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52. Construction of a Medium-Sized Schwarzschild-Couder Telescope for the Cherenkov Telescope Array: Implementation of the Cherenkov-Camera Data Acquisition SystemM. Santander, Andrej Filipčič, Gašper Kukec Mezek, Samo Stanič, Serguei Vorobiov, Lili Yang, Gabrijela Zaharijas, Danilo Zavrtanik, Marko Zavrtanik, 2015, published scientific conference contribution Keywords: Cherenkov Telescope Array (CTA), double-mirror Schwarzschild-Couder medium-size telescopes
(MST-2M) for CTA, data acquisition system
Published in RUNG: 02.03.2017; Views: 5028; Downloads: 203
 Full text (533,75 KB) |
53. Data model issues in the Cherenkov Telescope Array projectJ.L. Contreras, Andrej Filipčič, Gašper Kukec Mezek, Samo Stanič, Serguei Vorobiov, Lili Yang, Gabrijela Zaharijas, Danilo Zavrtanik, Marko Zavrtanik, 2015, published scientific conference contribution Keywords: Cherenkov Telescope Array (CTA), public observatory, data model
Published in RUNG: 02.03.2017; Views: 4506; Downloads: 223
Full text (1,20 MB) |
54. Status and Plans for the Array Control and Data Acquisition System of the Cherenkov Telescope ArrayI. Oya, Andrej Filipčič, Gašper Kukec Mezek, Samo Stanič, Serguei Vorobiov, Lili Yang, Gabrijela Zaharijas, Danilo Zavrtanik, Marko Zavrtanik, 2015, published scientific conference contribution Keywords: Cherenkov Telescope Array (CTA), array control, data acquisition
Published in RUNG: 02.03.2017; Views: 4343; Downloads: 182
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55. Cherenkov Telescope Array Data ManagementG. Lamanna, Andrej Filipčič, Gašper Kukec Mezek, Samo Stanič, Serguei Vorobiov, Lili Yang, Gabrijela Zaharijas, Danilo Zavrtanik, Marko Zavrtanik, 2015, published scientific conference contribution Keywords: Cherenkov Telescope Array (CTA), public observatory, data management
Published in RUNG: 02.03.2017; Views: 4531; Downloads: 174
Full text (1,09 MB) |
56. From Trajectory Modeling to Social Habits and Behaviors AnalysisDonatella Gubiani, Marco Pavan, 2016, independent scientific component part or a chapter in a monograph Abstract: In recent years, the widespread of mobile devices has made easier and popular the activities of recording locations visited by users and of inferring their trajectories. The availability of such large amount of spatio-temporal data opens new challenges to automatically extract information and get valuable knowledge. The many aspects of this issue have aroused the interest of researchers in several areas, such as information retrieval, data mining, context-aware computing, security and privacy issues, urban planning, and transport management. Recently, there has been a strong interest in understanding how people move during their common daily activities in order to get information about their behaviors and habits. In this paper we describe considerable recent research works related to the analysis of mobile spatio-temporal data, focusing on the study of social habits and behaviors. We provide a general perspective on studies on human mobility by depicting and comparing methods and algorithms, highlighting some critical issues related to information extraction from spatio-temporal data, and future research directions.
Keywords: Trajectory modeling, Social habits and behaviors, Spatio-temporal data, Data mining
Published in RUNG: 18.11.2016; Views: 5633; Downloads: 0
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57. Towards a Joint Analysis of Data from the IceCube Neutrino Telescope, the Pierre Auger Observatory and Telescope ArrayA. Christov, Andrej Filipčič, Ahmed Saleh, Samo Stanič, Darko Veberič, Serguei Vorobiov, Danilo Zavrtanik, Marko Zavrtanik, 2016, published scientific conference contribution Keywords: ultra-high energy cosmic rays (UHECR), Pierre Auger Observatory, Telescope Array, very-high energy (VHE) neutrinos, IceCube Neutrino Telescope, joint data analysis
Published in RUNG: 08.11.2016; Views: 6118; Downloads: 0
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58. Combined fit of spectrum and composition data as measured by the Pierre Auger ObservatoryAndrea Di Matteo, Andrej Filipčič, Gašper Kukec Mezek, Ahmed Saleh, Samo Stanič, Marta Trini, Darko Veberič, Serguei Vorobiov, Lili Yang, Danilo Zavrtanik, Marko Zavrtanik, 2015, published scientific conference contribution Abstract: We present a combined fit of both flux and composition of
ultra-high energy cosmic rays as measured by the Pierre Auger
Observatory. The fit has been performed for energies above
5 × 10[sup]18 eV, i.e. the region of the all-particle spectrum
above the so-called “ankle” feature. A simple astrophysical model consisting of identical sources has been adopted, where
nuclei are injected with a rigidity dependent mechanism and the
sources are uniformly distributed in a comoving volume.
The fit results suggest a source model characterized by
relatively low maximum injection energies and hard spectral
indices. The impact of different sources of systematic
uncertainties in the above result is discussed.
Keywords: Pierre Auger Observatory, ultra-high energy cosmic rays, energy spectrum, elemental composition, combined data fit
Published in RUNG: 03.03.2016; Views: 5594; Downloads: 234
Full text (704,98 KB) |
