The Pan-STARRS data-processing system is responsible for the steps needed to downloaded, archive, and process all images obtained by the Pan-STARRS telescopes, including real-time detection of transient sources such as supernovae and moving objects including potentially hazardous asteroids. With a nightly data volume of up to 4 TB and an archive of over 4 PB of raw imagery, Pan-STARRS is solidly in the realm of Big Data astronomy. The full data-processing system consists of several subsystems covering the wide range of necessary capabilities. This article describes the Image Processing Pipeline and its connections to both the summit data systems and the outward-facing systems downstream. The latter include the Moving Object Processing System (MOPS) and the public database: the Published Science Products Subsystem.

Pan-STARRS 数据处理系统负责下载、存档和处理 Pan-STARRS 望远镜获得的所有图像所需的步骤，包括实时检测瞬态源，如超新星和移动物体，包括具有潜在危险的小行星。凭借高达 4 TB 的夜间数据量和超过 4 PB 的原始图像存档，Pan-STARRS 在大数据天文学领域处于稳固地位。完整的数据处理系统由几个子系统组成，涵盖了广泛的必要功能。本文介绍了图像处理管道及其与顶峰数据系统和下游面向外系统的连接。后者包括移动对象处理系统 (MOPS) 和公共数据库：已发布的科学产品子系统。