The HOU Reconstruction & Simulation (HOURS) software package has been developed in order to study in detail the response of very large (km
3-scale) underwater neutrino telescopes. HOURS comprises a ...realistic simulation package of the detector response, including an accurate description of all the relevant physical processes, the production of signal and background as well as several analysis strategies for triggering and pattern recognition, event reconstruction, tracking and energy estimation. Furthermore, this package provides the tools for simulating calibration techniques as well as other studies to estimate the detector sensitivity to several neutrino sources. In this work we report on the structure and performance of the HOURS package.
NESTOR: a deep-sea neutrino telescope Tzamarias, S.E.
Nuclear instruments & methods in physics research. Section A, Accelerators, spectrometers, detectors and associated equipment,
04/2003, Letnik:
502, Številka:
1
Journal Article
Recenzirano
NESTOR is a deep-sea water Cherenkov neutrino detector now under construction for deployment in the Mediterranean sea, at a depth of 4000m,14km off the South West coast of Greece. This site provides ...excellent water transparency, shielding against the atmospheric muons, proximity to the shore, flat and wide sea bottom and stable geological and other environmental characteristics. The present status of the experiment and the future program are described.
The Hellenic Open University Cosmic Ray Telescope consists of three autonomous stations installed at the University Campus in the city of Patras. Each station comprises three large (≈ 1 m
2
) plastic ...scintillators and one or more Codalema type RF antennas detecting Extensive Air Showers (EAS), originating from primary particles with energy greater than 10 TeV. The operation and the performance of the Telescope is presented briefly, emphasising the educational activities foreseen in the framework of the HEllenic LYceum Cosmic Observatories Network (HELYCON).
The use of time over threshold techniques for the digitization of the output signals of photomultiplier tubes is under consideration by the KM3 NeT consortium. The technique consists of the recording ...of the times that the leading and trailing edge of the waveform crosses a certain voltage threshold. However, more information can be obtained by applying the same scheme at multiple threshold levels. We present the accuracy of a Multi-Time over Threshold technique in measuring the arrival time and the corresponding charge of signals produced by the optical elements of a large underwater neutrino telescope. We describe the operation and performance of the technique using simulated KM3 NeT photomultiplier pulses and report on the photomultiplier waveforms reconstruction accuracy. Finally, we describe an optimization of the technique capable of distinguishing different pulse shapes.
We report on the use of the HOU Reconstruction & Simulation (HOURS) software package in evaluating the performance of a Very Large Volume Neutrino Telescope. We present results of our study ...concerning the capability of a deep sea Cherenkov telescope in the Mediterranean Sea in detecting/discovering galactic and extragalactic high energy neutrino sources as well as measuring diffuse neutrino fluxes. Finally, we study a construction strategy of a large neutrino telescope that will lead to an early discovery of extragalactic neutrinos from gamma ray bursts.
Extensive atmospheric showers observed in coincidence by an underwater neutrino telescope and a HELYCON (HEllenic LYceum Cosmic Observatories Network) floating scintillation array, offer an efficient ...calibration tool for the angular offset and the absolute position of a deep sea neutrino Cherenkov telescope. We report results of our studies concerning systematic effects and the calibration potential of the proposed techniques in various
ν
-telescope
configurations and detector deployment depths.
Letter of intent for KM3NeT 2.0 Adrián-Martínez, S; Aharonian, F; Aiello, S ...
Journal of physics. G, Nuclear and particle physics,
08/2016, Letnik:
43, Številka:
8
Journal Article
Recenzirano
Odprti dostop
The main objectives of the KM3NeT Collaboration are (i) the discovery and subsequent observation of high-energy neutrino sources in the Universe and (ii) the determination of the mass hierarchy of ...neutrinos. These objectives are strongly motivated by two recent important discoveries, namely: (1) the high-energy astrophysical neutrino signal reported by IceCube and (2) the sizable contribution of electron neutrinos to the third neutrino mass eigenstate as reported by Daya Bay, Reno and others. To meet these objectives, the KM3NeT Collaboration plans to build a new Research Infrastructure consisting of a network of deep-sea neutrino telescopes in the Mediterranean Sea. A phased and distributed implementation is pursued which maximises the access to regional funds, the availability of human resources and the synergistic opportunities for the Earth and sea sciences community. Three suitable deep-sea sites are selected, namely off-shore Toulon (France), Capo Passero (Sicily, Italy) and Pylos (Peloponnese, Greece). The infrastructure will consist of three so-called building blocks. A building block comprises 115 strings, each string comprises 18 optical modules and each optical module comprises 31 photo-multiplier tubes. Each building block thus constitutes a three-dimensional array of photo sensors that can be used to detect the Cherenkov light produced by relativistic particles emerging from neutrino interactions. Two building blocks will be sparsely configured to fully explore the IceCube signal with similar instrumented volume, different methodology, improved resolution and complementary field of view, including the galactic plane. One building block will be densely configured to precisely measure atmospheric neutrino oscillations.
A simulation model is developed to train Artificial Neural Networks (ANN), for precise timing of PICOSEC Micromegas detector signals. The aim is to develop fast, online timing algorithms as well as ...minimising the information to be saved during data acquisition. PICOSEC waveforms were collected and digitised by a fast oscilloscope during a femptosecond-laser test beam run. A data set comprising waveforms collected with attenuated laser beam intensity, eradicating the emission of more than one photoelectron per light pulse from the PICOSEC photocathode, was utilised by a simulation algorithm to generate waveforms to train an ANN. A second data set of multi-photoelectron waveforms was used to evaluate the ANN performance in determining the PICOSEC Signal Arrival Time, relative to a fast photodiode time-reference. The ANN timing performance is the same as the results of a full offline signal processing, achieving a timing precision of 18.3\(\pm\)0.6 ps.