DSWIM adds a Hubble-scaled deterministic correlation matrix evolution to SWIM that preserves the primordial curvature power spectrum exactly while improving numerical conditioning and resolving stochastic-deterministic discrepancies.
del Campo, R
2 Pith papers cite this work. Polarity classification is still indexing.
abstract
This paper studies the stability of warm inflationary solutions when the viscous pressure is taken into account. The latter is a very natural and physically motivated ingredient of warm inflation and is seen to widen the stability range of warm inflation. The spectral index parameters, $n_{s}$, $n_{T}$, and their ratio are derived. The corresponding WMAP7 data are used to fix some parameters of the model. Two specific examples are discussed in detail: (i) a potential given by $V(\phi, T) = v_{1}(\phi)\, + \, v_{2}(T)$, and (ii) a potential of the form $V(\phi, T) = \alpha \, v_{1}(\phi) \, v_{2}(T)$. In both cases, the viscosity has little impact on the said ratio.
citation-role summary
citation-polarity summary
fields
astro-ph.CO 2years
2026 2verdicts
UNVERDICTED 2roles
background 1polarities
background 1representative citing papers
SWIM is a publicly available numerical platform that generates full Warm Inflation scalar power spectra and enables MCMC parameter estimation with CMB data for arbitrary potentials and dissipation forms.
citing papers explorer
-
DSWIM:Efficient and Stable Deterministic Computation of Warm Inflation Perturbations
DSWIM adds a Hubble-scaled deterministic correlation matrix evolution to SWIM that preserves the primordial curvature power spectrum exactly while improving numerical conditioning and resolving stochastic-deterministic discrepancies.
-
SWIM: Stochastic Warm Inflation Module to generate and analyse Warm Inflationary power spectrum
SWIM is a publicly available numerical platform that generates full Warm Inflation scalar power spectra and enables MCMC parameter estimation with CMB data for arbitrary potentials and dissipation forms.