Unifying inflation with late-time acceleration in BIonic system
Alireza Sepehri, Farook Rahaman, Mohammad Reza Setare, Anirudh, Pradhan, Salvatore Capozziello, Iftikar Hossain Sardar

TL;DR
This paper presents a cosmological model within a BIonic system that unifies inflation, deceleration, and late-time acceleration, aligning with observational data and predicting the universe's expansion phases.
Contribution
It introduces a novel BIonic system-based model that unifies different expansion phases of the universe, incorporating wormhole dynamics and brane interactions.
Findings
Model aligns with observational data.
Deceleration parameter matches expected signs during different epochs.
Predicts temperature evolution consistent with cosmological observations.
Abstract
In this research, we propose a new model that allows to unify inflation, deceleration and acceleration phases of expansion history in BIonic system. In this model, in the beginning, there have been black fundamental strings that transited to the BIon configuration at a corresponding point. At this point, two universe brane and universe antibrane have been created, interacted with each other via one wormhole and inflated. With decreasing temperature, the energy of this wormhole flowed into universe branes and lead to inflation. After a short time, wormhole died, inflation ended and deceleration epoch started. With approaching two universe brane and antibrane together, tachyon was born, grew and caused creation of one new wormhole. At this time, two universe brane and antibrane connected again and late-time acceleration era of the universe began. We compare our model with previous…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsCosmology and Gravitation Theories · Black Holes and Theoretical Physics · Computational Physics and Python Applications
