A sensitivity analysis of the modeling of Polycyclic Aromatic Hydrocarbon emission in galaxies
Alexandros Maragkoudakis, Christiaan Boersma, Pasquale Temi, Jesse D., Bregman, Louis J. Allamandola, Vincent Esposito, Alessandra Ricca, Els, Peeters

TL;DR
This study performs a sensitivity analysis on galaxy PAH emission modeling using the PAHdb database and spectral decomposition methods, revealing optimal configurations and quantifying the impact of modeling choices on derived properties.
Contribution
It introduces a comprehensive sensitivity analysis of PAH emission modeling parameters and provides a new library of galaxy PAH emission templates for improved SED modeling.
Findings
PAHFIT provides consistent PAH emission spectrum recovery.
Applying a redshift to PAHdb spectra introduces 15-20% variance.
The new PAHdb release improves spectral modeling accuracy.
Abstract
We have conducted a sensitivity analysis on the mid-infrared spectral decomposition of galaxies and the modeling of the PAH emission spectrum with the NASA Ames PAH Infrared Spectroscopic Database (PAHdb) to assess the variance on the average galaxy PAH population properties under a grid of different modeling parameters. We find that the SL and SL+LL Spitzer-IRS decomposition with PAHFIT provides consistent modeling and recovery of the 5-15 m PAH emission spectrum. For PAHdb modeling, application of a redshift to the calculated spectra to account for anharmonic effects introduces a - variance on the derived parameters, while its absence improves the fits by . The 4.00- release of PAHdb achieves the complete modeling of the 6-15 m PAH spectrum, including the full 6.2 m band, improving the average fitting uncertainty by a factor of 2. The…
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Taxonomy
TopicsAnalytical Chemistry and Chromatography
