Coupled Blind Signal Separation and Spectroscopic Database Fitting of the Mid Infrared PAH Features
M.J.F. Rosenberg, O. Bern\'e, C. Boersma, L.J. Allamandola, and A.G.G.M Tielens

TL;DR
This study combines blind signal separation and spectroscopic database fitting to analyze mid-infrared PAH features in a PDR, identifying ionized and neutral PAHs and VSGs, and confirming their spectral signatures.
Contribution
It introduces a combined approach of BSS and database fitting to reliably identify PAH components in astronomical spectra, improving analysis accuracy.
Findings
Three spectral components attributed to ionized PAHs, neutral PAHs, and VSGs.
The 11.0 micron feature is linked to PAH cations.
The 11.2 micron band is linked to neutral PAHs.
Abstract
The aromatic infrared bands (AIBs) observed in the mid infrared spectrum are attributed to Polycyclic Aromatic Hydrocarbons (PAHs). We observe the NGC 7023-North West (NW) PDR in the mid-infrared (10 - 19.5 micron) using the Infrared Spectrometer (IRS), on board Spitzer. Clear variations are observed in the spectra, most notably the ratio of the 11.0 to 11.2 micron bands, the peak position of the 11.2 and 12.0 micron bands, and the degree of asymmetry of the 11.2 micron band. The observed variations appear to change as a function of position within the PDR. We aim to explain these variations by a change in the abundances of the emitting components of the PDR. A Blind Signal Separation (BSS) method, i.e. a Non-Negative Matrix Factorization algorithm is applied to separate the observed spectrum into components. Using the NASA Ames PAH IR Spectroscopic Database, these extracted signals are…
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