Exploring the physical origins of halo assembly bias from early times

Context. The large-scale linear halo bias encodes the relation between the clustering of dark-matter (DM) halos and that of the underlying matter density field. Although the primary dependence of bias on halo mass is well understood in the context of structure formation, the physical origins of the multiple additional relations at fixed halo mass, commonly known as secondary halo bias, have not been fully elucidated. Of particular relevance is the secondary dependence on the halo assembly history, known as halo assembly bias. Aims. Our goal is to determine whether the properties of the initial regions from which z = 0 halos originate produce any secondary bias at z = 0. By analyzing these initial dependences in connection with halo assembly bias, we intend to provide insight into the physical origins of the effect. Methods. We selected halos at z = 0 in the IllustrisTNG DM-only simulation and traced back the positions and velocities of their DM particles to z = 12. The resulting initial regions were characterized according to several shape-related and kinematic properties. The secondary bias signal produced by these properties at z = 0 was measured using an object-by-object bias estimator, which offers significant analytical advantages as compared to the traditional approach. Results. We show that, when split by the properties of their initial DM clouds, z = 0 halos display significant secondary bias, clearly exceeding the amplitude of the well-known halo assembly bias signal produced by concentration and age. The maximum bias segregation is measured for cloud velocity dispersion and radial velocity, followed by cloud concentration, sphericity, ellipticity, and triaxiality. We further show that both velocity dispersion and radial velocity are also the properties of the initial clouds that most strongly correlate with halo age and concentration at fixed halo mass. Our results highlight the importance of linear effects in shaping halo assembly bias.

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2025-03-14
DOI
https://doi.org/10.1051/0004-6361/202452709/pdf
Primary Topic
Mycorrhizal Fungi and Plant Interactions
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Exploring the physical origins of halo assembly bias from early times

Springer Link (Chiba Institute of Technology)
Mycorrhizal Fungi and Plant Interactions
article

Exploring the physical origins of halo assembly bias from early times

article en

Abstract

Context. The large-scale linear halo bias encodes the relation between the clustering of dark-matter (DM) halos and that of the underlying matter density field. Although the primary dependence of bias on halo mass is well understood in the context of structure formation, the physical origins of the multiple additional relations at fixed halo mass, commonly known as secondary halo bias, have not been fully elucidated. Of particular relevance is the secondary dependence on the halo assembly history, known as halo assembly bias. Aims. Our goal is to determine whether the properties of the initial regions from which z = 0 halos originate produce any secondary bias at z = 0. By analyzing these initial dependences in connection with halo assembly bias, we intend to provide insight into the physical origins of the effect. Methods. We selected halos at z = 0 in the IllustrisTNG DM-only simulation and traced back the positions and velocities of their DM particles to z = 12. The resulting initial regions were characterized according to several shape-related and kinematic properties. The secondary bias signal produced by these properties at z = 0 was measured using an object-by-object bias estimator, which offers significant analytical advantages as compared to the traditional approach. Results. We show that, when split by the properties of their initial DM clouds, z = 0 halos display significant secondary bias, clearly exceeding the amplitude of the well-known halo assembly bias signal produced by concentration and age. The maximum bias segregation is measured for cloud velocity dispersion and radial velocity, followed by cloud concentration, sphericity, ellipticity, and triaxiality. We further show that both velocity dispersion and radial velocity are also the properties of the initial clouds that most strongly correlate with halo age and concentration at fixed halo mass. Our results highlight the importance of linear effects in shaping halo assembly bias.

Springer Link (Chiba Institute of Technology)
Openalex Percentile: Top 54%
Mycorrhizal Fungi and Plant Interactions
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.

Exploring the physical origins of halo assembly bias from early times · Springer Link (Chiba Institute of Technology) (2025) | TGRS Research Map | TGRS