Investigating the Constraints on Primordial Features with Future Cosmic Microwave Background and Galaxy Surveys
Debabrata Chandra, Supratik Pal

TL;DR
This study assesses how future CMB and galaxy surveys can detect primordial features in the inflationary power spectrum, using Fisher matrix forecasts for various observational combinations and feature models.
Contribution
It provides a comprehensive forecast of the constraints on primordial feature parameters from upcoming cosmological surveys, comparing their effectiveness across different feature types.
Findings
Future surveys can significantly constrain primordial feature parameters.
Synergistic use of CMB and LSS data improves detection prospects.
Different features have varying detectability depending on survey combinations.
Abstract
In this article, we do a thorough investigation of the competency of the forthcoming Cosmic Microwave Background (CMB) and Galaxy surveys in probing the features in the primordial power spectrum. Primordial features are specific model-dependent corrections on top of the standard power-law inflationary power spectrum; the functional form being given by different inflationary scenarios. Signature of any significant departure from the feature-less power spectrum will enable us to decipher the intricacies of the inflationary Universe. Here, we delve into three major yet distinct features, namely, Bump feature, Sharp feature signal, and Resonance feature signal. To analyse the features, we adopt a specific template for each feature model. We estimate the possible constraints on the feature parameters by employing Fisher matrix forecast analysis for the upcoming CMB missions such as CMB-S4,…
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