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

• Verfasst von: Heisenberg, Lavinia [VerfasserIn]
• Verfasst von: Bartelmann, Matthias [VerfasserIn]
• Verfasst von: Brandenberger, Robert [VerfasserIn]
• Verfasst von: Refregier, Alexandre [VerfasserIn]
• Titel: Model independent analysis of supernova data, dark energy, trans-Planckian censorship and the swampland
• Verf.angabe: Lavinia Heisenberg, Matthias Bartelmann, Robert Brandenberger, Alexandre Refregier
• Jahr: 2021
• Fussnoten: Available online 11 December 2020 ; Gesehen am 23.02.2021
• Titel Quelle: Enthalten in: Physics letters / B
• Ort Quelle: Amsterdam : North-Holland Publ., 1967
• Jahr Quelle: 2021
• Band/Heft Quelle: 812(2021) Artikel-Nummer 135990, 9 Seiten
• ISSN Quelle: 1873-2445
• DOI: doi:10.1016/j.physletb.2020.135990
• Datenträger: Online-Ressource
• Sprache: eng
• K10plus-PPN: 1749214814

Abstract

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.