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-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.
