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I AM heading under the sea to help physicists find traces of one of the universe鈥檚 most mysterious particles. You can join me by participating in the , which is looking for volunteers to remove noise from data collected by the (KM3NeT) at the bottom of the Mediterranean Sea.

Neutrinos are tiny, invisible elementary particles that are extremely elusive and difficult to observe under normal conditions. But when neutrinos interact with matter, the resulting charged particles that are produced emit shock waves of bluish light known as Cherenkov radiation, which KM3NeT can detect. Because it is located deep under the sea, the telescope is shielded from other light emissions, such as from the sun or moon above, as well as from cosmic radiation.

Since the sea is also teeming with life, researchers analysing data from the telescope must filter out background sounds and light in the water in order to home in on real neutrino observations. In particular, sounds produced by marine mammals can interfere with the telescope鈥檚 acoustic triangulation system, while bioluminescence in the deep sea can mix with the Cherenkov radiation that the telescope is designed to detect.

You can help distinguish the signal from the noise by browsing observations from the telescope online and classifying background sounds, such as whale clicks, as well interfering light from bioluminescent life. There is a tutorial explaining how to classify them on the project鈥檚 website.

Thousands of people have participated in the Deep Sea Explorers effort since it launched in 2019. In addition to helping physicists pinpoint true neutrino observations, the classifications made by volunteers online are contributing to deep-sea marine biology research.

鈥淭his is not just about the universe, it鈥檚 about the beautiful world we have at the bottom of our sea,鈥� says at the Catholic University of Louvain in Belgium, one of the .

As a neutrino astronomer, she hopes to use the information gleaned from the project to help in her search for low-energy neutrinos coming from the sun, as well as from astronomical events such as supernovae. The classifications from volunteers are already helping to train artificial intelligence to quickly filter out true neutrino signals from background noise.

That very same background noise provides data for marine biologists, who are using the information on sound and light produced by organisms under the sea to learn more about deep-sea ecosystems and whale behaviour. 鈥淚 like to say that the noise of someone is the signal of someone else,鈥� says Wilberts De Wasseige.

Layal Liverpool is a science journalist based in Berlin. She believes everyone can be a scientist, including you. @layallivs

For other projects visit newscientist.com/maker.