Full description
We introduce ProSpect, a generative galaxy spectral energy distribution (SED) package that encapsulates the best practices for SED methodologies in a number of astrophysical domains. ProSpect comes with two popular families of stellar population libraries (BC03 and EMILES), and a large variety of methods to construct star formation and metallicity histories. It models dust through the use of a Charlot & Fall attenuation model, with re-emission using Dale far-infrared templates. It also has the ability to model active galactic nucleus (AGN) through the inclusion of a simple AGN and hot torus model. Finally, it makes use of MAPPINGS-III photoionization tables to produce line emission features. We test the generative and inversion utility of ProSpect through application to the Shark galaxy formation semi-analytic code, and informed by these results produce fits to the final ultraviolet to far-infrared photometric catalogues produces by the Galaxy and Mass Assembly Survey. As part of the testing of ProSpect, we also produce a range of simple photometric stellar mass approximations covering a range of filters for both observed frame and rest-frame photometry.Notes
External OrganisationsThe University of Western Australia; Swinburne University of Technology; ARC Centre of Excellence for Astrophysics in Three Dimensions (ASTRO3D)
Associated Persons
Matias Andres Bravo Santa Cruz (Creator)Claudia P. Del Lagos (Creator)
Matias Andres Bravo Santa Cruz (Creator)Claudia P. Del Lagos (Creator)
Issued: 2020-06
Subjects
Astrophysics - Astrophysics of Galaxies |
Astrophysics - Cosmology and Nongalactic Astrophysics |
Astrophysics - Instrumentation and Methods for Astrophysics |
methods: data analysis |
techniques: image processing |
techniques: photometric |
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Other Information
Erratum: PROSPECT: Generating spectral energy distributions with complex star formation and metallicity histories (Monthly Notices of the Royal Astronomical Society (2020) 495 (905-931) DOI: 10.1093/mnras/staa1116)
url :
http://research-repository.uwa.edu.au/en/publications/edd447a7-c8e5-4fbc-8c57-e661e7d26325
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Identifiers
- global : 83d32044-5c86-4b98-84ca-fed793edbc11