SUMMARY
The discussion clarifies the distinction between 1D and 2D spectra in spectroscopy. A 2D spectrum is obtained from a CCD after exposure with a spectrograph, representing the object across multiple pixels. To derive a 1D spectrum, users sum the pixel counts from the 2D profile along a row or column, resulting in a vector of total counts versus pixel number. Tools like Ghostview and Ghostscript are necessary for reading PostScript files, while additional complexities arise with Echelle spectrographs and multi-object spectrographs.
PREREQUISITES
- Understanding of CCD imaging in spectroscopy
- Familiarity with 1D and 2D data representation
- Knowledge of Ghostview and Ghostscript for file reading
- Basic Unix command line skills
NEXT STEPS
- Learn how to process 2D spectra using IRAF tools
- Explore the functionality of Echelle spectrographs in detail
- Research multi-object spectrograph techniques and applications
- Understand file compression methods, specifically .Z files and their handling
USEFUL FOR
Researchers in spectroscopy, astrophysics students, and professionals working with CCD imaging and spectral analysis will benefit from this discussion.