Knot reconstruction of the scalar primordial power spectrum with Planck, ACT, and SPT CMB data
arXiv:2503.10609 · doi:10.1088/1475-7516/2025/07/077
Abstract
We investigate a non-parametric Bayesian method for reconstructing the primordial power spectrum (PPS) of scalar perturbations using temperature and polarisation data from the {\em Planck}, ACT, and SPT CMB experiments. This reconstruction method is based on linear splines for the PPS between nodes in -space whose amplitudes and positions are allowed to vary. All three data sets consistently show no significant deviations from a power-law form in the range independent of the number of knots adopted to perform the reconstruction. The addition of high-resolution CMB measurements from ACT and SPT slightly improves the range of scales of the scalar PPS which are well constrained around a power law up to and , respectively. At large scales, a potential oscillatory feature in the primordial power spectrum appears when we consider six or more nodes. We test the robustness of the methodology and our results by varying the detailed number of knots from to . We have used the reconstructed scalar PPS to derive several quantities related to inflationary dynamics, such as the effective scalar spectral index, which describes the dependence of the PPS on the scales and parameters associated with the effective field theory of inflation, to provide information on possible departures from the standard single-field canonical case. Finally, we investigate whether the excess of smoothing in the region of the acoustic peaks of the CMB anisotropy temperature power spectrum in the \textit{Planck} PR3 data is degenerate with our reconstructions of the PPS, but find no significant correlation between them.
20 pages, 12 figures
References in corpus (34)
- The Effective Field Theory of Inflation
- DESI 2024 VI: Cosmological Constraints from the Measurements of Baryon Acoustic Oscillations
- Euclid. I. Overview of the Euclid mission
- PolyChord: nested sampling for cosmology
- Generation and Characterization of Large Non-Gaussianities in Single Field Inflation
- A precision calculation of relic neutrino decoupling
- Cosmic Microwave Weak lensing data as a test for the dark universe
- CMB power spectra and cosmological parameters from Planck PR4 with CamSpec
- Inflation and WMAP three year data: Features have a Future!
- New Constraints on Oscillations in the Primordial Spectrum of Inflationary Perturbations
- Primordial power spectrum from Planck
- Inflation: Theory and Observations
- Model selection applied to reconstruction of the Primordial Power Spectrum
- Wiggly Whipped Inflation
- Standard Clock in Primordial Density Perturbations and Cosmic Microwave Background
- Reconstruction of the Dark Energy equation of state
- Untangling features in the primordial spectra
- Reconstruction of the primordial power spectra with Planck and BICEP2
- Cosmic Inflation at the Crossroads
- CMB Constraints on Principal Components of the Inflaton Potential
- Slow-Roll Inflation at N3LO
- Euclid: The search for primordial features
- New constraints on primordial features from the galaxy two-point correlation function
- Primordial power spectrum at N3LO in effective theories of inflation
- Nonparametric reconstructions of dynamical dark energy via flexknots
- Primordial feature constraints from BOSS+eBOSS
- Chasing cosmic inflation: constraints for inflationary models and reheating insights
- Third-order corrections to the slow-roll expansion: calculation and constraints with Planck, ACT, SPT, and BICEP/Keck
- On the primordial origin of the smoothing excess in the temperature power spectrum in light of LSS data
- Optimising Inflationary Features the Bayesian Way
- FlexKnot as a Generalised Model of the Sky-averaged 21-cm Signal at z ~ 6-30 in the Presence of Systematics
- Refining the nonlinear modelling of primordial oscillatory features
- A search for super-imposed oscillations to the primordial power spectrum in Planck and SPT-3G 2018 data
- Bayesian inference methodology for Primordial Power Spectrum reconstructions from Large Scale Structure