We develop a novel technique to exploit the extensive data sets provided by underwater neutrino telescopes to gain information on bioluminescence in the deep sea. The passive nature of the telescopes gives us the unique opportunity to infer information on bioluminescent organisms without actively interfering with them. We propose a statistical method that allows us to reconstruct the light emission of individual organisms, as well as their location and movement. A mathematical model is built to describe the measurement process of underwater neutrino telescopes and the signal generation of the biological organisms. The Metric Gaussian Variational Inference algorithm is used to reconstruct the model parameters using photon counts recorded by photomultiplier tubes. We apply this method to synthetic data sets and data collected by the ANTARES neutrino telescope. The telescope is located 40 km off the French coast and fixed to the sea floor at a depth of 2475 m. The runs with synthetic data reveal that we can model the emitted bioluminescent flashes of the organisms. Furthermore, we find that the spatial resolution of the localization of light sources highly depends on the configuration of the telescope. Precise measurements of the efficiencies of the detectors and the attenuation length of the water are crucial to reconstruct the light emission. Finally, the application to ANTARES data reveals the first localizations of bioluminescent organisms using neutrino telescope data.

Reeb N., Hutschenreuter S., Zehetner P., Ensslin T., Albert A., Alves S., et al. (2023). Studying bioluminescence flashes with the ANTARES deep-sea neutrino telescope. LIMNOLOGY AND OCEANOGRAPHY: METHODS, 21(11), 734-760 [10.1002/lom3.10578].

Studying bioluminescence flashes with the ANTARES deep-sea neutrino telescope

Filippini F.;Illuminati G.;Levi G.;Margiotta A.;Spurio M.;Versari F.;
2023

Abstract

We develop a novel technique to exploit the extensive data sets provided by underwater neutrino telescopes to gain information on bioluminescence in the deep sea. The passive nature of the telescopes gives us the unique opportunity to infer information on bioluminescent organisms without actively interfering with them. We propose a statistical method that allows us to reconstruct the light emission of individual organisms, as well as their location and movement. A mathematical model is built to describe the measurement process of underwater neutrino telescopes and the signal generation of the biological organisms. The Metric Gaussian Variational Inference algorithm is used to reconstruct the model parameters using photon counts recorded by photomultiplier tubes. We apply this method to synthetic data sets and data collected by the ANTARES neutrino telescope. The telescope is located 40 km off the French coast and fixed to the sea floor at a depth of 2475 m. The runs with synthetic data reveal that we can model the emitted bioluminescent flashes of the organisms. Furthermore, we find that the spatial resolution of the localization of light sources highly depends on the configuration of the telescope. Precise measurements of the efficiencies of the detectors and the attenuation length of the water are crucial to reconstruct the light emission. Finally, the application to ANTARES data reveals the first localizations of bioluminescent organisms using neutrino telescope data.
2023
Reeb N., Hutschenreuter S., Zehetner P., Ensslin T., Albert A., Alves S., et al. (2023). Studying bioluminescence flashes with the ANTARES deep-sea neutrino telescope. LIMNOLOGY AND OCEANOGRAPHY: METHODS, 21(11), 734-760 [10.1002/lom3.10578].
Reeb N.; Hutschenreuter S.; Zehetner P.; Ensslin T.; Albert A.; Alves S.; Andre M.; Anghinolfi M.; Anton G.; Ardid M.; Aubert J.-J.; Aublin J.; Baret ...espandi
File in questo prodotto:
File Dimensione Formato  
LimOcean_AN_biolumin_23.pdf

accesso aperto

Tipo: Versione (PDF) editoriale
Licenza: Licenza per Accesso Aperto. Creative Commons Attribuzione - Non commerciale - Non opere derivate (CCBYNCND)
Dimensione 2.26 MB
Formato Adobe PDF
2.26 MB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/958584
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 2
  • ???jsp.display-item.citation.isi??? 1
social impact