CAJ | 학술논문

利用熟知的2种有效的积分算法---龙贝积分算法和复合高斯积分算法，用来在 Chevallier-Polarski-Linder (CPL)参数化模型里计算光度距离dCPLL 。通过对比2种算法的效率和精度，我们认为第2种算法更有前景。另外，还在扁平的ΛCDM宇宙模型里，开发了能够逼近dΛL 的另外一种策略。在一定程度上，我们的方法有助于在近期的暗能量宇宙学研究中，所涉及的数值模拟工作。
이용숙지적2충유효적적분산법---룡패적분산법화복합고사적분산법，용래재 Chevallier-Polarski-Linder (CPL)삼수화모형리계산광도거리dCPLL 。통과대비2충산법적효솔화정도，아문인위제2충산법경유전경。령외，환재편평적ΛCDM우주모형리，개발료능구핍근dΛL 적령외일충책략。재일정정도상，아문적방법유조우재근기적암능량우주학연구중，소섭급적수치모의공작。
In a previous work,we proposed two methods computing luminosity distance dΛL inΛCDM model.In this paper, two effective algorithms, known as Romberg Integration and composite Gaussian Quadrature,are presented to calculate luminosity distance dCPLL in Chevallier-Polarski-Linder parametrization (CPL)model.A comparison of both efficiency and accuracy of the two algorithms reveals that the second is more promising.We develop another strategy adapted for approximating dΛL in flat ΛCDM universe.Our methods can make contributions to recent numerical stimulation for investigation of dark energy cosmology.