86 research outputs found
Detection of the Crab Nebula using a Random Forest Analysis of the first TAIGA IACT Data
The Tunka Advanced Instrument for Gamma- and cosmic-ray Astronomy (TAIGA) is
a multicomponent experiment for the measurement of TeV to PeV gamma- and cosmic
rays. Our goal is to establish a novel hybrid direct air shower technique,
sufficient to access the energy domain of the long-sought Pevatrons. The hybrid
air Cherenkov light detection technique combines the strengths of the HiSCORE
shower front sampling array, and two 4 m class, 9.6 deg field
of view Imaging Air Cherenkov Telescopes (IACTs). The HiSCORE array provides
good angular and shower core position resolution, while the IACTs provide the
image shape and orientation for gamma-hadron separation. In future, an
additional muon detector will be used for hadron tagging at 100 TeV
energies. Here, only data from the first IACT of the TAIGA experiment are used.
A random forest algorithm was trained using Monte Carlo (MC) simulations and
real data, and applied to 85 h of selected observational data tracking the Crab
Nebula at a mean zenith angle of 33.5 deg, resulting in a threshold energy of 6
TeV for this dataset. The analysis was performed using the gammapy package. A
total of 163.5 excess events were detected, with a statistical significance of
8.5 sigma. The observed spectrum of the Crab Nebula is best fit with a power
law above 6 TeV with a flux normalisation of at a reference energy of 13 TeV and a spectral index
of .Comment: 8 pages, 9 figures, accepted by MNRA
Tunka Advanced Instrument for cosmic rays and Gamma Astronomy
The paper is a script of a lecture given at the ISAPP-Baikal summer school in
2018. The lecture gives an overview of the Tunka Advanced Instrument for cosmic
rays and Gamma Astronomy (TAIGA) facility including historical introduction,
description of existing and future setups, and outreach and open data
activities.Comment: Lectures given at the ISAPP-Baikal Summer School 2018: Exploring the
Universe through multiple messengers, 12-21 July 2018, Bol'shie Koty, Russi
The HiSCORE Project
A central question of Astroparticle Physics, the origin of cosmic rays, still remains unsolved. HiSCORE (Hundred*i Square-km Cosmic ORigin Explorer) is a concept for a large-area wide-angle non-imaging air shower detector, addressing this question by searching for cosmic ray pevatrons in the energy range from 10TeV to few PeV and cosmic rays in the energy range above 100TeV. In the framework of the Tunka-HiSCORE project, first prototypes have been deployed on the site of the Tunka-133 experiment, where we plan to install an engineering array covering an area of the order of 1km2. On the same site, also imaging and particle detectors are planned, potentially allowing a future hybrid detector system. Here we present the HiSCORE detector principle, its potential for cosmic ray origin search and the status of ongoing activities in the framework of the Tunka-HiSCORE experiment
Method of Separation Between Light and Heavy Groups of Primary CR Nuclei by LDF of Cherenkov Light in the Range 300–3000 TeV
The problem of chemical composition below the knee in the cosmic-ray energy spectrum has not yet been solved due to low statistics collected from direct experiments. In the HiSCORE experiment the lateral distribution functions (LDF) of Cherenkov light of EASs with energy greater than hundreds of TeV can be measured in detail for millions of individual events. A full steepness of LDF is sensitive to the depth of shower maximum and as a result to primary particle type. In this paper, we developed a parametric method of separation between heavy and light groups of nuclei using the ’knee-like’ approximation of LDF and taking into account measurement uncertainty
The precision of the IACT mechanical mounts of the TAIGA observatory
The TAIGA (Tunka Advanced Instrument for cosmic ray physics and Gamma Astronomy) observatory is located in the Tunka valley (~50 km west from the southern shore of Lake Baikal) at an altitude of 675m a.s.l. The TAIGA observatory aims to address gamma-ray astronomy at energies from a few TeV to several PeV and CR physics from 100 TeV to several EeV. Its main feature is the complementary, hybrid approach to distinguish CR events from those of gamma rays. Currently TAIGA consists of ~80 wide-angle air Cherenkov detectors (HiSCORE stations), three ~4m diameter IACTs and several hundred surface and underground muon detectors, grouped in three jointly operating arrays. The exceptional feature of the TAIGA IACT array is it’s topology that allows one to aim for the optimal cost/performance by scanning the optimal inter-telescope distances from 300m up to 600m. The IACTs have alt-azimuth type mounts and 576-pixel imaging cameras in the foci, covering 9.6° aperture in the sky. The segmented reflectors of ~10m² area follow the Davis-Cotton design. The largest diameter of the hexagonal shape reflector is 4.3m and the focal length is 4.75m. The rigid telescope mount provides a maximum displacement of EAS image below 2mm (i.e. ≤ 0.024°) in the photodetector plane. The main parameters of IACTs are of a crucial importance for their efficient operation and is presented
Enhancing port’s competitiveness thanks to 5G enabled applications and services
This work aims to evaluate a set of Critical Success Factors (CSF) that are important for port operations optimization. Furthermore, a set of 5G enabled applications is evaluated based on their importance for two typologies of companies located in the port of Hamburg, Athens and Luka Koper. More specifically, the importance of CSFs and 5G enabled applications and services is assessed based on the point of views of respondents working for technological companies and companies involved in the port’s operations, using Multi Criteria Analysis. Finally, the relationship between the CSFs and 5G applications and services is considered based on the χ2 test of hypothesis. Then, the possibility to promote 5G applications and services as CSF for port operations optimization which will in turn increase port competitiveness, is discussed
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