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Upcoming seminar
Upcoming seminar
Date: Jan. 14, 2026 @ 4:00 PM (in-person)
Date: Jan. 14, 2026 @ 4:00 PM (in-person)
Venue: Multimedia Room, Physical Sciences Building, IISc
Venue: Multimedia Room, Physical Sciences Building, IISc
Speaker: Matteo Braglia (CERN, Switzerland)
Speaker: Matteo Braglia (CERN, Switzerland)
Title: Back to the fEAtureS: signatures of primordial physics in the cosmic microwave background
Title: Back to the fEAtureS: signatures of primordial physics in the cosmic microwave background
Abstract: Primordial features are scale-dependent departures from the leading order scale-invariant spectra of the primordial density perturbations produced by Inflation. Such unique traces contain a high degree of informativity and their detection can be used to identify non-standard inflationary trajectories.
Abstract: Primordial features are scale-dependent departures from the leading order scale-invariant spectra of the primordial density perturbations produced by Inflation. Such unique traces contain a high degree of informativity and their detection can be used to identify non-standard inflationary trajectories.
In this talk, I discuss recent advances in comparing feature models to cosmological data, focusing on Cosmic Microwave Background (CMB) anisotropies, and present primordial feature signals that provide interesting fits to anomalies in the data. While the models remain statistically indistinguishable from the standard slow-roll scenario, future measurements of the polarization of the CMB offer optimistic prospects for detecting such best fit candidates and shed light on their primordial origin.
In this talk, I discuss recent advances in comparing feature models to cosmological data, focusing on Cosmic Microwave Background (CMB) anisotropies, and present primordial feature signals that provide interesting fits to anomalies in the data. While the models remain statistically indistinguishable from the standard slow-roll scenario, future measurements of the polarization of the CMB offer optimistic prospects for detecting such best fit candidates and shed light on their primordial origin.
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