WarmSPy: a numerical study of cosmological perturbations in warm inflation
Gabriele Montefalcone, Vikas Aragam, Luca Visinelli, Katherine, Freese

TL;DR
WarmSPy is a Python code that numerically solves perturbation equations in warm inflation models, providing robust fits for the scalar dissipation function across various parameters and confirming its universal behavior.
Contribution
The paper introduces WarmSPy, a numerical tool for analyzing perturbations in warm inflation, and offers new, more robust fits for the scalar dissipation function over a broad parameter range.
Findings
The scalar dissipation function G(Q) is largely independent of most parameters.
WarmSPy provides accurate fits for G(Q) for c=3,1,-1 cases.
The stability of G(Q) is confirmed across different inflationary scenarios.
Abstract
We present WarmSPy, a numerical code in Python designed to solve for the perturbations' equations in warm inflation models and compute the corresponding scalar power spectrum at CMB horizon crossing. In models of warm inflation, a radiation bath of temperature during inflation induces a dissipation (friction) rate of strength in the equation of motion for the inflaton field . While for a temperature-independent dissipation rate () an analytic expression for the scalar power spectrum exists, in the case of a non-zero value for the set of equations can only be solved numerically. For (), the coupling between the perturbations in the inflaton field and radiation induces a growing (decaying) mode in the scalar perturbations, generally parameterized by a multiplicative function which we refer to as the scalar dissipation function.…
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Taxonomy
TopicsCosmology and Gravitation Theories · Geophysics and Gravity Measurements · Solar and Space Plasma Dynamics
