A5106315933- Particle physics theoretical and experimental studies
- High-Energy Particle Collisions Research
- Quantum Chromodynamics and Particle Interactions
- Particle Detector Development and Performance
- Dark Matter and Cosmic Phenomena
- Cosmology and Gravitation Theories
- Computational Physics and Python Applications
- Neutrino Physics Research
- Astrophysics and Cosmic Phenomena
- Black Holes and Theoretical Physics
- Medical Imaging Techniques and Applications
- Radiation Detection and Scintillator Technologies
- Distributed and Parallel Computing Systems
- Particle Accelerators and Free-Electron Lasers
- Gamma-ray bursts and supernovae
- Nuclear reactor physics and engineering
- Atomic and Subatomic Physics Research
- CCD and CMOS Imaging Sensors
- Radiation Therapy and Dosimetry
- International Science and Diplomacy
- Nuclear Physics and Applications
- Optical properties and cooling technologies in crystalline materials
- Nuclear physics research studies
- Gas Dynamics and Kinetic Theory
- Advanced Data Storage Technologies
University of Padua
2015-2025
University of Trento
2014-2025
Istituto Nazionale di Fisica Nucleare, Sezione di Padova
2014-2025
Istituto Nazionale di Fisica Nucleare
2021-2024
University of Zurich
2017-2023
Istituto Nazionale di Fisica Nucleare, Laboratori Nazionali di Legnaro
2023
University of Debrecen
2023
National Agency for New Technologies, Energy and Sustainable Economic Development
2023
National Central University
2020
Atlas Copco (Germany)
2019
A plethysmograph is a device that quantitatively assesses volumetric variations in an organ or the entire body, typically resulting from fluctuations blood flow. In this study, strain-gauge sensor measures changes volume of neck was used to detect cerebral venous outflow internal jugular veins. The electronic signal susceptible several external factors, complicating identification relevant features. reliable analysis waveform, without need for manual intervention analyze data, paramount...
Dark matter interacting with the Standard Model fermions through new scalars or pseudoscalars flavour-diagonal couplings proportional to fermion mass are well motivated theoretically, and provide a useful phenomenological model which interpret experimental results. Two modes of dark production from these models have been considered in existing literature: pairs produced top quark loops an associated monojet event, pair heavy flavoured quarks (tops bottoms). In this paper, we demonstrate that...
This work describes an online processing pipeline designed to identify anomalies in a continuous stream of data collected without external triggers from particle detector. The begins with local reconstruction algorithm, employing neural networks on FPGA as its first stage. Subsequent preparation and anomaly detection stages are accelerated using GPGPUs. As practical demonstration detection, we have developed quality monitoring application cosmic muon Its primary objective is detect...
The online reconstruction of muon tracks in High Energy Physics experiments is a highly demanding task, typically performed with programmable logic boards, such as FPGAs. Complex analytical algorithms are executed quasi-real-time environment to identify, select and reconstruct local often noise-rich environments. A novel approach the generation triggers based on an hybrid combination Artificial Neural Networks methods proposed, targeting for drift tube detectors. proposed algorithm exploits...
Abstract The CMS experiment 40 MHz data scouting project is aimed at intercepting the produced level of detectors’ front-end without filters induced by hardware-based triggers. A first implementation realized trigger-less reading and processing a fraction Drift Tube (DT) muon detector, equipped with preliminary version so-called Phase-2 Upgrade on-detector electronics boards. are transferred via high-speed optical links to back-end boards independently from central acquisition (DAQ),...
An overview of the searches for heavy resonances that decay to leptons or quarks is presented. The results are based on data collected by ATLAS and CMS experiments in proton-proton collisions at $\sqrt{s} = 13~\textrm{TeV}$, include first time entire LHC Run 2 set.
The online reconstruction of muon tracks in High Energy Physics experiments is a highly demanding task, typically performed with programmable logic boards, such as FPGAs. Complex analytical algorithms are executed quasi-real-time environment to identify, select and reconstruct local often noise-rich environments. A novel approach the generation triggers based on an hybrid combination Artificial Neural Networks methods proposed, targeting for drift tube detectors. proposed algorithm exploits...
This work describes an online processing pipeline designed to identify anomalies in a continuous stream of data collected without external triggers from particle detector. The begins with local reconstruction algorithm, employing neural networks on FPGA as its first stage. Subsequent preparation and anomaly detection stages are accelerated using GPGPUs. As practical demonstration detection, we have developed quality monitoring application cosmic muon Its primary objective is detect...
Beyond the standard model theories like Extra-Dimensions and Composite Higgs scenarios predict existence of very heavy resonances compatible with a spin 0 (Radion), 1 (W', Z') 2 (Graviton) particle large branching fractions in pairs bosons negligible to light fermions. We present an overview searches for new physics containing W, Z or H final state, using proton-proton collision data collected CMS detector at CERN LHC. Many results use novel analysis techniques identify reconstruct highly...
To date, only two modes of production at hadron colliders dark matter through new scalar or pseudoscalar mediators have been considered in the existing literature: pairs particles produced top quark loops with an associated hadronic jet event (monojet), and heavy flavored bottom quarks. We present a third, previously overlooked channel, which consists association single quark. In spite generally lower cross section LHC when compared to top-pair non-flavor violating processes are...
The majority of high energy physics experiments rely on data acquisition and hardware-based trigger systems performing a number stringent selections before storing for offline analysis. online reconstruction selection performed at the level are bound to synchronous nature system, resulting in trade-off between amount collected complexity performed. Exotic processes, such as long-lived slow-moving particles, rarely targeted by triggers they require complex nonstandard reconstruction, usually...