The PhotoDissociation Region Toolbox: Software and Models for Astrophysical Analysis

TL;DR

The PhotoDissociation Region Toolbox offers accessible software and models for analyzing how ultraviolet light from massive stars interacts with gas and dust in galaxies, aiding interpretation of infrared and millimeter observations.

Contribution

It introduces an open-source Python toolkit and advanced PDR models for comprehensive analysis of astrophysical data from multiple telescopes.

Findings

Provides best-fit models for observed spectral lines.

Enables detailed physical and chemical analysis of PDRs.

Supports data from major space and ground-based observatories.

Abstract

The PhotoDissociation Region Toolbox provides comprehensive, easy-to-use, public software tools and models that enable an understanding of the interaction of the light of young, luminous, massive stars with the gas and dust in the Milky Way and in other galaxies. It consists of an open-source Python toolkit and photodissociation region models for analysis of infrared and millimeter/submillimeter line and continuum observations obtained by ground-based and sub-orbital telescopes, and astrophysics space missions. Photodissociation regions (PDRs) include all of the neutral gas in the ISM where far-ultraviolet photons dominate the chemistry and/or heating. In regions of massive star formation, PDRs are created at the boundaries between the H II regions and neutral molecular cloud, as photons with energies 6 eV $ < h \nu < $ 13.6 eV photodissociate molecules and photoionize metals. The gas is heated by photo-electrons from small grains and large molecules and cools mostly through far-infrared fine-structure lines like [O I] and [C II]. The models are created from state-of-the art PDR codes that includes molecular freeze-out; recent collision, chemical, and photo rates; new chemical pathways, such as for oxygen chemistry; and allow for both clumpy and uniform media. The models predict the emergent intensities of many spectral lines and FIR continuum. The tools find the best-fit models to the observations and provide insights into the physical conditions and chemical makeup of the gas and dust. The PDR Toolbox enables novel analysis of data from telescopes such as ISO, Spitzer, Herschel, STO, SOFIA, SWAS, APEX, ALMA, and JWST.