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

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 sta...

Full description

Saved in:
Bibliographic Details
Published in:The Astrophysical journal 2024-10, Vol.974 (2), p.197
Main Authors: Garcia, Karolina, Narayanan, Desika, Popping, Gergö, Anirudh, R., Sutherland, Sagan, Kaasinen, Melanie
Format: Article
Language:English
Subjects:
Astrostatistics techniques
Building codes
Computational methods
Cosmological evolution
Cosmology
Emission analysis
Emissions
Galaxies
Galaxy evolution
Galaxy luminosities
Interstellar clouds
Interstellar line emission
Luminosity
Machine learning
Molecular clouds
Physical properties
Radiative transfer
Simulation
Universe
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISSN:0004-637X
1538-4357
DOI:10.3847/1538-4357/ad642c