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arXiv 2203.09668astro-ph.IM
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Setigen:模拟SETI的无线电技术签名

Setigen: Simulating Radio Technosignatures for SETI

Bryan Brzycki, Andrew P. V. Siemion, Imke de Pater, Steve Croft, John Hoang, Cherry Ng, Danny C. Price, Sofia Z. Sheikh, Zihe Zheng

摘要:

搜寻地外文明(SETI)的目标是探测非人类的技术特征,例如无线电观测中的技术产生的发射。虽然许多人对这种技术特征进行了猜测,但无线电SETI从根本上涉及搜索不仅从未被探测到,而且具有广泛潜在形态的信号。鉴于我们还没有探测到SETI的无线电信号,我们必须对它们的形式做出假设,以开发搜索算法。缺乏阳性检测也使得难以测试这些算法的固有功效。为了解决这些挑战,我们提出了Setigen,这是一个基于Python的开源库,用于基于光谱的信号合成和光谱(动态光谱)和原始电压数据的注入。Setigen促进合成无线电观测的产生,与突破性收听项目(BL)广泛使用的标准数据产品接口,并专注于提供与真实观测数据和相关搜索方法兼容的物理驱动合成框架。我们讨论了Setigen的核心例程,并介绍了SETI搜索算法开发和评估中现有和未来的用例。

英文摘要:

The goal of the search for extraterrestrial intelligence (SETI) is the detection of non-human technosignatures, such as technology-produced emission in radio observations. While many have speculated about the character of such technosignatures, radio SETI fundamentally involves searching for signals that not only have never been detected, but also have a vast range of potential morphologies. Given that we have not yet detected a radio SETI signal, we must make assumptions about their form to develop search algorithms. The lack of positive detections also makes it difficult to test these algorithms' inherent efficacy. To address these challenges, we present Setigen, a Python-based, open-source library for heuristic-based signal synthesis and injection for both spectrograms (dynamic spectra) and raw voltage data. Setigen facilitates the production of synthetic radio observations, interfaces with standard data products used extensively by the Breakthrough Listen project (BL), and focuses on providing a physically-motivated synthesis framework compatible with real observational data and associated search methods. We discuss the core routines of Setigen and present existing and future use cases in the development and evaluation of SETI search algorithms.

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。

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