Euclid: The search for primordial features
M. Ballardini, Y. Akrami, F. Finelli, D. Karagiannis, B. Li, Y. Li, Z., Sakr, D. Sapone, A. Ach\'ucarro, M. Baldi, N. Bartolo, G. Ca\~nas-Herrera, S., Casas, R. Murgia, H. A. Winther, M. Viel, A. Andrews, J. Jasche, G. Lavaux,, D. K. Hazra, D. Paoletti, J. Valiviita, A. Amara

TL;DR
This paper forecasts Euclid's ability to detect primordial oscillatory features in the power spectrum, using Fisher matrix analysis and nonlinear reconstruction, to probe high-energy physics beyond the standard model.
Contribution
It introduces a comprehensive forecast of Euclid's sensitivity to primordial oscillations, combining multiple probes and a nonlinear reconstruction method for the first time.
Findings
Euclid can measure feature amplitudes with about 18-22% accuracy.
Combining Euclid with future CMB experiments improves constraints significantly.
Forecasted amplitude uncertainties are around 0.010 with both optimistic and pessimistic assumptions.
Abstract
Primordial features, in particular oscillatory signals, imprinted in the primordial power spectrum of density perturbations represent a clear window of opportunity for detecting new physics at high-energy scales. Future spectroscopic and photometric measurements from the space mission will provide unique constraints on the primordial power spectrum, thanks to the redshift coverage and high-accuracy measurement of nonlinear scales, thus allowing us to investigate deviations from the standard power-law primordial power spectrum. We consider two models with primordial undamped oscillations superimposed on the matter power spectrum, one linearly spaced in -space the other logarithmically spaced in -space. We forecast uncertainties applying a Fisher matrix method to spectroscopic galaxy clustering, weak lensing, photometric galaxy clustering, cross correlation between…
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