Physicist Recreates The Sound Of Big Bang In High Frequency

A couple of years earlier, a young student’s project prompted the debate that whether or not the ‘sound’ of Big Bang can be somehow recreated. John Cramer, a University of Washington physicist was able to not only accomplish such a feat, he recently also created a high-frequency audio of what would’ve been the sound of Big Bang when it actually happened.

Big Bang

The only way for scientists to determine what would’ve been the sound of Big Bang was to study the universe itself and look for the dim microwave after-effects of the incident. These after-effects are still detectable, lingering in the universe. Naturally, since Big Bang occured 14 billion years ago, these microwave recordings were very low-frequency.

To make them audible to the human ear, Cramer filled in higher and fuller frequencies to the recorded microwave frequencies. The data was gathered through different sources, including satellite missions, weather balloons and such. Once sufficient data was gathered, it was processed by a computer program Mathematica which converted this data into sound effects.

Back in 2003, Cramer had sufficient data to reconstruct an audio representation of the Bang. However, more recent data gathered from other sources such as European Space Agency’s missions, has allowed for more finer recordings of cosmic microwaves. This, in turn, has allowed Cramer to construct a more accurate audio representation.

According to Cramer, the sound that apparently filled the universe when Big Bang happened was like that of a very loud bass instrument. Initially, it was terribly loud but then the wavelengths stretched farther away and while adapting an even more bass nature, it eventually dimmed down.

It is truly extra-ordinary that scientists were able to work for so many years and recreate a part of what happened billions of years ago, merely by scouring through the fossilized cosmic microwave remains in the universe.

Courtesy: Futurity

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Salman Latif is a software engineer with a specific interest in social media, big data and real-world solutions using the two.Other than that, he is a bit of a gypsy. He also writes in his own blog. You can find him on Google+ and Twitter .

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