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Demian Arancibia edited untitled.tex
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\usepackage{mathtools}
\section{Overview}
This document presents
a parametric model to help design an aperture synthesis array. It describes the relationship of design parameters in section 2 with performance objectives in section 3.
In particular, this document focus in providing a quick guide to understand the parameter and objectives selection for the reader to both assess completeness of the model, and accuracy of the mathematical relationships as well.
Section 4 provides the python code used to generate a table in the format required to perform a visual analysis of the performance of different arrays generated by the model.
The python code is consistent with parameters and objectives selection, and the mathematical relationships between them.
\section{Design Variables}
This section aims to include all relevant design parameters that might influence the selected performance objectives.
\subsection{Antenna Aspects}
...
\subsubsection{Bands Division}
\subsubsection{Calibration Widgets}
\section{Performance Objectives}
This section aims to include all the array performance
objective objectives that might be influenced by design choices.
\subsection{Minimize Brightness Sensitivity Limit}
If we assume each aperture has the same System Equivalent Flux Density $SEFD$, observes the same bandwidth $\Delta\nu$, during the same correlator accumulation time $\tau_{acc}$, then the weak-source limit in the sensitivity of a synthesis image of a single polarization is
\begin{equation}\label{eq:sens}
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\end{equation}
where $T_{sys}$ is the system temperature including contributions from receiver noise, feed losses, spillover, atmospheric emission, galactic background and cosmic background, $k_B = 1.380 \times 10^{-23}$ Joule $K^{-1}$ is the Boltzmann constant, $A$ is the antenna collecting area, and $\eta_a$ is the antenna efficiency with $\eta_a = \eta_{surface} \cdot \eta_{blockage} \cdot \eta_{spillover} \cdot \eta_{taper}$ (Crane & Napier 1989).
\subsection{Minimize Operations Costs}
The operations cost is a complex problem divided in the sub-problems in this section.
\subsubsection{Minimize Maintenance Costs}
\subsubsection{Minimize Calibration Costs}
\subsubsection{Data Processing Cost}
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