SONIFICATION OF DARK MATTER: Challenges and Opportunities

نویسندگان

  • Núria Bonet
  • Alexis Kirke
  • Eduardo R. Miranda
چکیده

A method for the sonification of dark matter simulations is presented. The usefulness of creating sonifications to accompany and complement the silent visualisations of the simulation data is discussed. Due to the size and complexity of the data used, a novel method for analyzing and sonifying the data sets is presented. A case is made for the importance of aesthetical considerations, for example musical language used. As a result, the sonifications are also musifications; they have an artistic value beyond their information transmitting value. The work has produced a number of interesting conclusions which are discussed in an effort to propose an improved solution to complex sonifications. It has been found that the use primary and secondary data parameters and sound mappings is useful in the compositional process. Finally, the possibilities for public engagement in science and music through audiences’ exposure to sonification is discussed.

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تاریخ انتشار 2016