Quote:
Originally Posted by CraigS
Hi Guys;
I'm not in a position to be anything other than interested in Spectroscopy, but I'm very interested to learn more.
So I have a question that perhaps you could help me with .. does the software you're using run any algorithms to improve the signal-noise ? For instance, if the spectrum of a particular element is known, this spectrum can be applied using a mathematical function called 'auto-correlation' to extract that spectrum from an observed, noisy spectrum. Does the post processing software you're using make use of such techniques?
Thanks for your comments.
Cheers & Rgds.
|
G'Day Craig,
I think there's a couple of things your talking about Craig.
Bojan is right as far as improving signal to noise... it's the same as any other AP. Long exposures and/or stacks of images.
As for identifying spectral lines, there are plenty of aids but not really any automatic lines identifiers.
For example, it doesn't take long to learn to that there is a dominant adborption band about 7600A (1 Angstrom = 1x10^-10m) which is caused by atmospheric oxygen. A lot of stars also have either Hydrogen absorption lines or emission lines, and these are very quickly learned. Once you know two lines, the software lets you use these two lines to calibrate your spectrum. If you don't change the setup of your spectroscope, all your spectra will have the same dispersion (angstroms per pixel) so then you really only need to identify one line to be in business
.
Once your spectrum is calibrated, there are tools that allow you to overlay the lines for most of the elements.
Al.