Spatial Clustering of Dark Matter Halos: Secondary Bias, Neighbor Bias, and the Influence of Massive Neighbors on Halo Properties
Andr\'es N. Salcedo, Ariyeh H. Maller, Andreas A. Berlind, Manodeep, Sinha, Cameron K. McBride, Peter S. Behroozi, Risa H. Wechsler, David H., Weinberg

TL;DR
This paper investigates how dark matter halo clustering depends on multiple properties, revealing secondary biases and neighbor influences, with implications for understanding halo formation and large-scale structure.
Contribution
It demonstrates that secondary bias exists across various halo properties and identifies neighbor bias as a key factor, highlighting the complex nature of halo clustering.
Findings
Secondary bias exists for halos binned by mass or other properties.
Neighbor bias significantly influences halo property distributions.
Spin bias appears to have a different origin than other secondary biases.
Abstract
We explore the phenomenon commonly known as halo assembly bias, whereby dark matter halos of the same mass are found to be more or less clustered when a second halo property is considered, for halos in the mass range . Using the Large Suite of Dark Matter Simulations (LasDamas) we consider nine commonly used halo properties and find that a clustering bias exists if halos are binned by mass or by any other halo property. This secondary bias implies that no single halo property encompasses all the spatial clustering information of the halo population. The mean values of some halo properties depend on their halo's distance to a more massive neighbor. Halo samples selected by having high values of one of these properties therefore inherit a neighbor bias such that they are much more likely to…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
