星际特征：一个用于开源星际跟踪的计算框架
The interstellar signature: A computational framework for open source interstellar tracking
AI总结：
星际特征是一个开源计算框架，通过网页平台实现星际天体的实时跟踪与可视化，旨在降低专业天文学研究的门槛，促进公众参与。
摘要：
星际天体如1I/'Oumuamua和2I/Borisov为了解其他恒星系统的形成和演化提供了独特的窗口，但它们的轨迹跟踪和分析仍然局限于专业研究机构。现有的星际和太阳系数据集庞大、复杂且难以导航，限制了开发人员、研究人员和爱好者对这些数据的访问。为此，我们提出了“星际特征”：一个用于开源星际跟踪的计算框架，通过基于网页的平台实现。星际特征桥接了原始天文学数据和直观、开发友好的界面。该框架整合了来自公共存储库和API的实时数据流以及基于物理的模拟方法，以实时建模和可视化星际和太阳系物体的运动。该平台支持交互式可视化、轨道比较分析和模块化工具，使用户能够探索和扩展系统用于研究、实验或开发。作为一个开源项目，该框架鼓励与复杂数据集的协作和动手参与。它存在于NexusCosmos生态系统中，该生态系统旨在成为“太空竞赛的Linux”，旨在民主化访问太空科学工具和数据。通过将大数据转换为视觉、交互式和可定制的模拟，星际特征扩大了参与星际研究和观测的机会。未来扩展将添加AI驱动的轨迹预测、异常检测和高级可视化。通过结合开源的可访问性和计算的严谨性，该框架降低了星际分析的门槛，并成为连接专业天文学和公众科学参与的一步。
英文摘要：
Interstellar objects such as 1I/'Oumuamua and 2I/Borisov offer a unique window into the formation and evolution of other star systems, yet the tracking and analysis of their trajectories remain limited to specialized research institutions. Existing interstellar and solar system datasets are large, complex, and difficult to navigate, reducing accessibility for developers, researchers, and enthusiasts. To address this, we present The Interstellar Signature: a computational framework for open-source interstellar tracking, implemented through a web-based platform. Interstellar Signature bridges raw astronomical data and an intuitive, developer-friendly interface. The framework integrates live data streams from public repositories and APIs with physics-based simulation methods to model and visualize the motion of interstellar and solar system objects in real time. The platform supports interactive visualizations, comparative orbital analysis, and modular tools that allow users to explore and extend the system for research, experimentation, or development. As an open-source project, the framework encourages collaboration and hands-on engagement with complex datasets. It exists within NexusCosmos, an ecosystem envisioned as a "Linux for the space race," aimed at democratizing access to space science tools and data. By transforming large datasets into visual, interactive, and customizable simulations, Interstellar Signature expands participation in interstellar research and observation. Future extensions will add AI-driven trajectory prediction, anomaly detection, and advanced visualization. By combining open-source accessibility with computational rigor, this framework lowers the barrier to interstellar analysis and serves as a step toward bridging professional astronomy and public scientific engagement.
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