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Cited by 326

The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.

On the environmental dependence of halo formation

Open access
Sheth, Ravi K., Tormen, Giuseppe·2004·Monthly Notices of the Royal Astronomical Society

Abstract

A generic prediction of hierarchical gravitational clustering models is that the distribution of halo formation times should depend relatively strongly on halo mass, massive haloes forming more recently, and depend only weakly, if at all, on the large-scale environment of the haloes. We present a novel test of this assumption, which uses the statistics of weighted or ‘marked’ correlations, which prove to be particularly well-suited to detecting and quantifying weak correlations with environment. We find that close pairs of haloes form at slightly higher redshifts than more widely separated halo pairs, suggesting that haloes in dense regions form at slightly earlier times than haloes of the same mass in less dense regions. The environmental trends we find are useful for models that relate the properties of galaxies to the formation histories of the haloes that surround them.

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Crossref · 10.1111/j.1365-2966.2004.07733.x

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Metadata

Authors
Sheth, R. K., & Tormen, G.
Venue
Monthly Notices of the Royal Astronomical Society
Published
2004-06
Volume
350
Issue
4
Pages
1385-1390
ISSN
  • 0035-8711 (ISSN-L)
  • 1365-2966
OpenAlex
W2170876021
Cited by
326
References
18
FWCI
9.06
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: On the environmental dependence of halo formation. https://app.cochat.ai/papers/10.1111/j.1365-2966.2004.07733.x
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Sheth, R. K., & Tormen, G. (2004). On the environmental dependence of halo formation. Monthly Notices of the Royal Astronomical Society. https://doi.org/10.1111/j.1365-2966.2004.07733.x

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.