The effects of primordial non-Gaussianity on giant-arc statistics
Anson D'Aloisio, Priyamvada Natarajan

TL;DR
This study investigates how primordial non-Gaussianity influences the frequency of giant arcs in galaxy clusters, revealing that positive non-Gaussianity enhances their abundance while negative reduces it, with implications for cosmological models.
Contribution
It introduces a semi-analytic model incorporating non-Gaussian initial conditions into halo concentration calculations, extending previous Gaussian-based approaches.
Findings
Positive f_NL increases giant-arc optical depth by up to 45%.
Negative f_NL slightly decreases giant-arc abundance (~5%).
Non-Gaussianity significantly impacts lensing predictions and cluster properties.
Abstract
For over a decade, it has been debated whether the concordance LCDM model is consistent with the observed abundance of giant arcs in clusters. While previous theoretical studies have focused on properties of the lens and source populations, as well as cosmological effects such as dark energy, the impact of initial conditions on the giant-arc abundance is relatively unexplored. Here, we quantify the impact of non-Gaussian initial conditions with the local bispectrum shape on the predicted frequency of giant arcs. Using a path-integral formulation of the excursion set formalism, we extend a semi-analytic model for calculating halo concentrations to the case of primordial non-Gaussianity, which may be useful for applications outside of this work. We find that massive halos tend to collapse earlier in models with positive f_NL, relative to the Gaussian case, leading to enhanced…
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