This paper proposes a sonification for zCOSMOS, an astronomical dataset that contains information about 20,000 galaxies. The goals of such an initiative are multiple: providing a sound-based description of the dataset in order to make hidden features emerge, hybridizing science with art in a cross-domain framework, and treating scientific data as cultural heritage to be preserved and enhanced, thus breaking down the barriers between scientists and the general audience. In the paper, both technical and artistic aspects of the sonification will be addressed. Finally, some relevant excerpts from the resulting sonification will be presented and discussed.

A Sonification of the zCOSMOS Galaxy Dataset / S. Bardelli, C. Ferretti, L.A. Ludovico, G. Presti, M. Rinaldi (LECTURE NOTES IN ARTIFICIAL INTELLIGENCE). - In: Culture and Computing : Interactive Cultural Heritage and Arts / [a cura di] M. Rauterberg. - [s.l] : Springer, 2021. - ISBN 9783030774103. - pp. 171-188 (( Intervento presentato al 9. convegno Culture and Computing tenutosi a virtual nel 2021 [10.1007/978-3-030-77411-0_12].

A Sonification of the zCOSMOS Galaxy Dataset

L.A. Ludovico;G. Presti;
2021

Abstract

This paper proposes a sonification for zCOSMOS, an astronomical dataset that contains information about 20,000 galaxies. The goals of such an initiative are multiple: providing a sound-based description of the dataset in order to make hidden features emerge, hybridizing science with art in a cross-domain framework, and treating scientific data as cultural heritage to be preserved and enhanced, thus breaking down the barriers between scientists and the general audience. In the paper, both technical and artistic aspects of the sonification will be addressed. Finally, some relevant excerpts from the resulting sonification will be presented and discussed.
sonification; galaxies; astronomical data
Settore INF/01 - Informatica
Settore FIS/05 - Astronomia e Astrofisica
2021
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/856154
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