Calibrating Galaxy Infall Times in Groups and Clusters with IllustrisTNG Simulations

Abstract The time since a galaxy first became a satellite is central to understanding how environment drives galaxy evolution, yet it cannot be measured directly. Using the TNG300 and TNG-Cluster simulations, we track satellites from z = 1 to z = 0 and derive a simple, redshift-dependent prescription for infall time <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" overflow="scroll"> <mml:msub> <mml:mrow> <mml:mi>T</mml:mi> </mml:mrow> <mml:mrow> <mml:mi mathvariant="normal">inf</mml:mi> </mml:mrow> </mml:msub> </mml:math> based on position in projected phase space and stellar mass, via symbolic regression. The resulting calibration provides continuous, observation-ready estimates of T inf across projected phase space. In projected phase space, <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" overflow="scroll"> <mml:msub> <mml:mrow> <mml:mi>T</mml:mi> </mml:mrow> <mml:mrow> <mml:mi mathvariant="normal">inf</mml:mi> </mml:mrow> </mml:msub> </mml:math> is often well described by two components, and we provide analytic expressions for the corresponding characteristic timescales. This framework can be applied directly to spectroscopic samples to infer environmental histories in galaxy groups and clusters.

Authors

Institutions

Publication Details

Journal
The Astrophysical Journal
Published
2026-03-24
DOI
https://doi.org/10.3847/1538-4357/ae4e21
Primary Topic
Galaxies: Formation, Evolution, Phenomena
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Calibrating Galaxy Infall Times in Groups and Clusters with IllustrisTNG Simulations

Florine Masson, Laura C. Parker
The Astrophysical Journal
Galaxies: Formation, Evolution, Phenomena
article

Calibrating Galaxy Infall Times in Groups and Clusters with IllustrisTNG Simulations

Florine Masson, Laura C. Parker
article en

Abstract

Abstract The time since a galaxy first became a satellite is central to understanding how environment drives galaxy evolution, yet it cannot be measured directly. Using the TNG300 and TNG-Cluster simulations, we track satellites from z = 1 to z = 0 and derive a simple, redshift-dependent prescription for infall time <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" overflow="scroll"> <mml:msub> <mml:mrow> <mml:mi>T</mml:mi> </mml:mrow> <mml:mrow> <mml:mi mathvariant="normal">inf</mml:mi> </mml:mrow> </mml:msub> </mml:math> based on position in projected phase space and stellar mass, via symbolic regression. The resulting calibration provides continuous, observation-ready estimates of T inf across projected phase space. In projected phase space, <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" overflow="scroll"> <mml:msub> <mml:mrow> <mml:mi>T</mml:mi> </mml:mrow> <mml:mrow> <mml:mi mathvariant="normal">inf</mml:mi> </mml:mrow> </mml:msub> </mml:math> is often well described by two components, and we provide analytic expressions for the corresponding characteristic timescales. This framework can be applied directly to spectroscopic samples to infer environmental histories in galaxy groups and clusters.

The Astrophysical JournalVol. 1000(2)
Université Paris Sciences et Lettres (FR), École Normale Supérieure - PSL (FR), Paris School of Economics (FR), McMaster University (CA)
Openalex Percentile: Top 18%
Galaxies: Formation, Evolution, Phenomena
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.