Astronomy and Astrophysics – Astronomy
Scientific paper
Aug 2008
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2008aspc..394..505s&link_type=abstract
Astronomical Data Analysis Software and Systems ASP Conference Series, Vol. 394, Proceedings of the conference held 23-26 Septem
Astronomy and Astrophysics
Astronomy
2
Scientific paper
The signal-to-noise ratio (SNR) of a spectrum is a very useful quality indicator and widely used in astronomy. With the advent of large spectral databases covering many varieties of spectrographs, for example in the context of the Virtual Observatory (VO), a need arose for a common algorithm to estimate SNRs that allows cross comparison between different instruments. We propose such an algorithm. It is in the process of becoming the recommended SNR estimation algorithm in the IVOA Spectrum Data Model. The resulting SNR estimates can be specified in FITS headers and VOTables alongside the existing SNR estimations that most data providers already compute.
Durand Daniel
Fraquelli Dorothy
Freudling Wolfman
Haase Jennifer
Hook Richard R.
No associations
LandOfFree
DER_SNR: A Simple & General Spectroscopic Signal-to-Noise Measurement Algorithm does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with DER_SNR: A Simple & General Spectroscopic Signal-to-Noise Measurement Algorithm, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and DER_SNR: A Simple & General Spectroscopic Signal-to-Noise Measurement Algorithm will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-1691286