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\section{Overview}\label{sec:intro}  This document presents a parametric model to help design an Interferometric Array. The One aspect of Array Design is the  value vs. cost trade-offis an  inherent aspect in to  many of the decisions involved in the design process. its parameters.  This document focuses in the is a  Multiple Objective Analysis problem that the trade-off constitutes. problem.  This document describes design parameters in \S~\ref{sec:var} and a set of value objectives for them in \S~\ref{sec:obj}. A python code spreadsheet  that uses these design parameters and value relationships to enable produces a CSV for  analysis of the emerging  Pareto front is introduced in \S~\ref{sec:python}. \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 design parameters that might influence the selected performance objectives in \S~\ref{sec:obj}.  \subsection{Antenna Aspects} 
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\end{equation}  in $K\$$.  \subsubsection{Cost of Re-configuration Systems Construction}  \section{Data for visual analytics - Python Implementation}\label{sec:python} Spreadsheet implementation}\label{sec:spreadsheet}  This section presents a python code spreadsheet  that produces data in the right format for performing visual analytics, consistent with variables in \S~\ref{sec:var} and objectives in \S~\ref{sec:obj}. \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.