The Korean Physical Society 06130 22, Teheran-ro 7-gil, Gangnam-gu, Seoul, Republic of Korea 610 Representation : Suk Lyun HONG TEL: 02-556-4737 FAX: 02-554-1643 E-mail : webmaster@kps.or.kr Copyright(C) KPS, All rights reserved.
30 May 2022 to 4 June 2022
Virtual Seoul
Asia/Seoul timezone

KM3NeT/ARCA expectations for starburst galaxies observation

Not scheduled
5m
Virtual Seoul

Virtual Seoul

Poster Astrophysical neutrinos Poster

Speaker

Dr Walid Idrissi Ibnsalih (Università degli Studi della Campania)

Description

The KM3NeT/ARCA neutrino telescope will be fundamental to unveil the high-energy cosmic neutrino sources. In this contribution, we present the expectations of this detector for starburst galaxies observation, both as a diffuse signal and as point-like excess. To describe the diffuse flux, we make use of a recent theoretical model which implemented a “blending” of spectral indexes for high-energy Spectal energy distributions. For the point-like search, we consider the most promising starburst galaxies to be observed as point-like neutrino excesses, following a different theoretical modelling. In particular, we select the Small Magellanic Cloud and the Circinus Galaxy as most suitable candidates to be detected by ARCA. For the diffuse analysis, we provide the 5−year differential sensitivity for two ARCA building blocks, considering both track and shower events, in the range of 100 GeV - 10 PeV. For the point-like analysis, we provide the 6−year differential sensitivity for two ARCA building blocks, only considering track events in the range of 1 TeV - 10 PeV. We found that ARCA has the potential to constrain the selected phenomenological scenarios, showing the minimum of the sensitivity where the theoretical spectral energy distributions are expected to peak. This will provide compelling evidence of the link between starforming processes and hadronic emissions.

Collaboration KM3NeT

Primary author

Dr Walid Idrissi Ibnsalih (Università degli Studi della Campania)

Co-authors

Presentation materials