Environmental vs. intrinsic quenching at cosmic noon: Predictions from cosmological hydrodynamical simulations for VLT-MOONRISE
Creators
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
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:
Files
staf1554.pdf
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
-
2025-10-06Corrected and typeset
Caltech Custom Metadata
- Caltech groups
- Division of Physics, Mathematics and Astronomy (PMA)
- Publication Status
- Published