Lightning: An X-ray to Submillimeter Galaxy SED Fitting Code With Physically-Motivated Stellar, Dust, and AGN Models

dc.contributor.authorDoore, Keith
dc.contributor.authorMonson, Erik B.
dc.contributor.authorEufrasio, Rafael T.
dc.contributor.authorLehmer, Bret D.
dc.contributor.authorGarofali, Kristen
dc.contributor.authorBasu-Zych, Antara
dc.date.accessioned2023-05-18T15:47:05Z
dc.date.available2023-05-18T15:47:05Z
dc.date.issued2023-04-13
dc.description.abstractWe present an updated version of Lightning, a galaxy spectral energy distribution (SED) fitting code that can model X-ray to submillimeter observations. The models in Lightning include the options to contain contributions from stellar populations, dust attenuation and emission, and active galactic nuclei (AGN). X-ray emission, when utilized, can be modeled as originating from stellar compact binary populations with the option to include emission from AGN. We have also included a variety of algorithms to fit the models to observations and sample parameter posteriors; these include an adaptive Markov-Chain Monte-Carlo (MCMC), affine-invariant MCMC, and Levenberg-Marquardt gradient decent (MPFIT) algorithms. To demonstrate some of the capabilities of Lightning, we present several examples using a variety of observational data. These examples include (1) deriving the spatially resolved stellar properties of the nearby galaxy M81, (2) demonstrating how X-ray emission can provide constrains on the properties of the supermassive black hole of a distant AGN, (3) exploring how to rectify the attenuation effects of inclination on the derived the star formation rate of the edge-on galaxy NGC 4631, (4) comparing the performance of Lightning to similar Bayesian SED fitting codes when deriving physical properties of the star-forming galaxy NGC 628, and (5) comparing the derived X-ray and UV-to-IR AGN properties from Lightning and CIGALE for a distant AGN. Lightning is an open-source application developed in the Interactive Data Language (IDL) and is available at https://github.com/rafaeleufrasio/lightning.en_US
dc.description.sponsorshipWe acknowledge and thank the anonymous referee for their valuable comments that helped improve the quality of this paper. We gratefully acknowledge support from the NASA Astrophysics Data Analysis Program (ADAP) grant 80NSSC20K0444 (KD, EBM, RTE, BDL). KG is supported by an appointment to the NASA Postdoctoral Program at NASA Goddard Space Flight Center, administered by Oak Ridge Associated Universities under contract with NASA. ABZ supported by NASA award number 80GSFC21M0002. This work has made use of the Arkansas High Performance Computing Center, which is funded through multiple National Science Foundation grants and the Arkansas Economic Development Commission. We acknowledge the usage of the HyperLeda database (http://leda.univ-lyon1.fr).en_US
dc.description.urihttps://arxiv.org/abs/2304.06753en_US
dc.format.extent34 pagesen_US
dc.genrejournal articlesen_US
dc.genrepreprintsen_US
dc.identifierdoi:10.13016/m2nlg9-mx7z
dc.identifier.urihttps://doi.org/10.48550/arXiv.2304.06753
dc.identifier.urihttp://hdl.handle.net/11603/28007
dc.language.isoen_USen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Center for Space Sciences and Technology
dc.relation.ispartofUMBC Faculty Collection
dc.rightsThis work was written as part of one of the author's official duties as an Employee of the United States Government and is therefore a work of the United States Government. In accordance with 17 U.S.C. 105, no copyright protection is available for such works under U.S. Law.en_US
dc.rightsPublic Domain Mark 1.0*
dc.rights.urihttp://creativecommons.org/publicdomain/mark/1.0/*
dc.titleLightning: An X-ray to Submillimeter Galaxy SED Fitting Code With Physically-Motivated Stellar, Dust, and AGN Modelsen_US
dc.typeTexten_US
dcterms.creatorhttps://orcid.org/0000-0001-8525-4920en_US

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