Tuning the Legacy Survey of Space and Time (LSST) Observing Strategy for Solar System Science
Tuning the Legacy Survey of Space and Time (LSST) Observing Strategy for Solar System Science
复制标题
DOI：
10.3847/1538-4365/acc173
复制
发表时间：
2023-06-01
影响因子：
8.7
通讯作者：
Ye, Quanzhi
中科院分区：
文献类型：
--
作者：
Schwamb, Megan E.;Jones, R. Lynne;Ye, Quanzhi
维拉C。鲁宾天文台预计将于2025年初至2025年中期启动时空遗产调查（LSST）。这一多波段广域天气调查将改变我们对太阳系的看法，发现和监测500多万个小天体。为LSST选择的最终调查策略对太阳系小行星和经过的星际物体的可观测性和特征有直接影响。创建太阳系的清单是LSST的四个主要科学驱动力之一。LSST观测节奏是一个复杂的优化问题，必须平衡所有关键LSST科学领域的优先级和需求。为了设计最佳的LSST调查策略，使用鲁宾天文台调度程序进行了一系列操作模拟，以探索调整观测参数和优先级的各种选项。我们探讨了各种模拟LSST观测策略对研究太阳系小天体水库的影响。我们研究什么是最好的观测方案，并审查什么是最大限度地提高LSST太阳系科学的重要考虑因素。一般来说，大多数LSST节奏模拟在我们选择的关键指标中产生+/- 5%或更少的变化，但模拟的一个子集显著阻碍了科学回报，在发现和光曲线指标中损失更大。
The Vera C. Rubin Observatory is expected to start the Legacy Survey of Space and Time (LSST) in early to mid-2025. This multiband wide-field synoptic survey will transform our view of the solar system, with the discovery and monitoring of over five million small bodies. The final survey strategy chosen for LSST has direct implications on the discoverability and characterization of solar system minor planets and passing interstellar objects. Creating an inventory of the solar system is one of the four main LSST science drivers. The LSST observing cadence is a complex optimization problem that must balance the priorities and needs of all the key LSST science areas. To design the best LSST survey strategy, a series of operation simulations using the Rubin Observatory scheduler have been generated to explore the various options for tuning observing parameters and prioritizations. We explore the impact of the various simulated LSST observing strategies on studying the solar system's small body reservoirs. We examine what are the best observing scenarios and review what are the important considerations for maximizing LSST solar system science. In general, most of the LSST cadence simulations produce +/- 5% or less variations in our chosen key metrics, but a subset of the simulations significantly hinder science returns with much larger losses in the discovery and light-curve metrics.