In this work, we explore the cosmological consequences of the latest Type Ia supernova (SN Ia) dataset, Pantheon, by adopting the wCDM model. The Pantheon dataset currently contains the largest number of SN Ia samples, which contains 1048 supernovae on the redshift range 0 < z < 2.3. Here we take into account three kinds of SN Ia statistics techniques, including: (1) magnitude statistics (MS), which is the traditional SN Ia statistics technique; (2) flux statistics (FS), which is based on the flux-averaging (FA) method; and (3) improved flux statistics (IFS), which combines the advantages of MS and FS. It should be mentioned that the IFS technique needs to scan the (z _cut, Δz) parameters plane, where z _cut and Δz are redshift cut-off and redshift interval of FA, respectively. The results are as follows. (1) Using the SN dataset only, the best FA recipe for IFS is (z _cut, Δz) = (0.1, 0.08); (2) comparing to the old SN dataset, JLA, adopting the Pantheon dataset can reduce the 2σ error bars of equation of state w by 38%, 47% and 53% for MS, FS and IFS, respectively; (3) FS gives closer results to other observations, such as Baryon acoustic oscillations and cosmic microwave background; (4) compared with FS and IFS, MS more favors a Universe that will end in a ‘big rip’.

在这项工作中，我们通过采用wCDM模型，探索了最新的Ia类超新星（SN Ia）数据集万神殿的宇宙学后果。Pantheon数据集目前包含最多的SN Ia样本，其中在红移范围0 < z <2.3上包含1048个超新星。这里我们考虑了三种SN Ia统计技术，包括：（1）幅度统计（MS），它是传统的SN Ia统计技术；（2）磁通量统计（FS），其基于磁通量平均（FA）方法；（3）改进的通量统计（IFS），结合了MS和FS的优势。应当提及的是，IFS技术需要扫描的（Ž _切口，Δ Ž）参数平面，其中ž _切和Δ ž是FA的红移截止和红移间隔分别。结果如下。（1）只使用SN数据集，最好FA配方IFS是（Ž _切，Δ Ž）=（0.1，0.08）; （2）与旧的SN数据集JLA相比，采用Pantheon数据集可将MS，FS和IFS的状态方程w的2σ误差线分别降低38％，47％和53％；（3）FS与其他观测结果（例如重子声振荡和宇宙微波背景）的结果更为接近；（4）与FS和IFS相比，MS更偏爱以“大麻烦”结尾的宇宙。