Reversing Arrested Development: A New Method to Address Halo Assembly Bias
William Smith, Andreas Berlind, and Manodeep Sinha

TL;DR
This paper introduces a novel method to test and correct for halo assembly bias caused by arrested development, revealing that such correction significantly reduces the bias in cosmological simulations.
Contribution
A new extrapolation-based technique to identify and mitigate arrested development effects in halo assembly bias within N-body simulations.
Findings
Correction reduces assembly bias strength by a factor of two.
Supports arrested development as a key cause of assembly bias.
Method improves interpretation of galaxy clustering data.
Abstract
Halo assembly bias is a phenomenon whereby the clustering of dark matter halos is dependent on halo properties, such as age, at fixed mass. Understanding the origin of assembly bias is important for interpreting the clustering of galaxies and constraining cosmological models. One proposed explanation for the origin of assembly bias is the truncation of mass accretion in low-mass halos in the presence of more massive halos, called 'arrested development.' Halos undergoing arrested development would have older measured ages and exhibit stronger clustering than equal mass halos that have not undergone arrested development. We propose a new method to test the validity of this explanation for assembly bias, and correct for it in cosmological N-body simulations. The method is based on the idea that the early mass accretion history of a halo, before arrested development takes effect, can be…
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Taxonomy
TopicsTechnology Assessment and Management
