Difference between revisions of "Using QL outputs"

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(Created page with "== Overview == The QL Tool produces quick-look products, but there are some straightforward steps allowing users to use these as a starting point for their science quality re...")
 
(Important Notes)
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i.e. in python, to reproduce the same transformation:<br />
+
i.e. in python, to reproduce the same transformation, one would do:<br />
  
 
from astropy.io import fits<br />
 
from astropy.io import fits<br />
 +
 
im2D = fits.getdata('image.fits')<br />
 
im2D = fits.getdata('image.fits')<br />
  
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fits.writeto('outimage.fits',im2D)<br />
 
fits.writeto('outimage.fits',im2D)<br />
 +
This image could then be used for a fresh extraction using IRAF or the user's preffered package, and will be one-to-one pixel aligned with the [approximate] WLC from the 1D extracted arc.
 +
 +
 +
In IRAF, the equivalent would be:</ br>
 +
imcopy a0361665[-*,*] test.fits</ br>
 +
imcopy test.fits[99:2146,*] out65.fits</br >
 +
[Note the 1-based indexing]

Revision as of 10:24, 22 December 2016

Overview

The QL Tool produces quick-look products, but there are some straightforward steps allowing users to use these as a starting point for their science quality reductions

Important Notes

In going from the raw 2D images to the 1D extractions produce by the QL Tool:

  • The x axis is flipped so that increasing wavelength runs in the same direction as increasing x
  • The spectra are then trimmed to remove overscan, etc.

The exact values for these are stored in: /usr/local/etc/qlgui/pars.json

"badMax0": 98,

"badMin1": 2145,

in python 0-based numbering.


i.e. in python, to reproduce the same transformation, one would do:

from astropy.io import fits

im2D = fits.getdata('image.fits')

im2D = im2D[:,-:] # flip x

im2D = im2D[:,98:2145] # trim

fits.writeto('outimage.fits',im2D)
This image could then be used for a fresh extraction using IRAF or the user's preffered package, and will be one-to-one pixel aligned with the [approximate] WLC from the 1D extracted arc.


In IRAF, the equivalent would be:</ br> imcopy a0361665[-*,*] test.fits</ br> imcopy test.fits[99:2146,*] out65.fits</br > [Note the 1-based indexing]