M83
Data from S.S. Larsen & T. Richtler from the Danish 1.45m telescope (European Southern Observatory).
I did NOT take the data for this image myself!
Here's what I did, with the help of Jayanne English's "Cosmos vs. Canvas" workshop (see link at end):
1. Downloaded six FITS data files from the Nasa Extragalactic Database (NED) (nedwww.ipac.caltech.edu/), taken at six different wavelengths ranging from 3600 Angstrom to 7837 Angstrom
2. "Stretched" the FITS files using ds9, a FITS manipulator, in order to show all interesting parts of the data
3. Using Photoshop, combined the images as "screened" layers; colourized each layer according to wavelength, roughly as bluer (shorter wavelength) to redder (longer wavelength). H_alpha emission was rendered pink/magenta.
4. Blended the layers using various opacities and playing with the curves until I achieved a visually appealing result.
5. Edited out saturation lines
6. Rotated and cropped from original orientation to provide a more visually appealing image
Jayanne English's visualization website:
M83
Data from S.S. Larsen & T. Richtler from the Danish 1.45m telescope (European Southern Observatory).
I did NOT take the data for this image myself!
Here's what I did, with the help of Jayanne English's "Cosmos vs. Canvas" workshop (see link at end):
1. Downloaded six FITS data files from the Nasa Extragalactic Database (NED) (nedwww.ipac.caltech.edu/), taken at six different wavelengths ranging from 3600 Angstrom to 7837 Angstrom
2. "Stretched" the FITS files using ds9, a FITS manipulator, in order to show all interesting parts of the data
3. Using Photoshop, combined the images as "screened" layers; colourized each layer according to wavelength, roughly as bluer (shorter wavelength) to redder (longer wavelength). H_alpha emission was rendered pink/magenta.
4. Blended the layers using various opacities and playing with the curves until I achieved a visually appealing result.
5. Edited out saturation lines
6. Rotated and cropped from original orientation to provide a more visually appealing image
Jayanne English's visualization website: