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arXiv 2402.00952astro-ph.IM
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天文图像声化:包容还是科普推广?

Astronomical images sonification: inclusion or outreach?

Johanna Casado, Beatriz García

AI总结:

本研究针对天文图像声化领域参数共识缺失、科研应用定位模糊的问题,梳理现有工具的目标定位,提出延续sonoUno科研导向的新方案,以推动功能多样人群参与科研。

摘要:

声化(利用非语音音频开展数据分析)领域在空间科学中已较为成熟。“可听宇宙(The audible Universe)”等会议聚焦于天文学中应用的声化工具,这类工具用于呈现星云、星系等复杂数据。此外,关于将图像转换为声音的研究探讨较少,这一挑战旨在通过一维技术表征二维或三维数据。上述情况导致学界在应使用的声音参数以及人们如何解读这些参数方面完全缺乏共识。本工作旨在深入探究现有的图像声化工具,分析其目标是否仅为科普推广,还是包含科研应用的可能性。本文提出了一项新方案,延续sonoUno软件以科研为核心的定位,指出需要可靠的技术,让具备功能多样性的人群在研究中发挥积极作用。

英文摘要:

The field of sonification, using of non-speech audio for data analysis, is already established in space sciences. Meetings like "The audible Universe" focus on sonification tools applied in astronomy to represent complex data like nebulae and galaxies. Besides, little is said about the translation of images into sound, this challenge that seeks to represent data in 2 or 3 dimensions through a one-dimensional technique. The aforementioned leads to a total lack of consensus regarding the sound parameters to be used and how these are interpreted by people. This work seeks to delve deeper into the existing tools for image sonification, analyzing whether their objective is only outreach or includes the possibility of research. A new proposal is presented, maintaining sonoUno's software focus on research, pointing out the need for reliable techniques that integrate functional diversity people with an active role on research.

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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