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Database Downloads

All data in the NASA Ames PAH IR Spectroscopic Database are freely available for download. We do ask you to provide a valid e-mail address in order to track the users of the data.

If this is the first time you use this form, please also provide your full and company's name. Otherwise you can keep these fields blank.

Please specify your download. You will receive an e-mail at the address you specified with a link to the data.

I agree to reference Bauschlicher+ (2018), Boersma+ (2014), Mattioda+ (in progress) and the appropriate individual references when using these data.

Software Downloads


The AmesPAHdbIDLSuite, a Open Source suite of object classes utilizing IDL's object programming capabilities developed and maintained by Dr. C. Boersma, is available and can be used to work with a downloaded database XML-file, offline on your own machine.

The IDL object classes significantly extend the tools available online. Reading and parsing of the XML-file is automated and operations such as plotting to the screen and/or a file; shifting, convolving, co-adding, fitting astronomical spectra, and applying an emission model have all been fully implemented. Regarding PAH emission models, the suite handles the full temperature cascade, with in addition, the ability to use stellar models for the incident radiation field and optionally use it to do a full convolution of the emergent spectrum. Furthermore, tools for searching and, utilizing IDL object graphics, viewing rotatable 3D molecular structures are also available.

A comprehensive guide on installing and using the AmesPAHdbIDLSuite can be found in the help section.

The ongoing development of the AmesPAHdbIDLSuite is done on GitHub — Repositiory.

The current stable version of the suite is dated August 27, 2015.

*IDL is a registered trademark of Harris Geospatial


pypahdb is a Python package to fit and decompose astronomical PAH emission spectra into contributing PAH subclasses. pypahdb is being developed by Dr. C. Boersma and Dr. M.J. Shannon as part of the awarded James Webb Space Telescope (JWST) Early Release Science (ERS) program "Radiative Feedback from Massive Stars as Traced by Multiband Imaging and Spectroscopic Mosaics" (program website; ID: 1288). The program is coordinated by an international "Core team" of 19 scientists and supported by 119 "science collaborators". pypahdb uses a precomputed matrix of theoretically calculated PAH emission spectra from version 3.00 of the library of computed spectra.

A paper describing pypahdb was presented at SciPy201810.25080/Majora-4af1f417-00f.

A comprehensive guide on installing and using pypahdb can be found in the help section.

The ongoing development of pypahdb is done on GitHub — Repositiory.

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

700 species present in version 2.00 of the theoretical database (Oct 29, 2013)