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Stellar Population Inference with Prospector

The Astrophysical journal. Supplement series, 2021-06, Vol.254 (2), p.22 [Peer Reviewed Journal]

2021. The American Astronomical Society. All rights reserved. ;Copyright IOP Publishing Jun 2021 ;ISSN: 0067-0049 ;EISSN: 1538-4365 ;DOI: 10.3847/1538-4365/abef67

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  • Title:
    Stellar Population Inference with Prospector
  • Author: Johnson, Benjamin D. ; Leja, Joel ; Conroy, Charlie ; Speagle, Joshua S.
  • Subjects: Astronomical models ; Astronomy data modeling ; Galactic evolution ; Galaxies ; Galaxy evolution ; Inference ; Infrared spectroscopy ; Ingredients ; Parameters ; Photometry ; Physical properties ; Spectral energy distribution ; Spectroscopy ; Spectrum analysis ; Stellar models ; Stellar populations ; Wavelengths
  • Is Part Of: The Astrophysical journal. Supplement series, 2021-06, Vol.254 (2), p.22
  • Description: Abstract Inference of the physical properties of stellar populations from observed photometry and spectroscopy is a key goal in the study of galaxy evolution. In recent years, the quality and quantity of the available data have increased, and there have been corresponding efforts to increase the realism of the stellar population models used to interpret these observations. Describing the observed galaxy spectral energy distributions in detail now requires physical models with a large number of highly correlated parameters. These models do not fit easily on grids and necessitate a full exploration of the available parameter space. We present Prospector , a flexible code for inferring stellar population parameters from photometry and spectroscopy spanning UV through IR wavelengths. This code is based on forward modeling the data and Monte Carlo sampling the posterior parameter distribution, enabling complex models and exploration of moderate dimensional parameter spaces. We describe the key ingredients of the code and discuss the general philosophy driving the design of these ingredients. We demonstrate some capabilities of the code on several data sets, including mock and real data.
  • Publisher: Saskatoon: The American Astronomical Society
  • Language: English
  • Identifier: ISSN: 0067-0049
    EISSN: 1538-4365
    DOI: 10.3847/1538-4365/abef67
  • Source: Alma/SFX Local Collection
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