With the will of vulgarize science and the desire of help universe exploration, our project takes place between art and science. Using the sound emitted by the sun we have created a music and a "responding to the song" visualisation that brings the spectators inside the star, in order to make him feel this latest and be puzzled by it. Besides, using only the fundamental frequency of the sun sing, the visualisation is very clear and can lead to compare it with other stars.

This project is solving the Can You Hear Me Now? Space-y Sounds challenge.


Our project has both an artistic and a scientific purpose. The multimedia experience offered by our sound visualisation aims to puzzle spectators and to immerse them into the sun internal activity. Proposing this experience in an exposition would be very fun ! In a more scientific purpose, classifying stars depending of their sing - which is different for each one - could be very interesting because the sound is the only way to know what happend inside a star. We can also know the mass, the age or the density thanks to the sound emitted by it. This discovery, which is very recent, had led to create two knew branches of physics, the heliosismography and the asterosismography. Having a very clear visual representation of the sound emitted by different stars could help to classify them and analyse them.

The interest of having both an artistic and a scientific purpose is, on the one and, to bring a new kind of inspiration for scientists who often have to work on raw datas and, on the other hand, to allow public to contribute to the work of scientists by sorting themselves stars with easy-to-use visualisation of datas. We could for instance create a website on which general public would have access to fundamental frequencies of some stars and could see their visual representation. Then, they could sort them depending on differences and similarities between what they see.

The experience lived in a more artistic exposition could lead general public to be interested in this project of contribution.fa

Project Information

License: MIT license (MIT)

Source Code/Project URL:



  • Thomas Marchal
  • Sullivan David
  • Flavien CHERVET