this is for holding javascript data
Nick Konidaris edited Pipeline steps.tex
about 9 years ago
Commit id: 9c225f5803f89c8821d84d6d940020d164b75136
deletions | additions
diff --git a/Pipeline steps.tex b/Pipeline steps.tex
index 5a23237..d834eb9 100644
--- a/Pipeline steps.tex
+++ b/Pipeline steps.tex
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\subsubsection{Input}
\begin{itemize}
\item dome.fits -- bias subtracted flat field field (float).
\item
seg_dome.fits seg\_dome.fits -- segmentation map of flat field file (int).
\end{itemize}
\subsubsection{Output}
dome.fits_segments.npy dome.fits\_segments.npy contains a list (length the number of segments) of dictionaries. Each dictionary contains information about the location of each segment.
\begin{itemize}
\item ok (boolean) -- The segment has more than 50 illuminated pixels
\item means ([float]) -- The mean Y location of each pixel in the trace. It's length is usually between 200 to 270 pixels long.
\item xs ([float]) -- The X location of each pixel. It's length is the same as means. The ridgeline of the trace is constructed from the points in (xs, means).
\item
trace_sigma trace\_sigma (float) -- The 1 $\sigma$ width of the trace. An in focus image should have a FWHM of about 2.5 pixels and thus sigma should be about 1.06.
\item poly ([float]) -- A list of polynomial coefficients of order len(poly)-1 that is the best fit line to (xs, means). The bulk of this step's work is to derive poly.
\end{itemize}