A5103249884- Particle physics theoretical and experimental studies
- High-Energy Particle Collisions Research
- Particle Detector Development and Performance
- Quantum Chromodynamics and Particle Interactions
- Radiation Detection and Scintillator Technologies
- Dark Matter and Cosmic Phenomena
- Muon and positron interactions and applications
- Cold Atom Physics and Bose-Einstein Condensates
- Atomic and Molecular Physics
- Particle Accelerators and Free-Electron Lasers
- Electron and X-Ray Spectroscopy Techniques
- ICT in Developing Communities
- CCD and CMOS Imaging Sensors
- Laser-Plasma Interactions and Diagnostics
- Quantum Information and Cryptography
- Agriculture and Rural Development Research
- Nuclear Physics and Applications
- Advanced X-ray Imaging Techniques
- Advanced Semiconductor Detectors and Materials
- Supply Chain Resilience and Risk Management
- Information Systems Theories and Implementation
- Quantum, superfluid, helium dynamics
- IoT and GPS-based Vehicle Safety Systems
- Radio Wave Propagation Studies
- Geographic Information Systems Studies
Eni (Italy)
2019-2023
Istituto Nazionale di Fisica Nucleare, Sezione di Milano
2001-2019
University of Milan
1981-2019
Istituto Nazionale di Fisica Nucleare
1984-2016
Columbia University
2013-2015
Università della Svizzera italiana
2015
Massachusetts Institute of Technology
2012-2013
Institute of High Energy Physics
2010-2012
UCLouvain
2011
Istituto Nazionale di Fisica Nucleare, Sezione di Milano Bicocca
2005
Interference of matter waves is at the heart quantum physics and has been observed for a wide range particles from electrons to complex molecules. Here, we demonstrate wave interference single positrons using period-magnifying Talbot-Lau interferometer based on material diffraction gratings. The system produced high-contrast periodic fringes, which were detected by means nuclear emulsions capable determining impact point each individual positron with submicrometric resolution. measured...
Starting from an elementary model and refining it to take into account more realistic effects, we discuss the limitations advantages of matter-wave interferometry in different configurations. We focus on possibility apply this approach scenarios involving antimatter, such as positrons positronium atoms. In particular, investigate Talbot–Lau interferometer with material gratings details results view possible experimental verification.
We study in detail a peculiar configuration of the Talbot-Lau matter wave interferometer, characterized by unequal distances between two diffraction gratings and observation plane. refer to this apparatus as ``asymmetric setup.'' Particular attention is given its capabilities an inertial sensor for particle atomic beams, also comparison with classical moir\'e deflectometer. The present paper motivated possible experimental applications context antimatter interferometry, including measurement...
AbstractBangladesh is considered one of the countries most likely to be affected by negative impacts climate change. Indeed, a wide range climate-induced threats endangers national food security. Furthermore, peculiar environmental characteristics Bangladesh make it particularly difficult design and implement comprehensive policies support agricultural development. At present, policy-makers need plan adequate strategies ensure security for growing population while facing biophysical...
Abstract Ten Mozambican Community Multimedia Centers (CMCs) were investigated by analyzing Social Representations of users and staff members. Photo‐elicitation, an underexplored methodological approach in the domain Information Communication Technologies for Development (ICT4D), was employed to conduct study, a three‐step qualitative content analysis performed on both visual textual data. Results tend confirm build upon outcomes from existing literature Public Access Venues (PAVs). Local...
The inherently non-dispatchable nature of renewable sources, such as solar photovoltaic, is regarded one the main challenges hindering their massive integration in existing electric grids. Accurate forecasting power output plant might therefore play a key role towards this goal. In paper, we compare several machine learning and deep algorithms for intra-hour 1 MW photovoltaic plant, using meteorological data acquired field. With best performing algorithms, our data-driven workflow provided...
Emulsion detectors feature a very high position resolution and consequently represent an ideal device when particle detection is required at the micrometric scale. This case of quantum interferometry studies with antimatter, where fringes have to be measured. In this framework, we designed realized new emulsion based detector characterized by gel enriched in terms silver bromide crystal contents poured on glass plate. We tested sensitivity such low energy positrons range 10-20 keV. The...
In the last few decades, characterized by intense environmental, landscape and socio-economic-financial changes, unexpected issues concerning primary sector are arising asks to researchers an urgent deep reformulation both of conceptual technological tools used in applied research. The concept innovation is now radically changed, starting from a prevailing formula linear top-down technology transfer, which has green revolution 1960s, nowadays approach complex system, aimed at creating...
Much of the research that goes into Big Data, and specifically on Collaborative is focused upon questions, such as: • how to get more it? (e.g., participatory mechanisms, social media, geo-coded data from personal electronic devices) handle ingest, sort, s
Nuclear emulsions are capable of very high position resolution in the detection ionizing particles. This feature can be exploited to directly resolve micrometric-scale fringe pattern produced by a matter-wave interferometer for low energy positrons (in 10–20 keV range). We have tested performance emulsion films this specific scenario. Exploiting silicon nitride diffraction gratings as absorption masks, we periodic patterns with features comparable expected signal. Test samples periodicities...
In the last few decades, characterized by intense environmental, landscape and socio-economic-financial changes, unexpected issues concerning primary sector are arising require researchers an urgent deep reformulation of both conceptual technological tools used in applied research.The concept innovation is now radically changed, starting from a prevailing formula linear top-down technology transfer, which has green revolution 1960s, to nowadays approach that complex system, it aimed at...
Machine learning models have become widespread in materials science research. An open‐access and community‐driven database containing over 40 000 perovskite photovoltaic devices has been recently published. This resource enables the application of predictive data‐driven to correlate device structure with performance, whereas literature usually focuses on specific layers. Herein, concept device‐level performance prediction is explored using gradient‐boosted regression trees as core algorithm...