Figuring Out Gas and Galaxies In Enzo (FOGGIE). VIII. Complex and Stochastic Metallicity Gradients at z > 2

Gas-phase metallicity gradients are a crucial element in understanding the chemical evolution of galaxies. We use the FOGGIE simulations to study the metallicity gradients (∇ Z ) of six Milky Way–like galaxies throughout their evolution. FOGGIE galaxies generally exhibit steep negative gradients for...

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Main Authors: Ayan Acharyya, Molly S. Peeples, Jason Tumlinson, Brian W. O’Shea, Cassandra Lochhaas, Anna C. Wright, Raymond C. Simons, Ramona Augustin, Britton D. Smith, Eugene Hyeonmin Lee
Format: Article
Language:English
Published: IOP Publishing 2025-01-01
Series:The Astrophysical Journal
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Online Access:https://doi.org/10.3847/1538-4357/ad9dd8
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author Ayan Acharyya
Molly S. Peeples
Jason Tumlinson
Brian W. O’Shea
Cassandra Lochhaas
Anna C. Wright
Raymond C. Simons
Ramona Augustin
Britton D. Smith
Eugene Hyeonmin Lee
author_facet Ayan Acharyya
Molly S. Peeples
Jason Tumlinson
Brian W. O’Shea
Cassandra Lochhaas
Anna C. Wright
Raymond C. Simons
Ramona Augustin
Britton D. Smith
Eugene Hyeonmin Lee
author_sort Ayan Acharyya
collection DOAJ
description Gas-phase metallicity gradients are a crucial element in understanding the chemical evolution of galaxies. We use the FOGGIE simulations to study the metallicity gradients (∇ Z ) of six Milky Way–like galaxies throughout their evolution. FOGGIE galaxies generally exhibit steep negative gradients for most of their history, with only a few short-lived instances reaching positive slopes that appear to arise mainly from interactions with other galaxies. FOGGIE concurs with other simulation results but disagrees with the robust observational finding that flat and positive gradients are common at z  > 1. By tracking the metallicity gradient at a rapid cadence of simulation outputs (∼5–10 Myr), we find that theoretical gradients are highly stochastic: the FOGGIE galaxies spend ∼30%–50% of their time far away from a smoothed trajectory inferred from analytic models or other, less high-cadence simulations. This rapid variation makes instantaneous gradients from observations more difficult to interpret in terms of physical processes. Because of these geometric and stochastic complications, we explore nonparametric methods of quantifying the evolving metallicity distribution at z  > 1. We investigate how efficiently nonparametric measures of the 2D metallicity distribution respond to metal production and mixing. Our results suggest that new methods of quantifying and interpreting gas-phase metallicity will be needed to relate trends in upcoming high- z James Webb Space Telescope observations with the underlying physics of gas accretion, expulsion, and recycling in early galaxies.
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spelling doaj-art-8f0b39fd8b3f4846896c044e3306bff02025-01-22T08:36:57ZengIOP PublishingThe Astrophysical Journal1538-43572025-01-01979212910.3847/1538-4357/ad9dd8Figuring Out Gas and Galaxies In Enzo (FOGGIE). VIII. Complex and Stochastic Metallicity Gradients at z > 2Ayan Acharyya0https://orcid.org/0000-0003-4804-7142Molly S. Peeples1https://orcid.org/0000-0003-1455-8788Jason Tumlinson2https://orcid.org/0000-0002-7982-412XBrian W. O’Shea3https://orcid.org/0000-0002-2786-0348Cassandra Lochhaas4https://orcid.org/0000-0003-1785-8022Anna C. Wright5https://orcid.org/0000-0002-1685-5818Raymond C. Simons6https://orcid.org/0000-0002-6386-7299Ramona Augustin7https://orcid.org/0000-0001-7472-3824Britton D. Smith8https://orcid.org/0000-0002-6804-630XEugene Hyeonmin Lee9https://orcid.org/0009-0001-8366-7606Department of Physics & Astronomy, Johns Hopkins University , 3400 N. Charles Street, Baltimore, MD 21218, USA ; ayan.acharyya@inaf.it; INAF—Astronomical Observatory of Padova , Vicolo dell’Osservatorio 5, IT-35122 Padova, ItalyDepartment of Physics & Astronomy, Johns Hopkins University , 3400 N. Charles Street, Baltimore, MD 21218, USA ; ayan.acharyya@inaf.it; Space Telescope Science Institute , 3700 San Martin Drive, Baltimore, MD 21218, USADepartment of Physics & Astronomy, Johns Hopkins University , 3400 N. Charles Street, Baltimore, MD 21218, USA ; ayan.acharyya@inaf.it; Space Telescope Science Institute , 3700 San Martin Drive, Baltimore, MD 21218, USADepartment of Computational Mathematics, Science, and Engineering, Department of Physics and Astronomy, National Superconducting Cyclotron Laboratory, Michigan State University , USASpace Telescope Science Institute , 3700 San Martin Drive, Baltimore, MD 21218, USA; Center for Astrophysics , Harvard & Smithsonian, 60 Garden Street, Cambridge, MA 02138, USA; NASA Hubble FellowDepartment of Physics & Astronomy, Johns Hopkins University , 3400 N. Charles Street, Baltimore, MD 21218, USA ; ayan.acharyya@inaf.itSpace Telescope Science Institute , 3700 San Martin Drive, Baltimore, MD 21218, USA; Department of Physics, University of Connecticut , 196A Auditorium Road Unit 3046, Storrs, CT 06269, USASpace Telescope Science Institute , 3700 San Martin Drive, Baltimore, MD 21218, USA; Leibniz Institute for Astrophysics Potsdam (AIP) , An der Sternwarte 16, Potsdam 14482, GermanyInstitute for Astronomy, University of Edinburgh , Royal Observatory, EH9 3HJ, UKSpace Telescope Science Institute , 3700 San Martin Drive, Baltimore, MD 21218, USA; University of Texas at Austin , Physics, Math, and Astronomy Building, 2515 Speedway, Austin, TX 78712, USAGas-phase metallicity gradients are a crucial element in understanding the chemical evolution of galaxies. We use the FOGGIE simulations to study the metallicity gradients (∇ Z ) of six Milky Way–like galaxies throughout their evolution. FOGGIE galaxies generally exhibit steep negative gradients for most of their history, with only a few short-lived instances reaching positive slopes that appear to arise mainly from interactions with other galaxies. FOGGIE concurs with other simulation results but disagrees with the robust observational finding that flat and positive gradients are common at z  > 1. By tracking the metallicity gradient at a rapid cadence of simulation outputs (∼5–10 Myr), we find that theoretical gradients are highly stochastic: the FOGGIE galaxies spend ∼30%–50% of their time far away from a smoothed trajectory inferred from analytic models or other, less high-cadence simulations. This rapid variation makes instantaneous gradients from observations more difficult to interpret in terms of physical processes. Because of these geometric and stochastic complications, we explore nonparametric methods of quantifying the evolving metallicity distribution at z  > 1. We investigate how efficiently nonparametric measures of the 2D metallicity distribution respond to metal production and mixing. Our results suggest that new methods of quantifying and interpreting gas-phase metallicity will be needed to relate trends in upcoming high- z James Webb Space Telescope observations with the underlying physics of gas accretion, expulsion, and recycling in early galaxies.https://doi.org/10.3847/1538-4357/ad9dd8Galaxy chemical evolutionGalaxy evolutionMetallicityChemical abundances
spellingShingle Ayan Acharyya
Molly S. Peeples
Jason Tumlinson
Brian W. O’Shea
Cassandra Lochhaas
Anna C. Wright
Raymond C. Simons
Ramona Augustin
Britton D. Smith
Eugene Hyeonmin Lee
Figuring Out Gas and Galaxies In Enzo (FOGGIE). VIII. Complex and Stochastic Metallicity Gradients at z > 2
The Astrophysical Journal
Galaxy chemical evolution
Galaxy evolution
Metallicity
Chemical abundances
title Figuring Out Gas and Galaxies In Enzo (FOGGIE). VIII. Complex and Stochastic Metallicity Gradients at z > 2
title_full Figuring Out Gas and Galaxies In Enzo (FOGGIE). VIII. Complex and Stochastic Metallicity Gradients at z > 2
title_fullStr Figuring Out Gas and Galaxies In Enzo (FOGGIE). VIII. Complex and Stochastic Metallicity Gradients at z > 2
title_full_unstemmed Figuring Out Gas and Galaxies In Enzo (FOGGIE). VIII. Complex and Stochastic Metallicity Gradients at z > 2
title_short Figuring Out Gas and Galaxies In Enzo (FOGGIE). VIII. Complex and Stochastic Metallicity Gradients at z > 2
title_sort figuring out gas and galaxies in enzo foggie viii complex and stochastic metallicity gradients at z 2
topic Galaxy chemical evolution
Galaxy evolution
Metallicity
Chemical abundances
url https://doi.org/10.3847/1538-4357/ad9dd8
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