On 27 July 2020, the ORCA detector of KM3NeT reached a milestone: its first 6 strings were continuously taking data since 6 months. With two musical productions of the amazing talents in the KM3NeT Collaboration, the milestone was celebrated.
Enjoy ‘6 strings, 6 months’, the song of the Route 66 of KM3NeT and an instrumental piece on 6 pianos by 6 players.
Both productions were recorded in corona times – at large distances between the performers.
13 July 2020 – The KM3NeT Collaboration has published the details of gSeaGen, a simulation software package for efficient generation of neutrino events for the analysis of measured light signals in the KM3NeT telescopes. Monte Carlo simulations play an important role in the data analysis of neutrino telescopes. They are used to design reconstruction algorithms for neutrino events and to estimate cosmic and atmospheric signals in various physics analyses.
The new gSeaGen software tool is based on code of the GENIE Collaboration which aims at developing a global software platform for the Monte Carlo simulation of neutrino interactions with energies up to PeV scales. Currently, the GENIE simulation code focuses mainly on events in the low-energy range (≤5 GeV) and is valid up to 5 TeV.
As described in the paper, the gSeaGen tool allows for the generation of electron, muon and tau neutrino. Its application for the KM3NeT telescopes is described in detail.
KM3NeT Collaboration, S. Aiello, et al., Computer Physics Communications 256 (2020) 107477
17 June 2020 – The KM3NeT Collaboration has published a new paper about the control unit of the data acquisition system. The data acquisition control software of KM3NeT is operating both the off-shore detectors in the deep sea and in the lab the testing and qualification stations for detector components. The software, named Control Unit, is highly modular. It can undergo upgrades and reconfiguration with the acquisition running. Interplay with the central database of the Collaboration is obtained in a way that allows for data taking even if Internet links fail. In order to simplify the management of computing resources in the long term, and to cope with possible hardware failures of one or more computers, the KM3NeT Control Unit software features a custom dynamic resource provisioning and failover technology, which is especially important for ensuring continuity in case of rare transient events in multi-messenger astronomy. The software architecture relies on ubiquitous tools and broadly adopted technologies and has been successfully tested on several operating systems.
8 June 2020 – Like so many other meetings, also the Spring Collaboration meeting of KM3NeT went online during corona times. A week full of discussions started today. An online concert and quiz are planned. Of course the traditional group photo has already been made.
05 February 2020 – The ORCA6 detector of KM3NeT is taking data since 27 January 2020 on a 24/7 scheme. Physicists are ‘on-shift’ to remotely or on-site operate the detector in the deep sea. The recorded data is stored in the computer centres of the KM3NeT Collaboration for further analysis.
The first step is to reconstruct from the recorded light flashes the path of charged particles through the ORCA6 detector. Most of them are muon particles generated in the Earth’s atmosphere and travelling through the detector from above. We showed already an example in the news item of 27 January.
In the video below we show a series of five charged particles entering the detector from below or from the side. This is an indication that they have been created in an interaction of a neutrino with the matter surrounding the detector.
In the picture below, you see the plots that KM3NeT physicists like: six plots showing for each of the six detection units in ORCA6 the optical sensors that – in the pitch dark deep sea – are ‘hit’ by faint light. Each time a sensor is hit, the position of that sensor in the sea and the time it was hit is recorded. The plots show on the y-axis the height of the sensors in the detector and on the x-axis the time. The red circles and the red line show how the light cone generated by a charged particle from below has crossed the detector. As function of time (in nanoseconds), the position of the next hit sensor is higher in the detector, indicating that the particle is travelling upwards. The blue circles are background hits.