Astronomy and Astrophysics – Astrophysics
Scientific paper
Nov 2008
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2008istsp...2..697i&link_type=abstract
IEEE Journal of Selected Topics in Signal Processing, Vol. 2, Issue 5, p.697-706
Astronomy and Astrophysics
Astrophysics
Scientific paper
We present an application of nonnegative matrix factorization (NMF) in astrophysics. It consists of the study of ice mixtures obtained in the laboratory. They simulate real astrophysical ices. The goal is to identify the molecules that are present in the ice mixtures. The data correspond to the infrared absorption spectra of ices formed by different combinations of molecules. The spectra and abundances are nonnegative, allowing the application of NMF. In addition, the statistics of the spectra correspond to supergaussian signals, so a sparseness restriction can be added. We review some NMF algorithms imposing sparseness in a Bayesian framework. We perform several simulations with artificial mixtures of ices in order to compare the algorithms and with real mixtures to show the usefulness of the approach. NMF is revealed as a powerful technique to analyze large databases in order to determine the compounds present in every ice.
Igual J.
Llinares R.
No associations
LandOfFree
Nonnegative Matrix Factorization of Laboratory Astrophysical Ice Mixtures 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 Nonnegative Matrix Factorization of Laboratory Astrophysical Ice Mixtures, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Nonnegative Matrix Factorization of Laboratory Astrophysical Ice Mixtures will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-747709