SLUG – stochastically lighting up galaxies – III. A suite of tools for simulated photometry, spectroscopy, and Bayesian inference with stochastic stellar populations
(2015)
Journal Article
Krumholz, M., Fumagalli, M., da Silva, R., Rendahl, T., & Parra, J. (2015). SLUG – stochastically lighting up galaxies – III. A suite of tools for simulated photometry, spectroscopy, and Bayesian inference with stochastic stellar populations. Monthly Notices of the Royal Astronomical Society, 452(2), 1447-1467. https://doi.org/10.1093/mnras/stv1374
Stellar population synthesis techniques for predicting the observable light emitted by a stellar population have extensive applications in numerous areas of astronomy. However, accurate predictions for small populations of young stars, such as those... Read More about SLUG – stochastically lighting up galaxies – III. A suite of tools for simulated photometry, spectroscopy, and Bayesian inference with stochastic stellar populations.