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Effects of galactic environment on size and dark matter content in low-mass galaxies

Astrophysics

Authors

Francisco J. Mercado, Jorge Moreno, Robert Feldmann, Marckie Zeender, Jose A. Benavides, Joanna M. Piotrowska, Courtney Klein, Coral Wheeler, Lina Necib, James S. Bullock, Philip F. Hopkins

Abstract

We utilize the cosmological volume simulation, FIREbox, to investigate how a galaxy's environment influences its size and dark matter content. Our study focuses on approximately 1,200 galaxies (886 central and 332 satellite halos) in the low-mass regime, with stellar masses between $10^6$ to $10^9$ $M_{\odot}$. We analyze the size-mass relation ($r_{50} - M_{\star}$), inner dark matter mass-stellar mass ($M^{50}_{\rm DM} - M_{\star}$) relation, and the halo mass-stellar mass ($M_{\rm halo} - M_{\star}$) relation. At fixed stellar mass, we find the galaxies experiencing stronger tidal influences, indicated by higher Perturbation Indices (PI $>$ 1) are generally larger and have lower masses relative to their counterparts with lower Perturbation Indices (PI $<$ 1). Applying a Random Forest regression model, we show that both the environment (PI) and halo mass ($M_{rm halo}$) are significant predictors of a galaxy's relative size and dark matter content. Notably, because $M_{\rm halo}$ is also strongly affected by the environment, our findings indicate that environmental conditions not only influence galactic sizes and relative inner dark matter content directly, but also indirectly through their impact on halo mass. Our results highlight a critical interplay between environmental factors and halo mass in shaping galaxy properties, affirming the environment as a fundamental driver in galaxy formation and evolution.

Concepts

cosmological simulation dark matter galaxy size-mass relation halo mass-stellar mass relation regression tidal stripping ensemble methods galaxy classification stellar feedback bayesian inference

The Big Picture

Imagine two people with identical genetics raised in completely different neighborhoods. Despite identical starting points, their lives unfold differently. Galaxies face the same problem. Two dwarf galaxies born with the same stellar mass can end up radically different, one puffy and stretched, the other compact and dense, simply because of where they formed in the cosmic web.

Why small galaxies look so different from one another has puzzled astronomers for decades. Dwarf galaxies, the universe’s most abundant type, range wildly in size and dark matter content. Some are ghostly, diffuse wisps barely held together. Others are tight, dark-matter-packed systems.

A galaxy’s neighborhood probably plays a role, but disentangling environmental influence from intrinsic properties has been notoriously difficult. A team led by Francisco Mercado used the FIREbox cosmological simulation to directly quantify how environment sculpts dwarf galaxy size and dark matter content, training a machine learning model to tease apart cause and effect.

Key Insight: The gravitational push-and-pull a galaxy feels from its neighbors doesn’t just nudge its properties. It reshapes how large a galaxy grows and how much dark matter it retains, both directly and by eroding the dark matter halo (the invisible cloud of dark matter that surrounds and gravitationally holds a galaxy together) that shapes everything else.

How It Works

The team turned to FIREbox, a cosmological simulation from the Feedback In Realistic Environments (FIRE) project that tracks galaxy formation across a cube of space roughly 22 megaparsecs on a side. Unlike zoom-in simulations that study single galaxies in extreme detail, FIREbox captures a statistical sample of about 1,200 low-mass galaxies: 886 “central” galaxies sitting at the heart of their own dark matter halos and 332 “satellites” orbiting inside larger host halos. All have stellar masses between one million and one billion times the mass of our Sun.

Figure 1

To measure each galaxy’s gravitational stress from its surroundings, they introduced the Perturbation Index (PI), a single number capturing the cumulative tidal force a galaxy feels from all its neighbors, weighted by their mass and proximity. Tidal force is the stretching force that arises when gravity pulls harder on one side of an object than the other. It’s the same physics behind Earth’s ocean tides, just at cosmic scales.

A galaxy with PI > 1 is significantly tugged by its environment; PI < 1 means it’s relatively undisturbed. This metric lets the team slice their sample into disturbed and undisturbed groups and compare properties at fixed stellar mass.

At the same stellar mass, high-PI galaxies are systematically larger, sometimes dramatically so, and carry significantly less dark matter in their central regions than more isolated counterparts. Environmental harassment puffs galaxies up while stripping away their dark matter.

To disentangle causation, the team trained a Random Forest regression model to predict each galaxy’s relative size and dark matter content. Random Forest is an ensemble technique that builds hundreds of decision trees, each a flowchart of yes/no questions about the data, and averages their predictions. Inputs included the Perturbation Index, total halo mass, and stellar mass. The model’s feature importance scores, which rank how heavily each variable contributes to predictions, revealed which properties matter most for galaxy structure.

Figure 2

Both environment (PI) and halo mass emerged as significant predictors. But halo mass is itself strongly shaped by environment: galaxies in high-tidal-force regions tend to have their dark matter halos stripped, reducing total halo mass. So environment operates on two tracks simultaneously. A direct track physically distorts and inflates the galaxy. An indirect track erodes the dark matter halo the galaxy depends on.

The team examined three key scaling relations:

  • Size-mass relation (half-light radius vs. stellar mass): High-PI galaxies sit systematically above the median at fixed stellar mass. The half-light radius is the distance from a galaxy’s center enclosing half its total light.
  • Inner dark matter mass-stellar mass relation (dark matter within the half-mass radius vs. stellar mass): High-PI galaxies are dark-matter-poor relative to low-PI counterparts.
  • Halo mass-stellar mass relation: High-PI galaxies occupy systematically lower-mass halos, consistent with tidal stripping of the outer dark matter envelope.

Why It Matters

The Vera C. Rubin Observatory, currently coming online in Chile, will soon deliver a census of millions of faint dwarf galaxies across all cosmic environments. The Nancy Grace Roman Space Telescope will push even deeper. Astronomers will finally have statistical samples spanning the full range of environments, from isolated voids to dense galaxy clusters.

Interpreting that data requires knowing what actually drives dwarf galaxy diversity. Mercado and colleagues offer a clear answer: environment shapes dwarf galaxies through both direct tidal distortion and indirect halo mass erosion, and any viable model must account for both pathways at once.

The payoff is clearest for ultra-diffuse galaxies (UDGs), ghostly, spread-out systems that seem to contain far too little dark matter for their size. These results support the idea that tidal processes in dense environments can naturally inflate galaxies into UDG territory, no exotic physics required.

The machine learning component here does real scientific work. Random Forest feature importance gives a data-driven way to rank the causes of galaxy diversity in a complex simulation. As cosmological simulations grow more data-rich, these interpretability tools will become standard equipment for pulling out physical insight.

Bottom Line: Where a galaxy lives in the cosmic web isn’t background scenery. It’s an active sculptor that stretches galaxies larger and strips them of dark matter, through both direct tidal forces and the slow erosion of the dark matter halos that hold galaxies together.

IAIFI Research Highlights

Interdisciplinary Research Achievement
This work connects cosmological simulation science with interpretable machine learning, using a Random Forest model to disentangle the competing roles of environment and halo mass in shaping dwarf galaxy structure, a question that purely statistical or analytical approaches struggle to resolve.
Impact on Artificial Intelligence
Applying Random Forest feature importance to high-dimensional astrophysical simulation data shows how ensemble ML methods can function as causal inference tools, ranking physical drivers in complex systems where controlled experiments are impossible.
Impact on Fundamental Interactions
By quantifying how tidal forces reshape the size and dark matter content of low-mass galaxies, this study sharpens our picture of how large-scale cosmic structure governs the smallest, most common galaxies within it.
Outlook and References
As Rubin Observatory and the Roman Space Telescope begin delivering vast samples of observed dwarf galaxies, this simulation-based framework will be essential for interpreting the full diversity of low-mass galaxy populations; the full study is available at [arXiv:2501.04084](https://arxiv.org/abs/2501.04084).

Original Paper Details

Title
Effects of galactic environment on size and dark matter content in low-mass galaxies
arXiv ID
2501.04084
Authors
Francisco J. Mercado, Jorge Moreno, Robert Feldmann, Marckie Zeender, Jose A. Benavides, Joanna M. Piotrowska, Courtney Klein, Coral Wheeler, Lina Necib, James S. Bullock, Philip F. Hopkins
Abstract
We utilize the cosmological volume simulation, FIREbox, to investigate how a galaxy's environment influences its size and dark matter content. Our study focuses on approximately 1,200 galaxies (886 central and 332 satellite halos) in the low-mass regime, with stellar masses between $10^6$ to $10^9$ $M_{\odot}$. We analyze the size-mass relation ($r_{50} - M_{\star}$), inner dark matter mass-stellar mass ($M^{50}_{\rm DM} - M_{\star}$) relation, and the halo mass-stellar mass ($M_{\rm halo} - M_{\star}$) relation. At fixed stellar mass, we find the galaxies experiencing stronger tidal influences, indicated by higher Perturbation Indices (PI $>$ 1) are generally larger and have lower masses relative to their counterparts with lower Perturbation Indices (PI $<$ 1). Applying a Random Forest regression model, we show that both the environment (PI) and halo mass ($M_{\rm halo}$) are significant predictors of a galaxy's relative size and dark matter content. Notably, because $M_{\rm halo}$ is also strongly affected by the environment, our findings indicate that environmental conditions not only influence galactic sizes and relative inner dark matter content directly, but also indirectly through their impact on halo mass. Our results highlight a critical interplay between environmental factors and halo mass in shaping galaxy properties, affirming the environment as a fundamental driver in galaxy formation and evolution.