CosmoGLINT: Cosmological Generative Model for Line Intensity Mapping with Transformer

Abstract

Modelling star-forming galaxies is crucial for upcoming observations of large-scale matter and galaxy distributions with galaxy redshift surveys and line intensity mapping (LIM). We introduce CosmoGLINT (Cosmological Generative model for Line INtensity mapping with Transformer), a Transformer-based generative framework designed to create realistic galaxy populations from dark matter (DM)-only simulations. CosmoGLINT auto-regressively generates sequences of galaxy properties -- including star formation rate (SFR), distance to the halo centre, and radial and tangential velocities relative to the halo -- conditioned on halo mass. Trained on the IllustrisTNG hydrodynamic simulation, the model reproduces key statistical properties of the original data, including the voxel intensity distribution and the power spectrum both in real and redshift space. It can efficiently generate a number of different realisations of the designated galaxy populations, enabling the creation of mock LIM/redshift survey catalogues from large halo catalogues produced by fast DM-only simulations. We show that our model trained at multiple redshifts can be applied to DM halo lightcone data to generate a realistic mock galaxy lightcone with incorporating the redshift evolution of the galaxy population. The mock catalogues can be readily used to derive statistical quantities and to develop data analysis pipelines for ongoing and future wide-field surveys.

9 pages, 11 figures, accepted for publication in MNRAS

References in corpus (66)

• Populating a cluster of galaxies - I. Results at z=0
• Mass and environment as drivers of galaxy evolution in SDSS and zCOSMOS and the origin of the Schechter function
• Simulating Galaxy Formation with the IllustrisTNG Model
• First results from the IllustrisTNG simulations: matter and galaxy clustering
• First results from the IllustrisTNG simulations: the galaxy color bimodality
• Scaling Laws for Neural Language Models
• First results from the IllustrisTNG simulations: A tale of two elements -- chemical evolution of magnesium and europium
• The DESI Experiment Part I: Science,Targeting, and Survey Design
• First results from the IllustrisTNG simulations: radio haloes and magnetic fields
• Wide-Field InfrarRed Survey Telescope-Astrophysics Focused Telescope Assets WFIRST-AFTA 2015 Report
• The Halo Occupation Distribution: Towards an Empirical Determination of the Relation Between Galaxies and Mass
• LSST Science Book, Version 2.0
• The merger rate of galaxies in the Illustris Simulation: a comparison with observations and semi-empirical models
• Properties of Galaxy Groups in the SDSS: I.-- The Dependence of Colour, Star Formation, and Morphology on Halo Mass
• Extragalactic Science, Cosmology and Galactic Archaeology with the Subaru Prime Focus Spectrograph (PFS)
• Euclid. I. Overview of the Euclid mission
• The Illustris Simulation: Public Data Release
• A Re-examination of Galactic Conformity and a Comparison with Semi-analytic Models of Galaxy Formation
• The abundance of (not just) dark matter haloes
• An accurate tool for the fast generation of dark matter halo catalogs
• COPSS II: The Molecular Gas Content of Ten Million Cubic Megaparsecs at $z\sim 3$
• CCAT-prime Collaboration: Science Goals and Forecasts with Prime-Cam on the Fred Young Submillimeter Telescope
• Revealing the galaxy-halo connection in IllustrisTNG
• Intensity mapping of [CII] from early galaxies
• The Completed SDSS-IV extended Baryon Oscillation Spectroscopic Survey: exploring the Halo Occupation Distribution model for Emission Line Galaxies
• A wide field-of-view low-resolution spectrometer at APEX: instrument design and science forecast
• On the Physical Origin of Galactic Conformity
• The VIMOS Ultra Deep Survey: The reversal of the star-formation rate $-$ density relation at $2<z<5$
• An Intensity Mapping Detection of Aggregate CO Line Emission at 3 mm
• The CAMELS project: public data release
• Machine Learning and Cosmological Simulations II: Hydrodynamical Simulations
• SPHEREx: NASA's Near-Infrared Spectrophotmetric All-Sky Survey
• CONCERTO: High-fidelity simulation of millimeter line emissions of galaxies and [CII] intensity mapping
• The impact of galaxy formation on satellite kinematics and redshift-space distortions
• The SAGA Survey. III. A Census of 101 Satellite Systems around Milky Way-mass Galaxies
• Measuring Galaxy Clustering and the Evolution of [CII] Mean Intensity with far-IR Line Intensity Mapping During 0.5 < z < 1.5
• Physical origin of the large-scale conformity in the specific star formation rates of galaxies
• The MillenniumTNG Project: An improved two-halo model for the galaxy-halo connection of red and blue galaxies
• Machine-assisted Semi-Simulation Model (MSSM): Estimating Galactic Baryonic Properties from their Dark Matter using a Machine Trained on Hydrodynamic Simulations
• $\text{Mangrove}$: Learning Galaxy Properties from Merger Trees
• WFIRST Science Investigation Team "Cosmology with the High Latitude Survey" Annual Report 2017
• Dynamical mass inference of galaxy clusters with neural flows
• Machine Learning for Observational Cosmology
• Observing AGN feedback with CO intensity mapping
• The Experiment for Cryogenic Large-aperture Intensity Mapping (EXCLAIM)
• The Physical Origin of Galactic Conformity: From Theory to Observation
• An Intensity Mapping Constraint on the CO-Galaxy Cross Power Spectrum at Redshift ~ 3
• Approximate Bayesian Uncertainties on Deep Learning Dynamical Mass Estimates of Galaxy Clusters
• The halo light cone catalogues of \Abacus{AbacusSummit}
• LIMFAST. I. A Semi-Numerical Tool for Line Intensity Mapping
• Deep learning for intensity mapping observations: Component extraction
• Sampling-Based Accuracy Testing of Posterior Estimators for General Inference
• Deep Learning for Line Intensity Mapping Observations: Information Extraction from Noisy Maps
• A new probe of the high-redshift Universe: nulling CMB lensing with interloper-free "LIM-pair" lensing
• Searching for eV-mass Axion-like Particles with Cross Correlations between Line Intensity and Weak Lensing Maps
• High-fidelity reproduction of central galaxy joint distributions with Neural Networks
• Deep learning reconstruction of three-dimensional galaxy distributions with intensity mapping observations
• The Large-scale Effect of Environment on Galactic Conformity
• COMAP Pathfinder -- Season 2 results I. Improved data selection and processing
• A Hierarchy of Normalizing Flows for Modelling the Galaxy-Halo Relationship
• Constraining Cosmology With the CMB $\times$ LIM-Nulling Convergence
• The power spectrum of galaxies from large to small scales: a line-intensity mapping perspective
• How DREAMS are made: Emulating Satellite Galaxy and Subhalo Populations with Diffusion Models and Point Clouds
• Exploring the halo-galaxy connection with probabilistic approaches
• Mock catalogues of emission line galaxies based on the local mass density in dark-matter only simulations
• Inpainting Galaxy Counts onto N-Body Simulations over Multiple Cosmologies and Astrophysics