2018
DOI: 10.1093/mnras/sty2567
|View full text |Cite
|
Sign up to set email alerts
|

Galaxy orientation with the cosmic web across cosmic time

Abstract: This work investigates the alignment of galactic spins with the cosmic web across cosmic time using the cosmological hydrodynamical simulation Horizon-AGN. The cosmic web structure is extracted via the persistent skeleton as implemented in the DISPERSE algorithm. It is found that the spin of low-mass galaxies is more likely to be aligned with the filaments of the cosmic web and to lie within the plane of the walls while more massive galaxies tend to have a spin perpendicular to the axis of the filaments and to… Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

33
152
8

Year Published

2019
2019
2022
2022

Publication Types

Select...
8

Relationship

1
7

Authors

Journals

citations
Cited by 120 publications
(193 citation statements)
references
References 126 publications
33
152
8
Order By: Relevance
“…Using more than 150, 000 galaxies, Dubois et al (2014) and Codis et al (2018) predict that such a signal is robust and detectable using various tracers of galaxy evolution, yet very weak in the redshift ranges z = 1.2 − 1.8 and z = 1 − 0, with typical excess probabilities ξ < 0.05. Most of these predictions however include galaxies in massive groups and clusters, where processes such as dynamical friction and local torques on satellites decrease the signal significantly, as highlighted in Dubois et al (2014).…”
Section: Alignments Away From Clustersmentioning
confidence: 99%
See 2 more Smart Citations
“…Using more than 150, 000 galaxies, Dubois et al (2014) and Codis et al (2018) predict that such a signal is robust and detectable using various tracers of galaxy evolution, yet very weak in the redshift ranges z = 1.2 − 1.8 and z = 1 − 0, with typical excess probabilities ξ < 0.05. Most of these predictions however include galaxies in massive groups and clusters, where processes such as dynamical friction and local torques on satellites decrease the signal significantly, as highlighted in Dubois et al (2014).…”
Section: Alignments Away From Clustersmentioning
confidence: 99%
“…This algorithm has not only been used to analyse simulations (e.g. Dubois et al 2014;Welker et al 2014Welker et al , 2018Codis et al 2018;) but has also been successfully applied to real spectroscopic (VIPERS, GAMA) and photometric (COSMOS) surveys on wider redshift ranges (e.g. Malavasi et al 2017;Laigle et al 2018;.…”
Section: Gama Filamentsmentioning
confidence: 99%
See 1 more Smart Citation
“…Furthermore, there are many recent studies that report the alignment of clusters over ∼ 100 h −1 Mpc scales, and also between galaxies/clusters and the large-scale structure surrounding them (e.g. Catelan et al 2001;Hirata & Seljak 2004;Patiri et al 2006;Hirata et al 2007;Brunino et al 2007;Blazek et al 2011;Smargon et al 2012;Codis et al 2015;Blazek et al 2015;Chen et al 2016;van Uitert & Joachimi 2017;Okumura et al 2017;Chisari et al 2017;van Uitert & Joachimi 2017;Blazek et al 2017;Osato et al 2018;Piras et al 2018;Codis et al 2018;Chen et al 2019;Durret et al 2019). This raises the possibility that the orientation of DM haloes is imprinted in the large-scale structure in the Universe and BCGs tend to be aligned dynamically toward a particular direction.…”
mentioning
confidence: 99%
“…The intrinsic alignment (IA) of galaxy images (Heavens et al 2000;Croft & Metzler 2000;Lee & Pen 2000;Catelan et al 2001;Crittenden et al 2001;Hirata & Seljak 2004) (See Troxel & Ishak 2015;Joachimi et al 2015;Kirk et al 2015;Kiessling et al 2015, for reviews) is known to contaminate cosmological parameter estimations from weak lensing surveys, by 5 − 10% (Mandelbaum et al 2006;Hirata et al 2007;Joachimi et al 2011;Singh et al 2015). Precise modeling of the intrinsic alignments (IAs) is thus crucial for the cosmic shear to be a useful cosmological tool (Jing 2002;Smith & Watts 2005;Bridle & King 2007;Zhang 2010;Schneider & Bridle 2010;Blazek et al 2011Blazek et al , 2015Xia et al 2017;Codis et al 2018;Yao et al 2019b,a;Vlah et al 2019;Blazek et al 2019;). On the other hand, less focus has been drawn to the cosmological information IAs encode.…”
Section: Introductionmentioning
confidence: 99%