We reformulate the gain correction problem of the radio interferometry as an optimization problem with regularization, which is solved efficiently with an iterative algorithm. Combining this new method with our previously proposed imaging method, PRIISM, the whole process of the self-calibration of radio interferometry is redefined as a single optimization problem with regularization. As a result, the gains are corrected, and an image is estimated. We tested the new approach with ALMA observation data and found it provides promising results.

翻译：我们将射电干涉测量中的增益校正问题重新表述为带正则化的优化问题，并通过迭代算法高效求解。将此新方法与我们先前提出的成像方法PRIISM相结合，射电干涉测量自校准的完整过程被重新定义为单一的正则化优化问题。由此，增益得到校正，同时图像得以估计。我们使用ALMA观测数据对该新方法进行了测试，发现其提供了具有前景的结果。