The KM3NeT infrastructure consists of two deep-sea neutrino telescopes being deployed in the Mediterranean Sea. The telescopes will detect extraterrestrial and atmospheric neutrinos by means of the incident photons induced by the passage of relativistic charged particles through the seawater as a consequence of a neutrino interaction. The telescopes are configured in a three-dimensional grid of digital optical modules, each hosting 31 photomultipliers. The photomultiplier signals produced by the incident Cherenkov photons are converted into digital information consisting of the integrated pulse duration and the time at which it surpasses a chosen threshold. The digitization is done by means of time to digital converters (TDCs) embedded in the field programmable gate array of the central logic board. Subsequently, a state machine formats the acquired data for its transmission to shore. We present the architecture and performance of the front-end firmware consisting of the TDCs and the state machine. © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
KM3NeT collaboration is constructing two large neutrino detectors in the Mediterranean Sea: KM3NeT/ARCA, located near Sicily and aiming at neutrino astronomy, and KM3NeT/ORCA, located near Toulon and designed for neutrino oscillation studies. The two detectors, together, will have hundreds of Detection Units (DUs) with 18 Digital Optical Modules (DOMs) maintained vertical by buoyancy, forming a large 3D optical array for detecting the Cherenkov light produced by particle produced in neutrino interactions. To properly reconstruct the direction of the incoming neutrino, the position of the DOMs must be known precisely with an accuracy of less than 10 cm, and since the DUs are affected by sea current the position will be measured every 10 minutes. For this purpose, there are acoustic and orientation sensors inside the DOMs. An Attitude Heading Reference System (AHRS) chip provides the components values of the Acceleration and Magnetic field in the DOM, from which it is possible to calculate Yaw, Pitch, and Roll for each floor of the line. A piezo sensor detects the signals from fixed acoustic emitters on the sea floor, so to position it by trilateration. Data from these sensors are used as an input to reconstruct the shape of the entire line based on a DU Line Fit mechanical model. This poster presents an overview of the KM3NeT monitoring system, as well as the line fit model and its results.
on behalf of the KM3NeT Collaboration
The KM3NeT/ORCA is a next-generation neutrino detector currently under construction in the Mediterranean Sea. There are currently 6 Detection Units deployed, and in the past year the detector has been steadily taking data. Here the first neutrino oscillation measurement is presented using data taken with the ORCA detector 6 Detection Units, containing 354.6 days of exposure. Selection criteria are discussed, followed by a neutrino oscillation analysis. In the analysis it is found that oscillations are preferred with a confidence level of 5.9 over "no oscillations". Likelihood scans of the Δ 2 31 and sin 2 23 parameter also show a strong exclusion of the no oscillation hypothesis. The sensitivity contour in (sin 2 23 , Δ 2 31 ) is presented, showing results that are approaching to being being competitive with other experiments [1].
Indirect dark matter searches with neutrinos from the Galactic Centre region with the ANTARES and KM3NeT telescopes Sara Rebecca Gozzini , * on behalf of the ANTARES and KM3NeT Collaborations
Abstract. The KM3NeT Collaboration is building a new generation of neutrino telescopes in the Mediterranean Sea. For these telescopes, a relational database is designed and implemented for several purposes, such as the centralised management of accounts, the storage of all documentation about components and the status of the detector and information about slow control and calibration data. It also contains information useful during the construction and the data acquisition phases. Highlights in the database schema, storage and management are discussed along with design choices that have impact on performances. In most cases, the database is not accessed directly by applications, but via a custom designed Web application server. OverviewThe KM3NeT Collaboration [1] is installing water-Cherenkov neutrino telescopes [2] in several sites in the Mediterranean Sea. First data are expected by the end of 2015. The detectors of the telescopes comprise many detection units, i.e. vertical lines supporting 18 regularly spaced digital optical modules; each optical module hosts 31 photomultipliers, monitoring instruments and piezo elements for acoustic positioning of the modules. The detectors are subdivided into detector building blocks each comprising 115 detection units with 64,170 photomultipliers in total. The complexity of tasks of the detector and the inherently multi-site nature of the challenge call for suitable data management tools. A relational database system [3] has been set up and is already providing operational functionality while it is still partially in development.Many tables and concepts in the design of the database are inherited from the database of ANTARES [4], but substantial evolution was needed scaling performances up to meet the KM3NeT needs. This work has already started a few years ago [5]. The foundation of the system is Oracle Database Server [6]. Reflecting the geographical distribution of the telescopes, a multi-master database network is in place: a cluster of 3 servers is hosted and managed by the CC-IN2P3 centre in Lyon; another database server is hosted at the University of Napoli (UNINA), under the management of the ReCaS consortium. Two web servers, also hosted at CC-IN2P3 and at UNINA/ReCaS, are used to provide access to the databases. Both servers have interchangeable links, i.e. each one can connect to either master database. a
KM3NeT is a multi-purpose cubic-kilometer neutrino observatory in construction in the Mediterranean Sea. It consists of ORCA and ARCA (for Oscillation and Astroparticle Research with Cosmics in the Abyss, respectively); currently both have a few detection lines in operation. Although having different primary goals, both detectors can be used to do neutrino astronomy over a wide energy range, from a few GeV to a few tens of PeV. In view of the growing field of time-domain astronomy, it is increasingly crucial to be able to identify neutrinos in real-time. This online neutrino sample will serve to trigger neutrino alerts that will be sent to the astronomy community and to look for time/space coincidence around external electromagnetic and multi-messenger triggers. These real-time searches can significantly increase the discovery potential of transient cosmic accelerators and refine the pointing directions in the case of poorly localized triggers, such as gravitational waves. In the field of core-collapse supernovae (CCSN), the detection of the MeVscale CCSN neutrinos is crucial as an early warning. KM3NeT's digital optical modules act as good detectors for these neutrinos. This proceeding presents the status of KM3NeT's real-time multi-messenger activities, including supernova monitoring, online event reconstruction, event classification and selection, alert distribution, and the first test of the selection on data.
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