Euclid: The search for primordial features
Authors: Ballardini M. , Akrami Y. , Finelli F. , Karagiannis D. , Li B. , Li Y. , Sakr Z. , Sapone D. , Achúcarro A. , Baldi M. , Bartolo N. , Cañas-Herrera G. , Casas S. , Murgia R. , Winther H.-A. , Viel M. , Andrews A. , Jasche J. , Lavaux G. , Hazra D. K. , Paoletti D. , Valiviita J. , Amara A. , Andreon S. , Auricchio N. , Battaglia P. , Bonino D. , Branchini E. , Brescia M. , Brinchmann J. , Camera S. , Capobianco V. , Carbone C. , Carretero J. , Castellano M. , Cavuoti S. , Cimatti A. , Congedo G. , Conversi L. , Copin Y. , Corcione L. , Courbin F. , Courtois H. M. , Da Silva A. , Degaudenzi H. , Dubath F. , Dupac X. , Farina M. , Farrens S. , Frailis M. , Franceschi E. , Fumana M. , Galeotta S. , Gillis B. , Giocoli C. , Grazian A. , Grupp F. , Haugan S. V. H. , Holmes W. , Hormuth F. , Hornstrup A. , Hudelot P. , Jahnke K. , Kermiche S. , Kiessling A. , Kunz M. , Kurki-Suonio H. , Lilje P. B. , Lindholm V. , Lloro I. , Maiorano E. , Mansutti O. , Marggraf O. , Martinet N. , Marulli F. , Massey R. , Medinaceli E. , Mei S. , Mellier Y. , Meneghetti M. , Merlin E. , Meylan G. , Moresco M. , Moscardini L. , Munari E. , Niemi S.-M. , Padilla C. , Paltani S. , Pasian F. , Pedersen K. , Percival W. J. , Pettorino V. , Pires S. , Polenta G. , Poncet M. , Popa L. A. , Pozzetti L. , Raison F. , Renzi A. , Rhodes J. , Riccio G. , Romelli E. , Roncarelli M. , Saglia R. , Sartoris B. , Schrabback T. , Secroun A. , Seidel G. , Serrano S. , Sirignano C. , Sirri G. , Stanco L. , Starck J.-L. , Surace C. , Tallada-Crespí P. , Taylor A. N. , Tereno I. , Toledo-Moreo R. , Torradeflot F. , Tutusaus I. , Valentijn E. A. , Valenziano L. , Vassallo T. , Veropalumbo A. , Wang Y. , Weller J. , Zamorani G. , Zoubian J. , Scottez V. 
Published: January 2024

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 Euclid 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 described by 1 + 𝒜X sin (ωXΞX + 2 πϕX), one linearly spaced in k space with Ξlin ≡ k/k* where k* = 0.05 Mpc−1 and the other logarithmically spaced in k space with Ξlog ≡ ln(k/k*). We note that 𝒜X is the amplitude of the primordial feature, ωX is the dimensionless frequency, and ϕX is the normalised phase, where X = {lin, log}. We provide forecasts from spectroscopic and photometric primary Euclid probes on the standard cosmological parameters Ωm, 0, Ωb, 0, h, ns, and σ8, and the primordial feature parameters 𝒜X, ωX, and ϕX. We focus on the uncertainties of the primordial feature amplitude 𝒜X and on the capability of Euclid to detect primordial features at a given frequency. We also study a nonlinear density reconstruction method in order to retrieve the oscillatory signals in the primordial power spectrum, which are damped on small scales in the late-time Universe due to cosmic structure formation. Finally, we also include the expected measurements from Euclid’s galaxy-clustering bispectrum and from observations of the cosmic microwave background (CMB). We forecast uncertainties in estimated values of the cosmological parameters with a Fisher matrix method applied to spectroscopic galaxy clustering (GCsp), weak lensing (WL), photometric galaxy clustering (GCph), the cross correlation (XC) between GCph and WL, the spectroscopic galaxy clustering bispectrum, the CMB temperature and E-mode polarisation, the temperature-polarisation cross correlation, and CMB weak lensing. We consider two sets of specifications for the Euclid probes (pessimistic and optimistic) and three different CMB experiment configurations, that is, Planck, Simons Observatory (SO), and CMB Stage-4 (CMB-S4). We find the following percentage relative errors in the feature amplitude with Euclid primary probes: for the linear (logarithmic) feature model, with a fiducial value of 𝒜X = 0.01, ωX = 10, and ϕX = 0: 21% (22%) in the pessimistic settings and 18% (18%) in the optimistic settings at a 68.3% confidence level (CL) using GCsp+WL+GCph+XC. While the uncertainties on the feature amplitude are strongly dependent on the frequency value when single Euclid probes are considered, we find robust constraints on 𝒜X from the combination of spectroscopic and photometric measurements over the frequency range of (1,  102.1). Due to the inclusion of numerical reconstruction, the GCsp bispectrum, SO-like CMB reduces the uncertainty on the primordial feature amplitude by 32%–48%, 50%–65%, and 15%–50%, respectively. Combining all the sources of information explored expected from Euclid in combination with the future SO-like CMB experiment, we forecast 𝒜lin ≃ 0.010 ± 0.001 at a 68.3% CL and 𝒜log ≃ 0.010 ± 0.001 for GCsp(PS rec + BS)+WL+GCph+XC+SO-like for both the optimistic and pessimistic settings over the frequency range (1,  102.1).