Nick Konidaris edited Pipeline steps.tex  about 9 years ago

Commit id: 9c225f5803f89c8821d84d6d940020d164b75136

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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}