The DOI matches its Crossref record; 99 of the 99 references it cites were found in a registry or an index.
Stellar Population Inference with Prospector
Open accessAbstract
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.
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Matplotlib: a 2D graphics environment
Hunter, J. D. (2007) · Computing in Science & Engineering · doi:10.1109/mcse.2007.55 · Cited by 39,249
SciPy 1.0: fundamental algorithms for scientific computing in Python
Virtanen, P., Gommers, R., Oliphant, T. E., Haberland, M., Reddy, T., Cournapeau, D., Burovski, E., Peterson, P., Weckesser, W., Bright, J., et al. (2020) · Nature Methods · doi:10.1038/s41592-019-0686-2 · Cited by 38,430
Harris, C. R., Millman, K. J., van der Walt, S. J., Gommers, R., Virtanen, P., Cournapeau, D., Wieser, E., Taylor, J., Berg, S., Smith, N. J., et al. (2020) · Nature · doi:10.1038/s41586-020-2649-2 · Cited by 23,826
Astropy: A community Python package for astronomy
The Astropy Collaboration, Robitaille, T. P., Tollerud, E. J., Greenfield, P., Droettboom, M., Bray, E., Aldcroft, T., Davis, M., Ginsburg, A., Price-Whelan, A. M., et al. (2013) · Astronomy & Astrophysics · doi:10.1051/0004-6361/201322068 · Cited by 14,620
<tt>emcee</tt>: The MCMC Hammer
Foreman-Mackey, D., Hogg, D. W., Lang, D., & Goodman, J. (2013) · Publications of the Astronomical Society of the Pacific · doi:10.1086/670067 · Cited by 12,414
The relationship between infrared, optical, and ultraviolet extinction
Cardelli, J. A., Clayton, G. C., & Mathis, J. S. (1989) · The Astrophysical Journal · doi:10.1086/167900 · Cited by 11,795
Stellar population synthesis at the resolution of 2003
Bruzual, G., & Charlot, S. (2003) · Monthly Notices of the Royal Astronomical Society · doi:10.1046/j.1365-8711.2003.06897.x · Cited by 10,500
The Astropy Project: Building an Open-science Project and Status of the v2.0 Core Package*
The Astropy Collaboration, Price-Whelan, A. M., Sipőcz, B. M., Günther, H. M., Lim, P. L., Crawford, S. M., Conseil, S., Shupe, D. L., Craig, M. W., Dencheva, N., et al. (2018) · The Astronomical Journal · doi:10.3847/1538-3881/aabc4f · Cited by 7,687
The Dust Content and Opacity of Actively Star‐forming Galaxies
Calzetti, D., Armus, L., Bohlin, R. C., Kinney, A. L., Koornneef, J., & Storchi‐Bergmann, T. (2000) · The Astrophysical Journal · doi:10.1086/308692 · Cited by 5,717
A Catalog of Parameters for Globular Clusters in the Milky Way
Harris, W. E. (1996) · The Astronomical Journal · doi:10.1086/118116 · Cited by 4,500 · cited 2×
“We fix the distance to the value given by Harris (1996) since for integrated SEDs at non-cosmological distances the distance and mass are perfectly degenerate.”
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Yao, Y., Ravi, V., Gezari, S., van Velzen, S., Lu, W., Schulze, S., Somalwar, J. J., Kulkarni, S. R., Hammerstein, E., Nicholl, M., et al. (2023) · The Astrophysical Journal Letters · doi:10.3847/2041-8213/acf216 · Cited by 219
Euclid : A complete Einstein ring in NGC 6505
O’Riordan, C. M., Oldham, L. J., Nersesian, A., Li, T., Collett, T. E., Sluse, D., Altieri, B., Clément, B., Vasan, K. G. C., Rhoades, S., et al. (2025) · Astronomy & Astrophysics · doi:10.1051/0004-6361/202453014 · Cited by 17
Metadata
- Authors
- Johnson, B. D., Leja, J., Conroy, C., & Speagle, J. S.
- Venue
- The Astrophysical Journal Supplement Series
- Publisher
- American Astronomical Society
- Published
- 2021-05-17
- Volume
- 254
- Issue
- 2
- Pages
- 22
- ISSN
- 0067-0049 (ISSN-L)
- 1538-4365
- OpenAlex
- W3107590503
- Cited by
- 678
- References
- 99
- FWCI
- 52.45
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Johnson, B. D., Leja, J., Conroy, C., & Speagle, J. S. (2021). Stellar Population Inference with Prospector. The Astrophysical Journal Supplement Series. https://doi.org/10.3847/1538-4365/abef67
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