Sonification is the transformation of data into acoustic signals, achievable through different techniques. Sonification can be defined as a way to represent data values and relations as perceivable sounds, aiming at facilitating their communication and interpretation. Like data visualization provides meaning via images, sonification conveys meaning via sound. Sonification approaches are useful in a number of scenario. A first case is the possibility to receive information while keeping other sensory channels free, like in medical environment, in driving experience, etc. Another scenario addresses an easier recognition of patterns when data present high dimensionality and cardinality. Finally, sonification can be applied to presentation and dissemination initiatives, also with artistic goals. The zCOSMOS dataset contains detailed data about almost 20000 galaxies, describing the evolution of a relatively small portion of the universe in the last 10 million years in terms of galaxy mass, absolute luminosity, redshift, distance, age, and star formation rate. The present paper proposes a sonification for the mentioned dataset, with the following goals: i) providing a general description of the dataset, accessible via sound, which could also make unnoticed patterns emerge; ii) realizing an artistic but scientifically accurate sonic portrait of a portion of the universe, thus filling the gap between art and science in the context of scientific dissemination and so-called "edutainment"; iii) adding value to the dataset, since also scientific data and achievements must be considered as a cultural heritage that needs to be preserved and enhanced. Both scientific and technological aspects of the sonification are addressed.
翻译:将数据转换成声学信号,通过不同技术可以实现; 将数据转换为声学信号, 可将声学定义为一种将数据值和关系表述为可见声音的一种方式, 目的是促进它们的交流和解释; 像数据可视化通过图像提供意义一样, 声学传递意味着声音; 在许多场景中, 索化方法是有用的。 第一个例子是, 接收信息的可能性, 同时保持其他感官渠道, 如医学环境、 驾驶经验等。 另一个场景涉及当数据具有高度的维度和基本性时对模式的更容易认识。 最后, 声学可以用于展示和传播倡议, 也具有艺术目的。 zCOSOMS数据集包含近20000个星系的详细数据, 描述着宇宙近1 000万年中相对小部分的演变, 以星系质量、 绝对光度、 调整、 距离、 年龄 和 恒星形成率 率 。 本文提出了上述数据集的代名词, 其目标如下: (i) 提供数据集的一般描述, 可通过声音获取, 也能够引起注意的形态模式出现差距; (ii) 实现科学、 和科学精确的科学数据传播需要, 。