Euclid: The search for primordial features
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 photometric probes, spectroscopic galaxy clustering bispectrum, CMB temperature and -mode polarization, temperature-polarization cross correlation, and CMB weak lensing. We also study a nonlinear density reconstruction method to retrieve the oscillatory signals in the primordial power spectrum. We find the following percentage relative errors in the feature amplitude with primary probes for the linear (logarithmic) feature model: 21% (22%) in the pessimistic settings and 18% (18%) in the optimistic settings at 68.3% confidence level (CL) using GC+WL+GC+XC. Combining all the sources of information explored expected from in combination with future SO-like CMB experiment, we forecast at 68.3% CL and for GC(PS rec + BS)+WL+GC+XC+SO-like both for the optimistic and pessimistic settings over the frequency range .
Cite
@article{arxiv.2309.17287,
title = {Euclid: The search for primordial features},
author = {M. Ballardini and Y. Akrami and F. Finelli and D. Karagiannis and B. Li and Y. Li and Z. Sakr and D. Sapone and A. Achúcarro and M. Baldi and N. Bartolo and G. Cañas-Herrera and S. Casas and R. Murgia and H. A. Winther and M. Viel and A. Andrews and J. Jasche and G. Lavaux and D. K. Hazra and D. Paoletti and J. Valiviita and A. Amara and S. Andreon and N. Auricchio and P. Battaglia and D. Bonino and E. Branchini and M. Brescia and J. Brinchmann and S. Camera and V. Capobianco and C. Carbone and J. Carretero and M. Castellano and S. Cavuoti and A. Cimatti and G. Congedo and L. Conversi and Y. Copin and L. Corcione and F. Courbin and H. M. Courtois and A. Da Silva and H. Degaudenzi and F. Dubath and X. Dupac and M. Farina and S. Farrens and M. Frailis and E. Franceschi and M. Fumana and S. Galeotta and B. Gillis and C. Giocoli and A. Grazian and F. Grupp and S. V. H. Haugan and W. Holmes and F. Hormuth and A. Hornstrup and P. Hudelot and K. Jahnke and S. Kermiche and A. Kiessling and M. Kunz and H. Kurki-Suonio and P. B. Lilje and V. Lindholm and I. Lloro and E. Maiorano and O. Mansutti and O. Marggraf and N. Martinet and F. Marulli and R. Massey and E. Medinaceli and S. Mei and Y. Mellier and M. Meneghetti and E. Merlin and G. Meylan and M. Moresco and L. Moscardini and E. Munari and S. M. Niemi and C. Padilla and S. Paltani and F. Pasian and K. Pedersen and W. J. Percival and V. Pettorino and S. Pires and G. Polenta and M. Poncet and L. A. Popa and L. Pozzetti and F. Raison and A. Renzi and J. Rhodes and G. Riccio and E. Romelli and M. Roncarelli and R. Saglia and B. Sartoris and T. Schrabback and A. Secroun and G. Seidel and S. Serrano and C. Sirignano and G. Sirri and L. Stanco and J. L. Starck and C. Surace and P. Tallada-Crespí and A. N. Taylor and I. Tereno and R. Toledo-Moreo and F. Torradeflot and I. Tutusaus and E. A. Valentijn and L. Valenziano and T. Vassallo and A. Veropalumbo and Y. Wang and J. Weller and G. Zamorani and J. Zoubian and V. Scottez},
journal= {arXiv preprint arXiv:2309.17287},
year = {2024}
}
Comments
23 pages, 9 figures, 4 tables