Revision as of 17:59, 31 August 2020 by FuzzyBot (talk | contribs) (Importing a new version from external source)
  • Mono_Preprocessing.ssf: script for monochrome DSLR or Astro camera preprocessing, uses biases, flats and darks, registers and stacks the images. To use it: put your files (RAW or FITs) in the folders named 'lights', 'darks', 'flats' and 'biases' (in the SiriL default working folder), then run the script. When the script ends, you get a monochrome file named result.fit.
  • OSC_Preprocessing.ssf: same script as above but for One-Shot Color (OSC) DSLR or Astro camera. To use it: put your files (RAW or FITs) in the folders named 'lights', 'darks', 'flats' and 'biases' (in the SiriL default working folder), then run the script. When the script ends, you get a RGB file named result.fit.
  • OSC_Preprocessing_WithDrizzle.ssf: same script as above with resize of images by 2x2. Beware, this script takes much more time and disk space. To use it: put your files (RAW or FITs) in the folders named 'lights', 'darks', 'flats' and 'biases' (in the SiriL default working folder), then run the script. When the script ends, you get a RGB file named result.fit.
  • OSC_Extract_Ha.ssf: script for OSC DSLR or astro camera preprocessing, for use with Ha filter or dual-band filter. This script extracts the Ha layer of the color image. To use it: put your files (RAW or FITs) in the folders named 'lights', 'darks', 'flats' and 'biases' (in the SiriL default working folder), then run the script. When the script ends, you get a monochrome file named Ha_result.fit.
  • OSC_Extract_HaOIII.ssf: same script as above, but extracts Ha and OIII layers of the color image. To use it: put your files (RAW or FITs) in the folders named 'lights', 'darks', 'flats' and 'biases' (in the SiriL default working folder), then run the script. When the script ends, you get 2 monochrome files named Ha_result.fit and OIII_result.fit. You can also use the menu 'Image Processing' then 'RGB compositing' and put Ha_result in Red layer and OIII_result in Green and Blue layers to get a HOO image.