Convert data to music - maybe or not?

Often, scientists need to figure out how to visualize their data, to make it as clear as possible. Peter Larsen, a scientist at the Argonne National Laboratory, chose another way: He transformed all his data into musical melodies. More specifically, all the information in the study involved ... his microbe was encoded into extremely vivid songs.

The main melody of the song will display information related to an element line, while each subordinate chorus will be responsible for each line of the element. Each instrument has the task of demonstrating individual experimental results, and a complete whole is made up of all the observations in the experiment.

Picture 1 of Convert data to music - maybe or not?

Typically, the data is designed with a limit of 12 (one and a half eight) for notes, and six for chords. The data will be analyzed based on the notes, at the same time, the notes have also been rectified to fit the general sound of the song. Thus, a set of data can produce a variety of tunes, depending on how it is placed in the chord, "Larsen said.

This combination seems to have no limits. With so many choices in hand, you can optionally combine two of the eight chords, six notes in 1.5 octaves, 12 pitches and 3 percussion styles. This means that you have ... .6.88 X 10 ^ 109 different combinations, a number even greater than the number of stars in the universe.

Different instruments, different streams of data are interwoven in a natural way, and these pieces seem to carry a lot of jazz. But scientists do not limit themselves to 'easy listening' levels . The structure, function, and relationship between micro-organisms require more complex melodies. "These are not random sounds," Larsen said, "which reflect the true phenomena.

This is not the first time that scientists have been trying to turn data into music, but previous efforts have failed to demonstrate basic musical rules such as melodies, rhythms, and beats. Larsen asserted that this research would be a wonderful surprise.

References: Gizmag