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中文摘要：
利用Union2557个Ia型超新星数据限制宇宙学参数q0、j0和s0，在红移z≤1．4范围内校准5个γ暴（gamma-ray burst，GRB）光度关系．假设γ暴光度关系不随红移演化，得到66个高红移吖暴的距离模数．最后综合利用宇宙微波背景（Cosmic Microwave Background，CMB）辐射观测数据、重子声波震荡（Baryon Acoustic Oscillations，BAO）观测数据与116个具有红移的γ暴数据限制几个常见的暗能量模型．根据贝叶斯判据（Bayesian Information Criterion，BIC），发现ACDM模型是最好的模型；根据Akaike判据（Akaike Information Criterion，AIC），发现JBP模型是最好的模型．
英文摘要：
We use the newly released Union2 SNe Ia dataset to constrain cosmographic parameters, namely deceleration, jerk and snap parameters （qo,Jo and So）, then calibrate five luminosity relations of gamma-ray bursts （GRBs） at redshift z ≤ 1.4. Supposing that the GRB luminosity relations do not evolve with redshift, we obtain the distance moduli of 66 high-redshift GRBs. At last, we combine the observation datasets including Cosmic Microwave Background, Baryon Acoustic Oscillations and 116 GRBs to constrain some widely-discussed dark energy models. We find the ACDM model is the best according to the Bayesian Information Criterion, and the JBP model is the best according to the Akaike Information Criterion.
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