Classification of local ultraluminous infrared galaxies and quasars with kernel principal component analysis
Evangelos S. Papaefthymiou, Ioannis Michos, Orestis Pavlou, Vicky, Papadopoulou Lesta, Andreas Efstathiou

TL;DR
This paper introduces a novel diagnostic diagram based on Kernel Principal Component Analysis to classify local ULIRGs and quasars, revealing their evolutionary stages and obscuration levels through geometric and physical property correlations.
Contribution
The study develops a new non-linear mapping technique that links galaxy evolution and obscuration to geometric features on an ellipsoid, extending existing diagnostic tools like the Spoon diagram.
Findings
The diagram effectively distinguishes galaxy evolutionary phases.
It correlates physical properties like silicate and PAH features with galaxy position.
It accurately classifies galaxies with extreme features away from the main distribution.
Abstract
We present a new diagnostic diagram for local ultraluminous infrared galaxies (ULIRGs) and quasars, analysing particularly the Spitzer Space Telescope's Infrared Spectrograph (IRS) spectra of 102 local ULIRGs and 37 Palomar Green quasars. Our diagram is based on a special non-linear mapping of these data, employing the Kernel Principal Component Analysis method. The novelty of this map lies in the fact that it distributes the galaxies under study on the surface of a well-defined ellipsoid, which, in turn, links basic concepts from geometry to physical properties of the galaxies. Particularly, we have found that the equatorial direction of the ellipsoid corresponds to the evolution of the power source of ULIRGs, starting from the pre-merger phase, moving through the starburst-dominated coalescing stage towards the active galactic nucleus (AGN)-dominated phase, and finally terminating…
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