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Proceeding Paper

Probing Inflation with Large-Scale Structure Data: The Contribution of Information at Small Scales †

Paris Centre for Cosmological Physics, Université de Paris, CNRS, Astroparticule et Cosmologie, F-75006 Paris, France
Presented at the 1st Electronic Conference on Universe, 22–28 February 2021; Available online: https://ecu2021.sciforum.net/.
Academic Editor: Maxim Khlopov
Phys. Sci. Forum 2021, 2(1), 45; https://doi.org/10.3390/ECU2021-09371
Published: 1 March 2021
(This article belongs to the Proceedings of The 1st Electronic Conference on Universe)
Upcoming full-sky large-scale structure surveys such as Euclid can probe the primordial Universe. Using the specifications for the Euclid survey, we estimate the constraints on the inflation potential beyond slow-roll. We use mock Euclid and Planck data from fiducial cosmological models using the Wiggly Whipped Inflation (WWI) framework, which generates features in the primordial power spectrum. We include Euclid cosmic shear and galaxy clustering, with two setups (Conservative and Realistic) for the non-linear cut-off. We find that the addition of Euclid data gives an improvement in constraints in the WWI potential, with the Realistic setup providing marginal improvement over the Conservative for most models. This shows that Euclid may allow us to identify oscillations in the primordial spectrum present at intermediate to small scales. View Full-Text
Keywords: cosmology; inflation; weak lensing; cosmic microwave background cosmology; inflation; weak lensing; cosmic microwave background
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MDPI and ACS Style

Debono, I. Probing Inflation with Large-Scale Structure Data: The Contribution of Information at Small Scales. Phys. Sci. Forum 2021, 2, 45. https://doi.org/10.3390/ECU2021-09371

AMA Style

Debono I. Probing Inflation with Large-Scale Structure Data: The Contribution of Information at Small Scales. Physical Sciences Forum. 2021; 2(1):45. https://doi.org/10.3390/ECU2021-09371

Chicago/Turabian Style

Debono, Ivan. 2021. "Probing Inflation with Large-Scale Structure Data: The Contribution of Information at Small Scales" Physical Sciences Forum 2, no. 1: 45. https://doi.org/10.3390/ECU2021-09371

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