Deep underwater neutrino telescopes as KM3NeT measure neutrino and environmental events that constitute “noise” for the neutrino searches. These environmental events range from biological bioluminescence to acoustic signals from sea mammals.
Citizens can support KM3NeTs scientists to increase the efficiency in the neutrino detection algorithms, providing input that will be crucial for two scientific tasks: the classification of noise types, and the identification of the frequency range and typical length of noise signals. The output of the citizen science activity will serve as a basis for training machine learning algorithms, which will automatically identify and classify the noise sources, thus monitoring the noise with an unprecedented detail. At the same time, citizens will have the opportunity to gain a greater insight of the unexplored deep marine environment.
In the framework of REINFORCE, time sequences of the optical counting rates on the KM3NeT “eyes” will be made available to the general public in order to monitor ambient bioluminescence, and citizens will be invited to classify in a systematic way the various types of waveforms observed. Furthermore, in order to involve in this activity also visually-impaired citizen scientists, the “ears” of the KM3NeT neutrino telescope will also be exploited by utilising the time sequences of the acoustical signals detected. Both sound and visual data for the bioluminescence and the acoustic signals will be produced.
The webinar aims to give an overview of the Deep Sea Hunters Large Scale Citizen Science demonstrator and how it will be implemented in order to engage citizens in the scientific research, showcasing the tasks that citizens will be asked to perform and how their input will be fundamental to explore the environment of the deep sea below 1000m depth in which humanity has little experience so far.