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Order Definition



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Order Definition

  The dispersion relation is defined by the following equations:

 

The first of the equations gif defines the position of the spectral orders, m, in the raw image, while the second equation gives, for each order, the dispersion relation in one dimension. The mapping between the spaces and is separated into two different equations; the first one will be discussed in this Section, while the description of the second equation will be postponed to Section gif.

The function is approximated by a polynomial of the form

 

where the coefficients are computed using least squares techniques on a grid , i.e. sample number and line number of points located within the spectral orders of the image. These points in the grid are found automatically by an order--following algorithm, normally using the FLAT or STD image.

This set of points forms the basic grid with the geometric positions of the orders. Typical values of the standard deviation of the residuals of this approximation are about 0.3 to 0.1 pixel.

It is worth mentioning here that the order  following algorithm finds the center of the orders by taking the middle point with respect to the edges of the orders. The edges of the orders are detected automatically by thresholding the order profiles, perpendicular to the dispersion direction; the level of the threshold is a function of the signal in the order. The command DEFINE/ECHELLE performs the automatic order detection.

An alternative method is available, based on the Hough transform to perform the order detection and involving a tracing algorithm able to estimate an optimal threshold for each order independently. The order definition is performed as follows:

A practical decription of the way to use this algorithm and to optimise the parameters is described in the Appendix gif



next up previous contents
Next: Removal of particle Up: Echelle Spectra Previous: General Description



Pascal Ballester
Tue Mar 28 16:52:29 MET DST 1995