English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

KM3NeT is a distributed neutrino research infrastructure in  the Mediterranean Sea. KM3NeT/ARCA is a high-energy neutrino  telescope, dedicated to the search for extraterrestrial neutrino  sources in the TeV-PeV range.  One major goal is the identification of the sources of the neutrino flux recently discovered by IceCube.  Furthermore, KM3NeT/ARCA is optimised to study Galactic neutrino point sources.  The analysis of the flavour composition of astrophysical neutrinos  arriving at Earth can shed light on the production mechanisms of  these neutrinos inside their astrophysical sources. The distinction  between different neutrino flavours is only possible on a  statistical basis and a method called ``spectral fitting'' is  employed to this end. In order to estimate the sensitivity of  KM3NeT/ARCA to the flavour composition using this method, spectra  obtained from Monte-Carlo-based pseudo-data samples are compared to  expectations from neutrino flux models for signal and background.  To increase the power of the spectral fitting procedure, the event  sample is separated into multiple subsamples according to their  event type. Therefore, an artificial neural network is used to  discriminate between five target types: double bang events, cascades  and three different track-like event types.

Sensitivity of KM3NeT/ARCA to the neutrino flavour composition