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This is the archive for "An Atlas of Galaxy Spectral Energy Distributions From The UV to the Mid-Infrared". The first folder contains the spectral energy distributions and csv tables of galaxy information, photometry and foreground dust extinction values. The folders named after individual galaxies contain the images from which the photometry was measured. The relevant paper was published in the Astrophysical Journal Supplement Series and is available via http://dx.doi.org/10.1088/0067-0049/212/2/18. A brief video introduction to the atlas is available via https://www.youtube.com/watch?v=lhC8ViPGoqU. The beta version of the atlas, which was released when the paper was submitted, is available via http://vera183.its.monash.edu.au/experiment/view/104/. The abstract of the paper follows. We present an atlas of 129 spectral energy distributions for nearby galaxies, with wavelength coverage spanning from the ultraviolet to the mid-infrared. Our atlas spans a broad range of galaxy types, including ellipticals, spirals, merging galaxies, blue compact dwarfs, and luminous infrared galaxies. We have combined ground-based optical drift-scan spectrophotometry with infrared spectroscopy from Spitzer and Akari with gaps in spectral coverage being filled using Multi-wavelength Analysis of Galaxy Physical Properties spectral energy distribution models. The spectroscopy and models were normalized, constrained, and verified with matched-aperture photometry measured from Swift, Galaxy Evolution Explorer, Sloan Digital Sky Survey, Two Micron All Sky Survey, Spitzer, and Wide-field Infrared Space Explorer images. The availability of 26 photometric bands allowed us to identify and mitigate systematic errors present in the data. Comparison of our spectral energy distributions with other template libraries and the observed colors of galaxies indicates that we have smaller systematic errors than existing atlases, while spanning a broader range of galaxy types. Relative to the prior literature, our atlas will provide improved K-corrections, photometric redshifts, and star-formation rate calibrations.

Institution
Monash University
Licensing
This experiment data is licensed under Creative Commons Attribution 4.0 International (CC BY 4.0).
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130 Datasets


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