Inspecting spectra with sound: proof-of-concept and extension to datacubes
Inspecting spectra with sound: proof-of-concept and extension to datacubes
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用声音检查光谱：概念验证和数据立方体的扩展
DOI：
10.1093/rasti/rzad021
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发表时间：
2023
期刊：
影响因子：
--
通讯作者：
Trayford J
中科院分区：
文献类型：
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作者：
Trayford J
我们提出了一种新的方法来检查星系光谱使用声音，通过他们的直接音频表示（“频谱听觉”）。我们讨论的潜力，这是一个补充（或替身）的视觉方法。我们调查了58名受访者，他们仅使用音频表示来评估30个具有强发射线的光学星系光谱。在三个测试中，每个测试都集中在从光谱测量的不同数量（信噪比，发射线宽度和通量比），我们发现用户评级与测量的数量有很好的相关性。这表明，物理信息可以独立地从听力到光谱听力收集。我们注意到在对这些发音进行评级时上下文的重要性，听到的顺序示例可以影响反应。最后，我们适应在这个有前途的试点研究光谱数据管中使用的方法。我们建议，audification允许有效的探索复杂的，空间分辨的光谱数据。
We present a novel approach to inspecting galaxy spectra using sound, via their direct audio representation (‘spectral audification’). We discuss the potential of this as a complement to (or stand-in for) visual approaches. We surveyed 58 respondents who use the audio representation alone to rate 30 optical galaxy spectra with strong emission lines. Across three tests, each focusing on different quantities measured from the spectra (signal-to-noise ratio, emission-line width, and flux ratios), we find that user ratings are well correlated with measured quantities. This demonstrates that physical information can be independently gleaned fromlisteningto spectral audifications. We note the importance of context when rating these sonifications, where the order examples are heard can influence responses. Finally, we adapt the method used in this promising pilot study to spectral datacubes. We suggest that audification allows efficient exploration of complex, spatially resolved spectral data.