Classification of local ultraluminous infrared galaxies and quasars with kernel principal component analysis
arXiv:2211.07758 · doi:10.1093/mnras/stac2917
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 with the post-merger quasar phase. On the other hand, the meridian directions distinguish deeply obscured power sources of the galaxies from unobscured ones. These observations have also been verified by comparison with simulated ULIRGs and quasars using radiative transfer models. The diagram correctly identifies unique galaxies with extreme features that lie distinctly away from the main distribution of the galaxies. Furthermore, special two-dimensional projections of the ellipsoid recover almost monotonic variations of the two main physical properties of the galaxies, the silicate and PAH features. This suggests that our diagram naturally extends the well-known Spoon diagram and it can serve as a diagnostic tool for existing and future infrared spectroscopic data, such as those provided by the James Webb Space Telescope.
Published in Monthly Notices of the Royal Astronomical Society
References in corpus (12)
- The Host Galaxies and Classification of Active Galactic Nuclei
- Kernel methods in machine learning
- Mid-IR Galaxy Classification Based on Silicate Obscuration and PAH Equivalent Width
- A Spitzer IRS Low-Resolution Spectroscopic Search for Buried AGNs in Nearby Ultraluminous Infrared Galaxies - A Constraint on Geometry between Energy Sources and Dust -
- Hubble Space Telescope H-Band Imaging Survey of Massive Gas-Rich Mergers
- CASSIS: The Cornell Atlas of Spitzer/Infrared Spectrograph Sources. II. High-resolution observations
- Modelling the spectral energy distribution of ULIRGs II: The energetic environment and the dense interstellar medium
- Decomposing Dusty Galaxies. I. Multi-Component Spectral Energy Distribution Fitting
- Extreme star formation events in quasar hosts over
- A new look at local ultraluminous infrared galaxies: the atlas and radiative transfer models of their complex physics
- An Evolutionary Paradigm for Dusty Active Galaxies at Low Redshift
- Stellar and black hole assembly in z<0.3 infrared-luminous mergers: intermittent starbursts vs. super-Eddington accretion
Cited by in corpus (4)
- A review of unsupervised learning in astronomy
- Graph Theoretical Analysis of local ultraluminous infrared galaxies and quasars
- Reconstructing the mid-infrared spectra of galaxies using ultraviolet to submillimeter photometry and Deep Generative Networks
- Probing the Infrared/Radio correlation of the full IRAS Revised Bright Galaxy Sample with MeerKAT and the VLA