3 research outputs found

    Minimising the impact of scale-dependent galaxy bias on the joint cosmological analysis of large scale structures

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    We present a mitigation strategy to reduce the impact of non-linear galaxy bias on the joint `3×23 \times 2 pt' cosmological analysis of weak lensing and galaxy surveys. The Ψ\Psi-statistics that we adopt are based on Complete Orthogonal Sets of E/B Integrals (COSEBIs). As such they are designed to minimise the contributions to the observable from the smallest physical scales where models are highly uncertain. We demonstrate that Ψ\Psi-statistics carry the same constraining power as the standard two-point galaxy clustering and galaxy-galaxy lensing statistics, but are significantly less sensitive to scale-dependent galaxy bias. Using two galaxy bias models, motivated by halo-model fits to data and simulations, we quantify the error in a standard 3×23 \times 2pt analysis where constant galaxy bias is assumed. Even when adopting conservative angular scale cuts, that degrade the overall cosmological parameter constraints, we find of order 1σ1 \sigma biases for Stage III surveys on the cosmological parameter S8=σ8(Ωm/0.3)αS_8 = \sigma_8(\Omega_{\rm m}/0.3)^{\alpha}. This arises from a leakage of the smallest physical scales to all angular scales in the standard two-point correlation functions. In contrast, when analysing Ψ\Psi-statistics under the same approximation of constant galaxy bias, we show that the bias on the recovered value for S8S_8 can be decreased by a factor of ∼2\sim 2, with less conservative scale cuts. Given the challenges in determining accurate galaxy bias models in the highly non-linear regime, we argue that 3×23 \times 2pt analyses should move towards new statistics that are less sensitive to the smallest physical scales.Comment: 14 pages, 13 figures, accepted to be published in MNRA

    A 500-year experiment

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    Charles Cockell and colleagues describe an experiment that started in 2014 and will finish in 2514. It will document how long desiccated microbes can survive, with implications for life in the planetary crust and in space
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