G. G. Fronzé

ORCID: 0000-0003-0966-4279
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About
Contact & Profiles
Research Areas
  • High-Energy Particle Collisions Research
  • Particle physics theoretical and experimental studies
  • Quantum Chromodynamics and Particle Interactions
  • Pulsars and Gravitational Waves Research
  • Gamma-ray bursts and supernovae
  • Astrophysical Phenomena and Observations
  • Cosmology and Gravitation Theories
  • Geophysics and Gravity Measurements
  • High-pressure geophysics and materials
  • Nuclear reactor physics and engineering
  • Atomic and Subatomic Physics Research
  • Cold Atom Physics and Bose-Einstein Condensates
  • Particle Detector Development and Performance
  • Magnetic confinement fusion research
  • Radio Astronomy Observations and Technology
  • Superconducting Materials and Applications
  • Dark Matter and Cosmic Phenomena
  • Advanced Data Storage Technologies
  • Astrophysics and Cosmic Phenomena
  • Seismic Waves and Analysis
  • Geophysics and Sensor Technology
  • Advanced Frequency and Time Standards
  • Scientific Computing and Data Management
  • Distributed and Parallel Computing Systems
  • Mechanical and Optical Resonators

Istituto Nazionale di Fisica Nucleare, Sezione di Torino
2016-2024

Istituto Nazionale di Fisica Nucleare
2020-2022

A. Alikhanyan National Laboratory
2016-2020

Panjab University
2016-2020

University of Turin
2016-2020

European Gravitational Observatory
2019

Laboratoire de Physique Subatomique et des Technologies Associées
2017-2018

IMT Atlantique
2017

ALICE (A Large Ion Collider Experiment) is devoted to the study of heavy-ion collisions at LHC energies. In such a deconfined state nuclear matter, Quark-Gluon Plasma (QGP), formed. Due their early production, quarkonium states are good probes QGP evolution. Such affected by suppression mechanisms which lead reduced yields with respect pp and p-Pb collisions, while regeneration phenomena might an enhancement production. The latter effects expected be negligible for bottomonium states. recent...

10.48550/arxiv.1612.06691 preprint EN other-oa arXiv (Cornell University) 2016-01-01

For many scientific projects, data management is an increasingly complicated challenge. The number of data-intensive instruments generating unprecedented volumes growing and their accompanying workflows are becoming more complex. Their storage computing resources heterogeneous distributed at numerous geographical locations belonging to different administrative domains organisations. These do not necessarily coincide with the places where produced nor stored, analysed by researchers, or...

10.1051/epjconf/202024511006 article EN cc-by EPJ Web of Conferences 2020-01-01

The ALICE muon spectrometer studies the production of quarkonia and open heavy-flavour particles. It is equipped with a trigger system composed Resistive Plate Chambers which, by applying transverse-momentum-based selection, minimises background from light-hadron decays. has been continuously taking data throughout LHC Run I; it undergone maintenance consolidation operations during shutdown period 1. In first year II, system, fully recommissioned, participated in pp Pb-Pb collisions....

10.1088/1748-0221/11/06/c06003 article EN Journal of Instrumentation 2016-06-08

10.1016/j.nuclphysbps.2017.05.092 article EN Nuclear and Particle Physics Proceedings 2017-08-01

10.1393/ncc/i2018-18014-y preprint EN HAL (Le Centre pour la Communication Scientifique Directe) 2017-04-19

In recent years, proficiency in data science and machine learning (ML) became one of the most requested skills for jobs both industry academy. Machine algorithms typically require large sets to train models extensive usage computing resources, training inference. Especially deep algorithms, performances can be dramatically improved by exploiting Graphical Processing Units (GPUs). The needed skill set a scientist is therefore extremely broad, ranges from knowledge ML distributed programming...

10.1051/epjconf/202024508016 article EN cc-by EPJ Web of Conferences 2020-01-01

In recent years, compute performances of GPUs (Graphics Processing Units) dramatically increased, especially in comparison to those CPUs (Central Units). are nowadays the hardware choice for scientific applications involving massive parallel operations, such as deep learning (DL) and Artificial Intelligence (AI) workflows. Large-scale computing infrastructures on-premises data centers, HPC (High Performance Computing) public or private clouds offer high performance researchers. The...

10.22323/1.414.0221 article EN cc-by-nc-nd Proceedings of 41st International Conference on High Energy physics — PoS(ICHEP2022) 2022-09-19

Managing the data of scientific projects is an increasingly complicated challenge, which was historically met by developing experiment-specific solutions. However, ever-growing rates and requirements even small experiments make this approach very difficult, if not prohibitive. In recent years, management system Rucio has evolved into a successful open-source project that now being used many communities organisations. incorporating contributions expertise offering common features useful to...

10.1051/epjconf/202125102030 article EN cc-by EPJ Web of Conferences 2021-01-01
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