1 Background

1.1 Purpose

Pypahdb is used to characterize emission from one of the most prevalent types of organic molecules in space, namely polycyclic aromatic hydrocarbons (PAHs). It leverages the detailed studies of organic molecules done at the NASA Ames Research Center. Pypahdb is a streamlined Python version of the NASA Ames PAH IR Spectroscopic Database’s (PAHdb; www.astrochemistry.org/pahdb/) suite of IDL and Python tools. PAHdb has been extensively used to analyze and interpret the PAH signature from a plethora of emission sources, ranging from solar-system objects to entire galaxies. Pypahdb decomposes astronomical PAH emission spectra into contributing PAH sub-classes in terms of charge and size using a database-fitting technique. The inputs for the fit are spectra constructed using the spectroscopic libraries of PAHdb and take into account the detailed photo-physics of the PAH excitation/emission process.

1.2 Features

The purpose of pypahdb is to derive astronomical parameters directly from JWST observations, but the tool is not limited to JWST observations alone. Pypahdb is the light version of a full suite of Python software tools[1] that is an analog of the off-line IDL tools[2]. A feature comparison is presented in the table below. Pypahdb will enable PAH experts and non-experts alike to analyze and interpret astronomical PAH emission spectra.

Feature comparison between pypahdb and the full suites of IDL/Python tools. Notes: NNLS=non-negative least-squares; NNLC=non-negative least-chi-squared; FWHM= full-width at half-maximum of a line profile; Uncertainties=handling observational spectroscopic uncertainties.

Pypahdb

IDL/Python Tools

Included molecules.

Fixed

User defined

Excitation energy

Fixed

User defined

Emission profile

Fixed

Selectable

FWHM

Fixed

User defined

Band redshift

Fixed

User defined

Emission model

Fixed

Selectable

NNLS

NNLC

Class breakdown

Parallelization

Uncertainties

1.3 Academic references

You are kindly asked to consider the following references for citation when using pypahdb:

Shannon, M.J., Boersma, C., “ORGANIC MOLECULES IN SPACE: INSIGHTS FROM THE NASA AMES MOLECULAR DATABASE IN THE ERA OF THE JAMES WEBB SPACE TELESCOPE”, 2018, SciPy, 99 https://doi.org/10.25080/majora-4af1f417-00f

C.W. Bauschlicher, Jr., A. Ricca, C. Boersma, L.J. Allamandola, “THE NASA AMES PAH IR SPECTROSCOPIC DATABASE: COMPUTATIONAL VERSION 3.00 WITH UPDATED CONTENT AND THE INTRODUCTION OF MULTIPLE SCALING FACTORS”, The Astrophysical Journal Supplement Series, 234, 32, 2018, https://doi.org/10.3847/1538-4365/aaa019

C. Boersma, C.W. Bauschlicher, Jr., A. Ricca, A.L. Mattioda, J. Cami, E. Peeters, F. Sánchez de Armas, G. Puerta Saborido, D.M. Hudgins, and L.J. Allamandola, “THE NASA AMES PAH IR SPECTROSCOPIC DATABASE VERSION 2.00: UPDATED CONTENT, WEBSITE AND ON/OFFLINE TOOLS”, The Astrophysical Journal Supplement Series, 211, 8, 2014, https://doi.org/10.1088/0067-0049/211/1/8

C.W. Bauschlicher, Jr., C. Boersma, A. Ricca, A.L. Mattioda, J. Cami, E. Peeters, F. Sánchez de Armas, G. Puerta Saborido, D.M. Hudgins, and L.J. Allamandola, “THE NASA AMES PAH IR SPECTROSCOPIC DATABASE: THE COMPUTED SPECTRA”, The Astrophysical Journal Supplement Series, 189, 341, 2010, https://doi.org/10.1088/0067-0049/189/2/341

Mattioda, A. L., Hudgins, D. M., Boersma, C., Ricca, A., Peeters, E., Cami, J., Sánchez de Armas, F., Puerta Saborido, G., Bauschlicher, C. W., J., and Allamandola, L. J. “THE NASA AMES PAH IR SPECTROSCOPIC DATABASE: THE LABORATORY SPECTRA”, The Astrophysical Journal Supplement Series, 251, 22, 2020, https://doi.org/10.3847/1538-4365/abc2c8