Model independent analysis of supernova data, dark energy, trans-Planckian censorship and the swampland

In this Letter, we consider the model-independent reconstruction of the expansion and growth functions from the Pantheon supernova data. The method relies on developing the expansion function in terms of shifted Chebyshev polynomials and determining the coefficients of the polynomials by a maximum-l...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Heisenberg, Lavinia (VerfasserIn) , Bartelmann, Matthias (VerfasserIn) , Brandenberger, Robert (VerfasserIn) , Refregier, Alexandre (VerfasserIn)
Dokumenttyp: Article (Journal)
Sprache:Englisch
Veröffentlicht: 2021
In: Physics letters
Year: 2021, Jahrgang: 812
ISSN:1873-2445
DOI:10.1016/j.physletb.2020.135990
Online-Zugang:Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1016/j.physletb.2020.135990
Verlag, lizenzpflichtig, Volltext: https://www.sciencedirect.com/science/article/pii/S0370269320307930
Volltext
Verfasserangaben:Lavinia Heisenberg, Matthias Bartelmann, Robert Brandenberger, Alexandre Refregier
Beschreibung
Zusammenfassung:In this Letter, we consider the model-independent reconstruction of the expansion and growth functions from the Pantheon supernova data. The method relies on developing the expansion function in terms of shifted Chebyshev polynomials and determining the coefficients of the polynomials by a maximum-likelihood fit to the data. Having obtained the expansion function in a model-independent way, we can then also determine the growth function without assuming a particular model. We then compare the results with the predictions of two classes of Dark Energy models, firstly a class of quintessence scalar field models consistent with the trans-Planckian censorship and swampland conjectures, and secondly a class of generalized Proca vector field models. We determine constraints on the parameters which appear in these models.
Beschreibung:Available online 11 December 2020
Gesehen am 23.02.2021
Beschreibung:Online Resource
ISSN:1873-2445
DOI:10.1016/j.physletb.2020.135990