PIRSA:22110045

Video URL

https://pirsa.org/22110045

Shapes of non-Gaussianity in warm inflation

Mirbabayi, M. (2022). Shapes of non-Gaussianity in warm inflation. Perimeter Institute for Theoretical Physics. https://pirsa.org/22110045

Mirbabayi, Mehrdad. Shapes of non-Gaussianity in warm inflation. Perimeter Institute for Theoretical Physics, Nov. 29, 2022, https://pirsa.org/22110045 

          @misc{ scivideos_PIRSA:22110045,
            doi = {10.48660/22110045},
            url = {https://pirsa.org/22110045},
            author = {Mirbabayi, Mehrdad},
            keywords = {Cosmology, Particle Physics},
            language = {en},
            title = {Shapes of non-Gaussianity in warm inflation},
            publisher = {Perimeter Institute for Theoretical Physics},
            year = {2022},
            month = {nov},
            note = {PIRSA:22110045 see, \url{https://scivideos.org/index.php/pirsa/22110045}}
          }

Mehrdad Mirbabayi Institute for Advanced Study (IAS)

Talk numberPIRSA:22110045
DOI10.48660/22110045
Source RepositoryPIRSA
Collection
Talk Type Scientific Series
Subject

Abstract

Sphaleron heating has been recently proposed as a mechanism to realize warm inflation when inflaton is an axion coupled to pure Yang-Mills. As a result of heating, there is a friction coefficient γ\propto T^3 in the equation of motion for the inflaton, and a thermal contribution to cosmological fluctuations. Without the knowledge of the inflaton potential, non-Gaussianity is the most promising way of searching for the signatures of this model. Building on an earlier work by Bastero-Gil, Berera, Moss and Ramos, we compute the scalar three-point correlation function and point out some distinct features in the squeezed and folded limits. As a detection strategy, we show that the combination of the equilateral template and one new template has a large overlap with the shape of non-Gaussianity over the range 0.01 <= γ/Η <= 1000 and in this range 0.7<|f_NL|<50.

Zoom link:  https://pitp.zoom.us/j/95921707772?pwd=NUNhU1QrRm5HaDJNMEYyaTJXQmZnQT09