Forecast and analysis of the cosmological redshift drift
  The cosmological redshift drift could lead to the next step in high-precision
cosmic geometric observations, becoming a direct and irrefutable test for
cosmic acceleration. In order to test the viability and possible properties of
this effect, also called Sandage-Loeb (SL) test, we generate a model
independent mock data set so as to compare its constraining power with that of
the future mock data sets of Type Ia Supernovae (SNe) and Baryon Acoustic
Oscillations (BAO). The performance of those data sets is analyzed by testing
several cosmological models with the Markov chain Monte Carlo (MCMC) method,
both independently and combining all data sets. Final results show that, in
general, SL data sets allow for remarkable constraints on the matter density
parameter today $\Omega_m$ on every tested model, showing also a great
complementarity with SNe and BAO data regarding dark energy (DE) parameters.
