slick: Modeling a Universe of Molecular Line Luminosities in Hydrodynamical Simulations

Abstract We present slick (the Scalable Line Intensity Computation Kit), a software package that calculates realistic CO, [C i ], and [C ii ] luminosities for clouds and galaxies formed in hydrodynamic simulations. Built on the radiative transfer code despotic , slick computes the thermal, radiative, and statistical equilibrium in concentric zones of model clouds, based on their physical properties and individual environments. We validate our results by applying slick to the high-resolution run of the Simba simulations, testing the derived luminosities against empirical and theoretical/analytic relations. To simulate the line emission from a universe of emitting clouds, we have incorporated random forest machine learning (ML) methods into our approach, allowing us to predict cosmologically evolving properties of CO, [C i ], and [C ii ] emission from galaxies such as luminosity functions. We tested this model in 100,000 gas particles, and 2500 galaxies, reaching an average accuracy of ∼99.8% for all lines. Finally, we present the first model light cones created with realistic and ML-predicted CO, [C i ], and [C ii ] luminosities in cosmological hydrodynamical simulations, from z = 0 to z = 10.

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Publication Details

Journal
The Astrophysical Journal
Published
2024-10-01
DOI
https://doi.org/10.3847/1538-4357/ad642c
Citations
6
Primary Topic
Astrophysics and Star Formation Studies
Type
article
Field-Weighted Citation Impact
1.99

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article

slick: Modeling a Universe of Molecular Line Luminosities in Hydrodynamical Simulations

Gergö Popping, Melanie Kaasinen, K. Garcia, R. Anirudh et al.
6 citations
The Astrophysical Journal
Astrophysics and Star Formation Studies
1.99
article

slick: Modeling a Universe of Molecular Line Luminosities in Hydrodynamical Simulations

Gergö Popping, Melanie Kaasinen, K. Garcia, R. Anirudh, Desika Narayanan, Sagan Sutherland
article en
6 citations

Abstract

Abstract We present slick (the Scalable Line Intensity Computation Kit), a software package that calculates realistic CO, [C i ], and [C ii ] luminosities for clouds and galaxies formed in hydrodynamic simulations. Built on the radiative transfer code despotic , slick computes the thermal, radiative, and statistical equilibrium in concentric zones of model clouds, based on their physical properties and individual environments. We validate our results by applying slick to the high-resolution run of the Simba simulations, testing the derived luminosities against empirical and theoretical/analytic relations. To simulate the line emission from a universe of emitting clouds, we have incorporated random forest machine learning (ML) methods into our approach, allowing us to predict cosmologically evolving properties of CO, [C i ], and [C ii ] emission from galaxies such as luminosity functions. We tested this model in 100,000 gas particles, and 2500 galaxies, reaching an average accuracy of ∼99.8% for all lines. Finally, we present the first model light cones created with realistic and ML-predicted CO, [C i ], and [C ii ] luminosities in cosmological hydrodynamical simulations, from z = 0 to z = 10.

The Astrophysical JournalVol. 974(2)
Damien Foundation (BD)
National Science Foundation
Life in Land
Openalex Percentile: Top 14%
Astrophysics and Star Formation Studies
1.99
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