Confronting phantom inflation with Planck data
- 1. Raman Research Institute, Astronomy & Astrophysics (India)
- 2. Inter-University Center for Astronomy and Astrophysics (India)
- 3. University of Kashmir, Department of Physics (India)
Description
The latest Planck results are in excellent agreement with the theoretical expectations predicted from standard normal inflation based on slow-roll approximation which assumes equation-of-state . In this work, we study the phantom inflation () as an alternative cosmological model within the slow-climb approximation using two hybrid inflationary fields. We perform Chain Monte Carlo analysis to determine the posterior distribution and best fit values for the cosmological parameters using Planck data and show that current CMB data does not discriminate between normal and phantom inflation. Interestingly, unlike in normal inflation, in phantom induced inflation evolves very slowly away from −1 during the inflation. Furthermore, in contrast to the standard normal inflation for which only upper bound on tensor-to-scalar ratio are possible, we obtain both upper and lower bounds for the two hybrid fields in the phantom scenario. Finally, we discuss prospects of future high precision polarization measurements and show that it may be possible to establish the dominance of one model over the other.
Additional details
Identifiers
Publishing Information
- Journal Title
- Astrophysics and Space Science
- Journal Volume
- 363
- Journal Issue
- 11
- Journal Page Range
- p. 1-8
- ISSN
- 0004-640X
- CODEN
- APSSBE
INIS
- Country of Publication
- Netherlands
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 51037589
- Subject category
- S79: ASTROPHYSICS, COSMOLOGY AND ASTRONOMY;
- Descriptors DEI
- APPROXIMATIONS; COMPUTERIZED SIMULATION; COSMOLOGICAL INFLATION; COSMOLOGICAL MODELS; DISTRIBUTION; EQUATIONS OF STATE; MONTE CARLO METHOD; PHANTOMS; POLARIZATION; RELICT RADIATION
- Descriptors DEC
- CALCULATION METHODS; ELECTROMAGNETIC RADIATION; EQUATIONS; MATHEMATICAL MODELS; MICROWAVE RADIATION; MOCKUP; RADIATIONS; SIMULATION; STRUCTURAL MODELS
Optional Information
- Copyright
- Copyright (c) 2018 Springer Nature B.V.