Astronomy and Astrophysics – Astronomy
Scientific paper
May 1996
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1996mnras.280..616j&link_type=abstract
Monthly Notices of the Royal Astronomical Society, Vol. Vol. 280, No. 2, p. 616 - 626
Astronomy and Astrophysics
Astronomy
7
Methods: Data Analysis -- Methods: Statistical -- Ism: Clouds -- Ism: Individual: Dc302.6-159 -- Ism: Kinematics And Dynamics -- Radio Lines: Ism, Carbon Monoxide: Dark Clouds, Carbon Monoxide: Globules, Molecular Spectra: Dark Clouds, Molecular Spectra: Globules, Kinematics: Dark Clouds
Scientific paper
The authors present an analysis of 12CO spectra of the Thumbprint Nebula using a new method, positive matrix factorization (PMF). The complexity of the observed spectra and especially the non-Gaussian nature of the profiles make traditional analysis using fitted Gaussians impractical. Good results are obtained, however, with the use of PMF. PMF has already been applied to a large variety of problems and the authors present the first application of this method to the analysis of molecular emission line measurements. The method assumes the spectra to be the sum of a few basic components in velocity space and can determine the shapes as well as the intensities of the components. The only restriction is the positivity of both the basic profiles and their intensities. This prerequisite is sufficient to limit the range of possible solutions and to guarantee results that are easier to interpret than those determined by similar traditional methods, principal component analysis and factor analysis. PMF is also able to point out the existence of features that are contrary to the model assumptions, e.g. the existence of velocity gradients. In this article the authors explain the principles of PMF and illustrate its use with some simulated data before turning to the analysis of the 12CO spectra of the Thumbprint Nebula.
Juvela Mika
Lehtinen Kimmo K.
Paatero Pentti
No associations
LandOfFree
The use of positive matrix factorization in the analysis of molecular line spectra. 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 The use of positive matrix factorization in the analysis of molecular line spectra., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and The use of positive matrix factorization in the analysis of molecular line spectra. will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-1418905