| Since the last century,the teams of S.Perlmutter and B.Schmidt found that our universe undergoing an acceleration expansion by discovering the type Ia supernovae(SNe Ia).This discovery fundamentally changed people’s knowledge of the universe that she is static and eternal.The dark energy was put forward to explain this phenomenon by lots of study.In order to study the properties of dark energy,scientists have built many dark energy models.Facing so many models,we want to know which one is right,or at least,which one can be favored by current observational data.Although the accumulation of the current observational data has opened a robust window for constraining the parameter space of dark energy models,the model filtration is still a difficult mission.Our main work is that we make a comparison for ten typical,popular dark energy models according to their capabilities of fitting the current observational data.Since the models have different numbers of parameters,in order to avoid this influence cased by the number of parameters,we employ the Akaike and Bayesian information criteria to assess the worth of the models letting the results more fair.In order to get more precise results,the current observational data we use in this work include the JLA sample of type Ia supernovae observation,the Planck 2015 distance priors of cosmic microwave background observation,the baryon acoustic oscillations measurements,and the direct measurement of the Hubble constant.By analyzing the results,we know that,according to the capability of observations,the cosmological constant models is still the best one among all the dark energy models.Other models such like the generalized Chaplygin gas model,the constant w model,and the a dark energy model are worse than the cosmological constant models,but still are good models compared to others.The holographic dark energy models the new agegraphic dark energy model,the Dvali-Gavadadze-Porrati model,and the Ricci dark energy model are excluded by the current observations. |