| Full text | |
| Author(s): |
Chevallard, Jacopo
;
Charlot, Stephane
Total Authors: 2
|
| Document type: | Journal article |
| Source: | Monthly Notices of the Royal Astronomical Society; v. 462, n. 2, p. 1415-1443, OCT 21 2016. |
| Web of Science Citations: | 43 |
| Abstract | |
We present a new-generation tool to model and interpret spectral energy distributions (SEDs) of galaxies, which incorporates in a consistent way the production of radiation and its transfer through the interstellar and intergalactic media. This flexible tool, named BEAGLE (for BayEsian Analysis of GaLaxy sEds), allows one to build mock galaxy catalogues as well as to interpret any combination of photometric and spectroscopic galaxy observations in terms of physical parameters. The current version of the tool includes versatile modelling of the emission from stars and photoionized gas, attenuation by dust and accounting for different instrumental effects, such as spectroscopic flux calibration and line spread function. We show a first application of the BEAGLE tool to the interpretation of broad-band SEDs of a published sample of similar to 10(4) galaxies at redshifts 0.1 less than or similar to z less than or similar to 8. We find that the constraints derived on photometric redshifts using this multipurpose tool are comparable to those obtained using public, dedicated photometric-redshift codes and quantify this result in a rigorous statistical way. We also show how the post-processing of BEAGLE output data with the PYTHON extension PYP-BEAGLE allows the characterization of systematic deviations between models and observations, in particular through posterior predictive checks. The modular design of the BEAGLE tool allows easy extensions to incorporate, for example, the absorption by neutral galactic and circumgalactic gas, and the emission from an active galactic nucleus, dust and shock-ionized gas. Information about public releases of the BEAGLE tool will be maintained on http://www.jacopochevallard.org/beagle. (AU) | |
| FAPESP's process: | 13/11837-9 - Unveiling chemical patterns in galaxies through Bayesian spectral fitting |
| Grantee: | Jacopo Chevallard |
| Support Opportunities: | Scholarships in Brazil - Post-Doctoral |