If aliens sent us a message, what would it look like?

Humanity has been trying to contact extraterrestrial civilizations for almost 50 years. Even longer than she listens to space in the hope of picking up a message from somewhere else. But it is very difficult to hear what we are not aware of even in the form. Today, researchers are working on algorithms that could expand our knowledge in this area.

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[EN VIDÉO] How aliens discovered our existence
Researchers from Cornell University (USA) and the American Museum of Natural History claim that many extraterrestrial civilizations – if they exist – have already discovered the existence of our Earth. Just applying the transit method. Like we do ourselves to wash away exoplanets. (in English) © Cornell University

At the very beginning of the 19thand century, physicist The German Carl Friedrich Gauss suggested that we might be discovered intelligent extraterrestrial civilizations by tracking reinforcement from corn, mathematical patterns on a site cleared for this in a Siberian forest. A little later, Percival Lowell,astronomer An American amateur offered to set fire to the canals filled with butter in Sahara Desert. Today researchers I wonder what ideas the aliens might have on their side. To make ourselves visible to our eyes of people.

International team led by UC Berkeley and Network Institute (USA) has developed a new machine learning tool designed to simulate what a message from intelligence extraterrestrial. The tool called Setigen and which is a library open source likely to be a game changer in future searches for extraterrestrial intelligence.

Recall that in caseEarth scientists first looked for signals radio the origin of which is clearly artificial. That was the goal ozma project staged in 1960 by famed Cornell Frank Drake. Research then focused on frequency at which hydrogen emits radiation into interstellar space: 1.42 gigahertz (GHz). BUT episode a very widespread natural material, presumably known to any potentially intelligent extraterrestrial civilization that would use it to maximize the chances of its message being heard. But nothing.

It is difficult to imagine a technological activity different from ours.

So the search has expanded. To other frequency ranges – to several gigahertz ranges – to other regions of the sky and even to other types of signals. And still nothing. All this comes up against a serious obstacle: the fact that humanity has never yet registered an extraterrestrial signal. A signal on which we could base our experiment. And it would better guide the researchers.

Algorithms basedmachine learning began to be used to distinguish possible extraterrestrial transmissions from background noise. Most famous serves the program BreakthroughListen. It aims to identify continuous signals such as those that are simple and inexpensive to energy produce on earth. So always look for signs of technological activity as we know it.

It is to overcome this difficulty that the researchers have developed a library designed to be updated regularly, in particular in line with the advances made possible by integration into the search for ever more advanced intelligent extraterrestrial civilizations. This library should facilitate the production of synthetic extraterrestrial signals. They can then be used as such or added to observational data. Enough to create large datasets of synthetic signals for sensitivity analysis of existing algorithms or as a basis for machine learning. And develop new research methods. The ultimate goal is to successfully establish parameters that can disprove the assumptions made by researchers about what an extraterrestrial message might look like.

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