Published November 2025 | Version Published
Journal Article Open

Environmental vs. intrinsic quenching at cosmic noon: Predictions from cosmological hydrodynamical simulations for VLT-MOONRISE

  • 1. ROR icon Florida International University
  • 2. ROR icon California Institute of Technology
  • 3. ROR icon University of Virginia
  • 4. The NSF-Simons AI Institute for Cosmic Origins, USA
  • 5. ROR icon University of Cambridge
  • 6. ROR icon University College London

Abstract

We present an investigation into the quenching of simulated galaxies across cosmic time, honing in on the role played by both intrinsic and environmental mechanisms at different epochs. In anticipation of VLT-MOONRISE, the first wide-field spectroscopic galaxy survey to target cosmic noon, this work provides clear predictions to compare to the future observations. We investigate the quenching of centrals, high-mass satellites, and low-mass satellites from two cosmological hydrodynamical simulations: IllustrisTNG and EAGLE. Satellites are split according to bespoke mass thresholds, designed to separate environmental and intrinsic quenching mechanisms. To determine the best parameter for predicting quiescence, we apply a Random Forest classification analysis for each galaxy class at each epoch. The Random Forest classification determines supermassive black hole mass as the best predictor of quiescence in centrals and high-mass satellites. Alternatively, the quenching of low-mass satellites is best predicted by group halo mass, at all epochs. Additionally, we investigate the evolution in the dependence of the quenched fraction with various parameters, revealing a more complex picture. There is strong evidence for the rejuvenation of star formation from z = 2 to z = 0 in EAGLE, but not in IllustrisTNG. The starkest discrepancy between simulations rests in the mass threshold analysis. While IllustrisTNG predicts the existence of environmentally quenched satellites visible within the survey limits of MOONRISE, EAGLE does not. Hence, MOONRISE will provide critical data that is needed to evaluate current models, and constrain future models, of quenching processes.

Copyright and License

© The Author(s) 2025. Published by Oxford University Press on behalf of Royal Astronomical Society.
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

Acknowledgement

We are very grateful to the anonymous reviewer for many insightful and helpful comments on this work, which have helped to significantly improve the presentation of our results. AFLB gratefully acknowledges support from an NSF research grant: NSF-AST 2408009, in addition to the ORAU Ralph E. Powe Junior Faculty Enhancement Award in Physical Sciences, and research start-up funds from FIU. PHG also acknowledges support from NSF-AST 2408009. RM acknowledges support from the Science and Technology Facilities Council (STFC), ERC Advanced Grant 695671 ‘QUENCH’, and by the UKRI Frontier Research grant RISEandFALL. RM also acknowledges funding from a research professorship from the Royal Society. PT acknowledges support from NSF-AST 2346977 and the NSF-Simons AI Institute for Cosmic Origins which was supported by the National Science Foundation under Cooperative Agreement 2421782 and the Simons Foundation award MPS-AI-00010515.

Data Availability

All data used in this study have been previously published and are available at the following online locations:

  1. EAGLE: http://icc.dur.ac.uk/Eagle/
  2. TNG: https://www.tng-project.org/

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Additional details

Related works

Is new version of
Discussion Paper: arXiv:2509.09626 (arXiv)

Funding

National Science Foundation
AST-2408009
Florida International University
Science and Technology Facilities Council
European Research Council
695671
UK Research and Innovation
RISEandFALL
Royal Society
National Science Foundation
AST-2346977
National Science Foundation
2421782
Simons Foundation
MPS-AI-00010515

Dates

Submitted
2025-05-13
Accepted
2025-09-04
Available
2025-10-06
Corrected and typeset

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