2020
DOI: 10.3847/1538-4365/ab917f
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SPECULATOR: Emulating Stellar Population Synthesis for Fast and Accurate Galaxy Spectra and Photometry

Abstract: We present SPECULATOR-a fast, accurate, and flexible framework for emulating stellar population synthesis (SPS) models for predicting galaxy spectra and photometry. For emulating spectra, we use a principal component analysis to construct a set of basis functions and neural networks to learn the basis coefficients as a function of the SPS model parameters. For photometry, we parameterize the magnitudes (for the filters of interest) as a function of SPS parameters by a neural network. The resulting emulators ar… Show more

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Cited by 61 publications
(90 citation statements)
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“…These interior abundance profiles matter: they impact a star's opacity, thermodynamics, nuclear energy generation, and pulsation properties. The stellar models, in turn, are used to interpret the integrated light of stellar clusters and galaxies (e.g., Alsing et al 2020), decipher the origin of the elements (e.g., Arcones et al 2017;Placco et al 2020), predict the frequency of merging neutron stars and black holes (Giacobbo & Mapelli 2018;Abbott et al 2020;Farmer et al 2020;Marchant & Moriya 2020), and decipher the population(s) of exploding white dwarfs (WDs) that underlay Type Ia supernova cosmology (e.g., Miles et al 2016;Rose et al 2020).…”
Section: Introductionmentioning
confidence: 99%
“…These interior abundance profiles matter: they impact a star's opacity, thermodynamics, nuclear energy generation, and pulsation properties. The stellar models, in turn, are used to interpret the integrated light of stellar clusters and galaxies (e.g., Alsing et al 2020), decipher the origin of the elements (e.g., Arcones et al 2017;Placco et al 2020), predict the frequency of merging neutron stars and black holes (Giacobbo & Mapelli 2018;Abbott et al 2020;Farmer et al 2020;Marchant & Moriya 2020), and decipher the population(s) of exploding white dwarfs (WDs) that underlay Type Ia supernova cosmology (e.g., Miles et al 2016;Rose et al 2020).…”
Section: Introductionmentioning
confidence: 99%
“…For photometry with small observational uncertainties, a 5 % error floor is put in place. This is to account for systematic model uncertainties as stellar population models are products of an amalgamation of theory, empirical libraries, and occasionally, ad-hoc assumptions (Conroy et al 2009;Conroy 2013;Leja et al 2019b;Alsing et al 2020).…”
Section: Sed Modelingmentioning
confidence: 99%
“…Emulation offers the promise of reducing the computational overhead of evaluating cosmological power spectra by many orders of magnitude, with negligible loss of accuracy in the final parameter inference. This surrogate modelling approach has recently seen numerous applications to the Bayesian solution of the inverse problem in different scientific fields, ranging from geophysical seismic waves (Das et al 2018;Spurio Mancini et al 2020;Piras et al 2021) to stel-★ a.spuriomancini@ucl.ac.uk lar and galaxy spectra (Czekala et al 2015;Alsing et al 2020), from chemical mechanisms (de Mijolla et al 2019;Kasim et al 2020) to applied engineering (Thiagarajan et al 2020;Buffington et al 2020).…”
Section: Introductionmentioning
confidence: 99%