All Outputs (3)

Differential Sensitivity of the KM3NeT/ARCA detector to a diffuse neutrino flux and to point-like source emission: Exploring the case of the Starburst Galaxies (2024)
Journal Article
Aiello, S., Albert, A., Alshamsi, M., Garre, S. A., Aly, Z., Ambrosone, A., …Zywucka, N. (2024). Differential Sensitivity of the KM3NeT/ARCA detector to a diffuse neutrino flux and to point-like source emission: Exploring the case of the Starburst Galaxies. Astroparticle Physics, 162, Article 102990. https://doi.org/10.1016/j.astropartphys.2024.102990

KM3NeT/ARCA is a Cherenkov neutrino telescope under construction in the Mediterranean sea, optimised for the detection of astrophysical neutrinos with energies above ∼1 TeV. In this work, using Monte Carlo simulations including all-flavour neutrinos,... Read More about Differential Sensitivity of the KM3NeT/ARCA detector to a diffuse neutrino flux and to point-like source emission: Exploring the case of the Starburst Galaxies.

Searches for neutrino counterparts of gravitational waves from the LIGO/Virgo third observing run with KM3NeT (2024)
Journal Article
Aiello, S., Albert, A., Alves Garre, S., Aly, Z., Ambrosone, A., Ameli, F., …Zywucka, N. (2024). Searches for neutrino counterparts of gravitational waves from the LIGO/Virgo third observing run with KM3NeT. Journal of cosmology and astroparticle physics, 2024(4), Article 26. https://doi.org/10.1088/1475-7516/2024/04/026

The KM3NeT neutrino telescope is currently being deployed at two different sites in the Mediterranean Sea. First searches for astrophysical neutrinos have been performed using data taken with the partial detector configuration already in operation. T... Read More about Searches for neutrino counterparts of gravitational waves from the LIGO/Virgo third observing run with KM3NeT.

Predicting the ages of galaxies with an artificial neural network (2024)
Journal Article
Hunt, L. J., Pimbblet, K. A., & Benoit, D. M. (2024). Predicting the ages of galaxies with an artificial neural network. Monthly notices of the Royal Astronomical Society, 529(1), 479-498. https://doi.org/10.1093/mnras/stae479

We present a new method of predicting the ages of galaxies using a machine learning (ML) algorithm with the goal of providing an alternative to traditional methods. We aim to match the ability of traditional models to predict the ages of galaxies by... Read More about Predicting the ages of galaxies with an artificial neural network.