Tag: Unipd

Simulations of complex networks

Simulations of complex networks

Department of Information Engineering of the University of Padua The SIGNET group of the Department of Information Engineering uses the CloudVeneto platform to carry out simulations of complex networks. In particular, one project involves testing underwater communication protocols through the transmission of acoustic and optical waves. The platform allows running multiple instances of the ns2-miracle simulator, which has been implemented with a module (DESERT Underwater) enabling the reproduction of the effects of acoustic and optical signal propagation in an underwater environment. The complexity of the model requires significant computational and memory resources that can be allocated on demand within the CloudVeneto platform. A second project involves simulating protocols for millimeter-wave (mmWave) radio communications, operating at extremely high frequencies (GHz). In this case, the opportunity to integrate the ns-3 network simulator with some protocols available for the Linux operating system, but not yet implemented in ns-3 (for example, some recent versions of TCP), has been exploited. Thanks to the computational resources available on CloudVeneto, it was possible to increase the realism and complexity of the simulated scenarios. The most appreciated aspect is the autonomous management of virtual machines. Dott. Andrea Zanella

Study of beauty quark production in proton-proton collisions at the LHC collider​

Study of beauty quark production in proton-proton collisions at the LHC collider​

INFN Section of Padua and Department of Physics and Astronomy of the University of Padua The LHCb group of the G. Galilei Department and the Padua Section of INFN is involved in the study of beauty quark production in proton-proton collisions at the LHC collider. Beauty quarks are identified through the exclusive reconstruction of mesons and baryons containing the beauty quark, such as neutral Bs mesons, or inclusively by identifying jets produced from the hadronization of a beauty quark. Both techniques require sophisticated algorithms, including boosted decision trees or deep neural networks. Once developed, these algorithms are applied to a significant amount of events to isolate the signal of interest in the physical data. For all these operations, which demand substantial computing resources, as well as for data storage, CloudVeneto resources are extensively utilized. Dott. Alessandro Bertolin

Data Analysis of the MAGIC Experiment

Data Analysis of the MAGIC Experiment

INFN Section of Padua and Department of Physics and Astronomy of the University of Padua MAGIC is an experiment designed for the detection of very high-energy gamma rays, which are indicative of extremely violent processes in the universe, such as the mass falling into a black hole or stellar explosions. Very high-energy gamma rays (E > 50 GeV) can be detected from Earth, as they produce a cascade of particles when interacting with the atmosphere. This particle cascade generates a faint flash of Cherenkov light produced by particles traveling faster than light propagates through the atmosphere. The Cherenkov light is collected by enormous telescopes and focused onto a camera, producing an image of the cascade. Data analysis for the MAGIC experiment involves the three-dimensional reconstruction of the cascade based on Cherenkov images. The primary goal is to determine the direction and energy of the gamma ray that triggered the cascade. A constant and detailed simulation of both atmospheric cascades and the detector’s response under different data-taking conditions is crucial. Therefore, simulated data is continuously generated to validate the acquired experimental data. The analyses conducted by our group on CloudVeneto have been the subject of numerous scientific articles published in prestigious international journals. Among these articles, a recent significant contribution pertains to the association of a gamma-ray source with a neutrino event, marking the inception of new ‘multi-messenger’ astrophysics involving neutrinos. Prof. M. Mariotti