PDRs4All XVI. Tracing aromatic infrared band characteristics in photodissociation region spectra with PAHFIT in the JWST era
Dries Van De Putte (1), Els Peeters (1, 2, 3), Karl D. Gordon (4, 5), J. D. T. Smith (6), Thomas S.-Y. Lai (7), Alexandros Maragkoudakis (8), Bethany Schefter (1, 2), Ameek Sidhu (1, 2), Dhruvil Doshi (1), Olivier Bern\'e (9), Jan Cami (1, 2, 3), Christiaan Boersma (8)

TL;DR
This paper introduces a Python tool, PAHFIT, for detailed spectral decomposition of aromatic infrared bands in photodissociation regions, enabling analysis of PAH characteristics in both Galactic and extragalactic environments with improved accuracy.
Contribution
The paper presents a new Python version of PAHFIT with a specialized PDR pack and an alternate dust continuum model for analyzing JWST spectra of PDRs, enhancing spectral fitting precision.
Findings
PAHFIT accurately decomposes Orion Bar spectra with residuals of a few percent.
The 5.7 um AIB originates from multiple subpopulations with different environmental preferences.
Similar AIB profile variations are observed in Orion Bar and NGC7469.
Abstract
Photodissociation regions (PDRs) exhibit emission between 3-20 um known as the Aromatic Infrared Bands (AIBs), originating from small carbonaceous species such as polycyclic aromatic hydrocarbons (PAHs). The AIB spectra observed in Galactic PDRs, such as the Orion Bar observations by the PDRs4All JWST program, are considered a local analog for those seen in extragalactic star-forming regions. We present the Python version of PAHFIT, a spectral decomposition tool that separates the contributions by AIB subcomponents, thermal dust emission, gas lines, stellar light, and dust extinction. By fitting segments of the Orion Bar spectra, we provide a configuration to decompose JWST spectra of PDRs in detail. The resulting central wavelengths and FWHM of the AIB subcomponents are compiled into a "PDR pack" for PAHFIT. We applied PAHFIT with this PDR pack and the default continuum model to…
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