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We carried out a principal component analysis (PCA) of the fluxes of five polycyclic aromatic hydrocarbon (PAH) bands at 6.2, 7.7, 8.6, 11.0, and 11.2 $\mu$m in the reflection nebula NGC 7023 comprising of the photodissociation region (PDR)…

Astrophysics of Galaxies · Physics 2022-02-02 Ameek Sidhu , Josh Bazely , Els Peeters , Jan Cami

We report new properties of the 11 and 12.7 {\mu}m emission complexes of polycyclic aromatic hydrocarbons (PAHs) by applying a Gaussian-based decomposition technique. Using high-resolution \textit{Spitzer} Space Telescope data, we study in…

Astrophysics of Galaxies · Physics 2016-06-29 M. J. Shannon , D. J. Stock , E. Peeters

We present 5-20 micron spectral maps of the reflection nebula NGC2023 obtained with the Infrared Spectrograph SL and SH modes on board the Spitzer Space Telescope which reveal emission from polycyclic aromatic hydrocarbons (PAHs), C60, and…

We present a new method to accurately describe the ionization fraction and the size distribution of polycyclic aromatic hydrocarbons (PAHs) within astrophysical sources. To this purpose, we have computed the mid-infrared emission spectra of…

Astrophysics of Galaxies · Physics 2020-03-18 A. Maragkoudakis , E. Peeters , A. Ricca

Polycyclic aromatic hydrocarbons (PAHs) are ubiquitous in astrophysical environments, as revealed by their pronounced emission features at 3.3, 6.2, 7.7, 8.6, 11.3, and 12.7 $\mu$m commonly ascribed to the C--H and C--C vibrational modes.…

Astrophysics of Galaxies · Physics 2017-07-19 Han Zhang , Charles M. Telesco , Thiem Hoang , Aigen Li , Eric Pantin , Christopher M. Wright , Dan Li , Peter Barnes

We decompose the observed 7.7 $\mu$m polycyclic aromatic hydrocarbon (PAH) emission complexes in a large sample of over 7000 mid-infrared spectra of the interstellar medium (ISM) using spectral cubes observed with the Spitzer/IRS-SL…

Astrophysics of Galaxies · Physics 2017-03-22 D. J. Stock , E. Peeters

Infrared emission features at 3.3, 6.2, 7.7, 8.6, and 11.2 $\mu$m, attributed to polycyclic aromatic hydrocarbons, show variations in relative intensity, shape, and peak position. These variations depend on the physical conditions of the…

Astrophysics of Galaxies · Physics 2021-11-24 C. Knight , E. Peeters , M. Wolfire , D. J. Stock

We present a charge distribution based model that computes the infrared spectrum of polycyclic aromatic hydrocarbon (PAH) molecules using recent measurements or quantum chemical calculations of specific PAHs. The model is applied to a…

Astrophysics of Galaxies · Physics 2022-06-15 Ameek Sidhu , A. G. G. M. Tielens , Els Peeters , Jan Cami

Polycyclic Aromatic Hydrocarbons (PAHs) are carbon-based molecules resulting from the union of aromatic rings and related species, which are likely responsible for strong infrared emission features (3.3, 6.2, 7.7, 8.6, 11.3 and 12.7…

Astrophysics of Galaxies · Physics 2021-11-05 I. García-Bernete , D. Rigopoulou , A. Alonso-Herrero , M. Pereira-Santaella , P. F. Roche , B. Kerkeni

Polycyclic Aromatic Hydrocarbons (PAHs) are organic molecules which comprise the smallest particles of dust in the interstellar medium (ISM). Due to their broad/complex emission profiles, obtaining kinematics is a challenge with traditional…

Astrophysics of Galaxies · Physics 2024-05-24 Fergus R. Donnan , Dimitra Rigopoulou , Ismael García-Bernete

Evolved stars are primary sources for the formation of polycyclic aromatic hydrocarbons (PAHs) and dust grains. Their circumstellar chemistry is usually designated as either oxygen-rich or carbon-rich, although dual-dust chemistry objects,…

Solar and Stellar Astrophysics · Physics 2015-12-23 N. L. J. Cox , P. Pilleri , O. Berne , J. Cernicharo , C. Joblin

Based on theoretical spectra computed using Density Functional Theory we study the properties of Polycyclic Aromatic Hydrocarbons (PAH). In particular using bin-average spectra of PAH molecules with varying number of carbons we investigate…

Principal Component Analysis (PCA) is a well-known technique used to decorrelate a set of vectors. It has been applied to explore the star formation history of galaxies or to determine distances of mass-lossing stars. Here we apply PCA to…

Astrophysics · Physics 2007-10-23 Stavros Akras , Panayotis Boumis

We apply a principal component analysis (PCA) to the spectra of each of the 18 Seyfert 1-like objects observed more than 15 times by the international ultraviolet explorer (IUE) from 1978 until the end of 1991. PCA allows us to decompose…

Astrophysics · Physics 2007-05-23 Marc Turler , Thierry J. -L. Courvoisier

Intensity ratios of aromatic emission features are widely used to diagnose the size and ionization state of polycyclic aromatic hydrocarbons (PAHs) in astronomical environments. However, PAHs are known to typically carry aliphatic side…

Astrophysics of Galaxies · Physics 2026-05-12 Zhuang Zhang , Yong Zhang

The dynamic nature of air quality chemistry and transport makes it difficult to identify the mixture of air pollutants for a region. In this study of air quality in the Houston metropolitan area we apply dynamic principal component analysis…

Applications · Statistics 2016-08-11 Oleg Melnikov , Loren H. Raun , Katherine B. Ensor

We report new correlations between ratios of band intensities of the 15-20 {\mu}m emission bands of polycyclic aromatic hydrocarbons (PAHs) in a sample of fifty-seven sources observed with Spitzer/IRS. This sample includes Large Magellanic…

Astrophysics of Galaxies · Physics 2015-10-14 M. J. Shannon , D. J. Stock , E. Peeters

We present a systematic study of mid-infrared spectra of galaxies including star-forming galaxies and Active Galactic Nuclei observed with JWST MIRI-MRS and NIRSpec-IFU. We focus on the relative variations of the 3.3, 6.2, 7.7, 11.3, 12.7…

We analyse 400 ks of XMM-Newton data on the active galactic nucleus NGC 1365 using principal component analysis (PCA) to identify model independent spectral components. We find two significant components and demonstrate that they are…

High Energy Astrophysical Phenomena · Physics 2015-06-19 M. L. Parker , D. J. Walton , A. C. Fabian , G. Risaliti
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