Constraints on the inflationary vacuum and reheating era from NANOGrav
Abstract
NANOGrav and various pulsar timing array experiments recently reported evidence for a common red noise signal across millisecond pulsars. This signal exhibits Hellings-Downs inter-pulsar correlation patterns, providing compelling evidence for a stochastic gravitational wave background (SGWB) signal. In general, such a background can come from several astrophysical and cosmological phenomena. Assuming such SGWB has an inflationary origin, we use latest NANOGrav 15-year dataset to constrain the inflationary parameters e.g., tensor spectral index (nt), tensor-to-scalar ratio (r), and explore the implications for the reheating phase through constraints on the reheating equation of state (ωre) and reheating temperature (Tre). We find the preference for an extremely blue-tilted tensor spectrum nt=2.20+0.36-1.2 and the radiation-like reheating scenario ωre=0.33+0.14-0.36. Despite having no concrete evidence for the nature of the primordial vacua, the computation of gravitational wave (GW) sourced by tensor perturbations assumes the inflationary vacuum to be a Bunch-Davies vacuum. In this work, we examine modifications to the GW spectrum originating from the non-Bunch-Davies primordial vacuum. We find that NANOGrav observations favour a specific type of non-Bunch-Davies vacuum, known as the alpha-vacuum. Furthermore, our analysis demonstrates that the observations strikingly narrow down the range of the parameter α characterizing the vacua. On top of that, we find that a frequency-dependent parametrization of the vacuum parameter α beyond a threshold frequency can yield a minimal solution to alleviate the blue-titled issue. Finally, we highlight the possibility of testing such frequency dependence of α by probing the GW spectrum through future GW experiments.
Turn this paper into a full lesson
ArcXiv compiles a staged curriculum from this paper: 8-12 lessons across beginner → advanced, synthesised section guides, visuals, flashcards, a quiz, exercises, and on-demand deep dives per section. Grounded in the abstract, never invented.