Primordial non-Gaussianities with weak lensing: Information on non-linear scales in the Ulagam full-sky simulations
Dhayaa Anbajagane, Chihway Chang, Hayden Lee, Marco Gatti

TL;DR
This paper demonstrates that weak lensing fields, analyzed through simulations, can provide competitive constraints on primordial non-Gaussianities, especially on non-linear scales at low redshifts, complementing galaxy clustering methods.
Contribution
The study introduces the Ulagam suite of N-body simulations to evaluate weak lensing constraints on PNGs, highlighting their effectiveness on non-linear scales and providing publicly available simulation data.
Findings
Weak lensing can constrain PNGs with competitive precision.
Constraints are strongest on non-linear, low-redshift scales.
Scale cuts reduce constraining power by about 60%.
Abstract
Primordial non-Gaussianities (PNGs) are signatures in the density field that encode particle physics processes from the inflationary epoch. Such signatures have been extensively studied using the Cosmic Microwave Background, through constraining the amplitudes, , with future improvements expected from large-scale structure surveys; specifically, the galaxy correlation functions. We show that weak lensing fields can be used to achieve competitive and complementary constraints. This is shown via the new Ulagam suite of N-body simulations, a subset of which evolves primordial fields with four types of PNGs. We create full-sky lensing maps and estimate the Fisher information from three summary statistics measured on the maps: the moments, the cumulative distribution function, and the 3-point correlation function. We find that the year 10 sample from the Rubin Observatory…
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Taxonomy
TopicsCosmology and Gravitation Theories · Galaxies: Formation, Evolution, Phenomena · Astronomy and Astrophysical Research
