How Dust Models Shape High-<i>z</i> Galaxy Morphology: Insights from the NewCluster Simulation

Abstract Dust plays a pivotal role in shaping the observed morphology of galaxies. While traditional cosmological simulations often assume a fixed dust-to-gas or dust-to-metal (DTM) mass ratio to model dust effects, recent advancements have enabled on-the-fly (OTF) dust modeling that captures the spatial and temporal evolution of dust. In this work, we investigate the impact of dust modeling on galaxy morphology using the NewCluster simulation, which implements a detailed OTF dust model. We generate mock images of NewCluster galaxies under both OTF and fixed DTM models using the radiative transfer code SKIRT , and compare their morphology to JWST observations. We measure morphology indices and use the G – M 20 test to classify galaxies. We find that the OTF galaxy models exhibit brighter centers and more pronounced bulges than those of the fixed DTM models, resulting in a lower late-type galaxy fraction, particularly at high redshifts. This central brightening is linked to a phenomenon we refer to as the DTM cavity, a localized depression in the DTM ratio driven by intense bulge starbursts. Our results highlight the importance of modeling dust evolution in a physically motivated manner, as fixed DTM models fail to capture key morphological features.

Authors

Publication Details

Journal
The Astrophysical Journal
Published
2025-10-08
DOI
https://doi.org/10.3847/1538-4357/adfed9
Citations
3
Primary Topic
Stellar, planetary, and galactic studies
Type
article
Field-Weighted Citation Impact
3.46

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

How Dust Models Shape High-z Galaxy Morphology: Insights from the NewCluster Simulation

Jinsu Rhee, Zachary P. Scofield, Christophe Pichon, Francisco Rodríguez Montero et al.
3 citations
The Astrophysical Journal
Stellar, planetary, and galactic studies
3.46
article

How Dust Models Shape High-z Galaxy Morphology: Insights from the NewCluster Simulation

Jinsu Rhee, Zachary P. Scofield, Christophe Pichon, Francisco Rodríguez Montero, M. Baes, San Han, J. K. Jang, Sukyoung K. Yi, Juhan Kim, Seyoung Jeon, Yohan Dubois, Eunmo Ahn, Gyeong-Hwan Byun
article en
3 citations

Abstract

Abstract Dust plays a pivotal role in shaping the observed morphology of galaxies. While traditional cosmological simulations often assume a fixed dust-to-gas or dust-to-metal (DTM) mass ratio to model dust effects, recent advancements have enabled on-the-fly (OTF) dust modeling that captures the spatial and temporal evolution of dust. In this work, we investigate the impact of dust modeling on galaxy morphology using the NewCluster simulation, which implements a detailed OTF dust model. We generate mock images of NewCluster galaxies under both OTF and fixed DTM models using the radiative transfer code SKIRT , and compare their morphology to JWST observations. We measure morphology indices and use the G – M 20 test to classify galaxies. We find that the OTF galaxy models exhibit brighter centers and more pronounced bulges than those of the fixed DTM models, resulting in a lower late-type galaxy fraction, particularly at high redshifts. This central brightening is linked to a phenomenon we refer to as the DTM cavity, a localized depression in the DTM ratio driven by intense bulge starbursts. Our results highlight the importance of modeling dust evolution in a physically motivated manner, as fixed DTM models fail to capture key morphological features.

The Astrophysical JournalVol. 992(1)
National Research Foundation, Agence Nationale de la Recherche, Danmarks Grundforskningsfond, Yonsei University, Korea Institute of Science and Technology Information, Korea Astronomy and Space Science Institute, Grand Équipement National De Calcul Intensif, Sorbonne Université, Korea Research Environment Open Network
Openalex Percentile: Top 7%
Stellar, planetary, and galactic studies
3.46
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.