Commit 69a7c1cd authored by Philipp Arras's avatar Philipp Arras
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\begin{document}
\maketitle
\VerbatimFootnotes
\section*{Why should I read this guide?}
Let us define: $d$ is the data vector and $s$ is the physical field, you want to
learn from $d$ in a Bayesian fashion.
$d$ is the data vector and $s$ is the physical field about which one wants to
learn something given the data $d$ in a Bayesian fashion.
\section*{Why should I read this guide?}
Bayesian reconstruction algorithms may be viewed in terms of three basic
building blocks.
......@@ -97,7 +98,7 @@ in a fashion which is compatible with our inference machinery called NIFTy.
temperature, flux, etc.) which are defined on a continuous space (like time,
space, frequency/energy of electromagnetic radiation). If you've got data,
which tells you something about such a field, keep on reading. If not, you may
use IFT and NIFTy as well but perhaps there are other methods available which
use IFT and NIFTy as well, but there may be other methods available which
fit your needs better.
\item The explanations below shall be pretty general in order to be applicable
to a variety of problems. Therefore, the text might be difficult to understand
......@@ -107,7 +108,7 @@ in a fashion which is compatible with our inference machinery called NIFTy.
just the function itself. Then only \texttt{R(s)} and \texttt{R\_adjoint(d)}
need to be implemented. You do not need to understand what I'm saying already
at this point. Just feel lucky and relax. You may relax anyways.
\item Read the full guide before you start to implement something.
\item Read the full guide before you start implementing something.
\end{itemize}
\section*{Mathematical description of what NIFTy needs}
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