时间序列立方体数据模型
Time Series Cube Data Model
摘要：
本文档的目的是创建一个数据模型及其序列化，用于表达通用时间序列数据。尽可能重复使用现有IVOA数据模型。该模型也尽可能通用，以开放新的扩展，但同时关闭修改。这使得能够在数据模型的不同版本中保持互操作性。我们为元数据发现、时间序列数据的序列化以及客户端对其的理解定义了必要的构建块。我们提出了几个类别的时间序列科学的情况下，实施的例子。我们还考虑了时间序列提供商最紧迫的主题，例如跟踪光变曲线每个点的原始图像或时间衍生轴，如引力波分析的频率。创建新模型的主要动机是提供统一的时间序列数据发布标准-不仅适用于光变曲线，还适用于更通用的时间序列数据，例如，径向速度曲线、功率谱、硬度比、出处链接等。灵活性是我们模型中最关键的部分-我们不依赖于任何物理域或框架模型。虽然图像或光谱已经是稳定和标准化的产品，但与时间序列相关的领域仍然没有完全发展，新的领域可能会在不久的将来出现。这就是为什么我们需要保持像Time Series Cube DM这样的模型独立于任何底层物理模型的原因。我们认为，这是IVOA标准未来发展的唯一正确和可持续的方式。
英文摘要：
The purpose of this document is to create a data model and its serialization for expressing generic time series data. Already existing IVOA data models are reused as much as possible. The model is also made as generic as possible to be open to new extensions but at the same time closed for modifications. This enables maintaining interoperability throughout different versions of the data model. We define the necessary building blocks for metadata discovery, serialization of time series data and understanding it by clients. We present several categories of time series science cases with examples of implementation. We also take into account the most pressing topics for time series providers like tracking original images for every individual point of a light curve or time-derived axes like frequency for gravitational wave analysis. The main motivation for the creation of a new model is to provide a unified time series data publishing standard - not only for light curves but also more generic time series data, e.g., radial velocity curves, power spectra, hardness ratio, provenance linkage, etc. The flexibility is the most crucial part of our model - we are not dependent on any physical domain or frame models. While images or spectra are already stable and standardized products, the time series related domains are still not completely evolved and new ones will likely emerge in near future. That is why we need to keep models like Time Series Cube DM independent of any underlying physical models. In our opinion, this is the only correct and sustainable way for future development of IVOA standards.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
