Expectations and sensitivity of the scalar field Dark Energy reconstruction from the SNe Ia data
Sergey Pavluchenko, Luca Amendola, Arpine Piloyan

TL;DR
This paper investigates a model-independent method for reconstructing the scalar field potential of Dark Energy from SNe Ia data, highlighting its limitations with current data precision and the challenges in obtaining reliable reconstructions.
Contribution
The paper introduces a no-Ansatz reconstruction method for Dark Energy scalar fields and assesses its stability and limitations using synthetic and real SNe Ia datasets.
Findings
Reconstruction is perfect with synthetic data but unreliable with real data.
Errors in potential and kinetic term reconstructions are large and often unphysical.
Current data precision limits the effectiveness of the model-independent approach.
Abstract
The current paper is addressing the possibility of the Dark Energy scalar field potential reconstruction from the SNe Ia data and the problems arising during the process. We describe the method and test its limits, stability of the reconstruction with respect to the and parameters, as well as several issues connected to the errors propagation, with use of synthetic data. After that, we test the method with real Union2.1 and JLA, as well as recent PANTHEON SNe Ia datasets. It worths mentioning that in our approach we assume no {\it Ans\"atzen} on the dynamical variables (e.g., ), which makes our method free of any degeneracies and biases which arise if one assume one or another way to parameterize , or the equation of state, or some other variable. On the other hand, the price we pay for this freedom is immense -- although the scheme demonstrates perfect…
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Taxonomy
TopicsGamma-ray bursts and supernovae · Cosmology and Gravitation Theories · Astronomy and Astrophysical Research
