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\section{Overview}\label{sec:intro}  This document presents a parametric model to help design an Interferometric Array. One aspect of Array Design is the value vs. cost trade-off inherent to many of its parameters. This is a Multiple Objective Analysis problem. This document describes design parameters in \S~\ref{sec:var} and a set of value objectives equations  for them cost objectives  in \S~\ref{sec:obj}. A spreadsheet that uses these design parameters and produces a CSV file  for analysis of the emerging Pareto front Front  is introduced in \S~\ref{sec:spreadsheet}. This code is consistent with MOVA framework proposed in \cite{mova}. \section{Parameters}\label{sec:var}  This section aims to include all relevant present selected  design parameters thatmight  influence the selectedperformance  objectives in \S~\ref{sec:obj}. \subsection{Antenna Aspects}  We will select design parameters that apply to many antenna types, including offset Gregorian and symmetric Cassegrain.  \subsubsection{Collecting Area}  We will use $A$ in this document as each array element collecting area (thus we could also write $\pi \cdot D^2$, with $D$ being the dish diameter).  \subsubsection{Efficiency} 
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\section{Visualization Tool Notes}  \section{Conversation notes}  \subsection{Engineering cost vs. Calibration cost}  Tricky because you can compensate antenna quality with software. So the equations must capture this trade off.