In this work we perform an observational data analysis on the $f(R,T)$ gravity with the aim of constraining the parameter space of the model. Five different models are considered and the 30 point $z-H(z)$ cosmic chronometer data is used in our analysis. The ${\chi }^2$ statistic is formulated as a difference between the theoretical and the observed values of $H(z)$ for different values of redshift z. Efforts have been made to minimize the statistic in order to get the best fit values for the free parameters models. We have also used some standard distance measurement parameters like BAO and CMB peaks along with the data for achieving better constraints on the parameter space. We have used the publicly available CosmoMC code for obtaining the bounds for the free parameters of the models in different confidence intervals like 68%, 95%, 99%. 1D distributions and 2D joint confidence contours for various confidence levels mentioned above are generated for the free parameters using the CosmoMC code. Finally our models have been compared with the standard $\mathrm{\Lambda }CDM$ model by some statistical techniques using the observational data and the support for the models from the data is probed.

在这项工作中，我们对 $F（\mathrm{[R}，Ť）$目的在于限制模型的参数空间。考虑了五种不同的模型和30点$ž-H（ž）$在我们的分析中使用了宇宙天文台的数据。这${\chi }^{\mathrm{2个}}$ 统计量被公式化为理论值和观测值之间的差异 $H（ž）$对于redshift z的不同值。为了使自由参数模型获得最佳拟合值，已经进行了使统计量最小化的努力。我们还使用了一些标准的距离测量参数，例如BAO和CMB峰以及数据，以实现对参数空间的更好约束。我们使用了公开可用的CosmoMC代码来获得不同置信区间（例如68％，95％，99％）中模型的自由参数的界限。使用CosmoMC代码为自由参数生成上述各种置信度级别的1D分布和2D联合置信度轮廓。最后，我们的模型已与标准$\mathrm{\Lambda }Cd\mathrm{中号}$ 通过使用观察数据的一些统计技术对模型进行建模，并从数据中探究对模型的支持。