Optimising marked power spectra for cosmology
Monthly Notices of the Royal Astronomical Society Oxford University Press 535:4 (2024) 3129-3140
Abstract:
Marked power spectra provide a computationally efficient way to extract non-Gaussian information from the matter density field using the usual analysis tools developed for the power spectrum without the need for explicit calculation of higher-order correlators. In this work, we explore the optimal form of the mark function used for re-weighting the density field, to maximally constrain cosmology. We show that adding to the mark function or multiplying it by a constant leads to no additional information gain, which significantly reduces our search space for optimal marks. We quantify the information gain of this optimal function and compare it against mark functions previously proposed in the literature. We find that we can gain around ∼2 times smaller errors in 𝜎8 and ∼4 times smaller errors in Ω𝑚 compared to using the traditional power spectrum alone, an improvement of ∼60% compared to other proposed marks when applied to the same data set.Cosmological constraints using Minkowski functionals from the first year data of the Hyper Suprime-Cam
ArXiv 2410.00401 (2024)
Hitting the mark: Optimising Marked Power Spectra for Cosmology
(2024)
Cosmology from HSC Y1 Weak Lensing with Combined Higher-Order Statistics and Simulation-based Inference
ArXiv 2409.01301 (2024)