components or introduce attenuation at specific frequencies.
For example, in \gls{GRAND}, the total frequency band ranges from $20\MHz$ to $200\MHz$
such that the FM broadcast band ($87.5\MHz \text{--} 108\MHz$) falls within this range.
such that the FM broadcasting band ($87.5\MHz \text{--} 108\MHz$) falls within this range.
Therefore, notch filters have been introduced to suppress signals in this band.
\Todo{citation?}
\\