A5042286590- 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
- Computational Physics and Python Applications
- Neutrino Physics Research
- Cosmology and Gravitation Theories
- Distributed and Parallel Computing Systems
- Black Holes and Theoretical Physics
- Particle Accelerators and Free-Electron Lasers
- Medical Imaging Techniques and Applications
- Atomic and Subatomic Physics Research
- Big Data Technologies and Applications
- Gamma-ray bursts and supernovae
- Nuclear reactor physics and engineering
- Stochastic processes and financial applications
- Laser-Plasma Interactions and Diagnostics
- Optical properties and cooling technologies in crystalline materials
- Noncommutative and Quantum Gravity Theories
- Radiation Therapy and Dosimetry
- Scientific Computing and Data Management
- Aerodynamics and Acoustics in Jet Flows
- Simulation Techniques and Applications
- Laser-induced spectroscopy and plasma
ETH Zurich
2022-2025
Institute of Particle Physics
2024-2025
Istituto Nazionale di Fisica Nucleare, Sezione di Milano Bicocca
2020-2024
A. Alikhanyan National Laboratory
2022-2024
Institute of High Energy Physics
2020-2024
University of Antwerp
2024
University of Milano-Bicocca
2020-2023
European Organization for Nuclear Research
2021-2023
Istituto Nazionale di Fisica Nucleare, Sezione di Pisa
2022
Istituto Nazionale di Fisica Nucleare, Sezione di Torino
2021
The reconstruction of electrons and photons in CMS depends on topological clustering the energy deposited by an incident particle different crystals electromagnetic calorimeter (ECAL). These clusters are formed aggregating neighbouring according to expected topology shower ECAL. presence upstream material (beampipe, tracker support structures) causes start showering before reaching calorimeter. This effect, combined with 3.8T magnetic field, leads being spread several around primary one. It...
Abstract We report on a consistent comparison between techniques of quantum and classical machine learning applied to the classification signal background events for Vector Boson Scattering processes, studied at Large Hadron Collider installed CERN laboratory. Quantum algorithms based variational circuits are run freely available computing hardware, showing very good performances as compared deep neural networks facilities. In particular, we show that such kind is able correctly classify...
This document summarises the talks and discussions happened during VBSCan Mid-Term Scientific Meeting workshop. The COST action is dedicated to coordinated study of vector boson scattering (VBS) from phenomenological experimental point view, for best exploitation data that will be delivered by existing future particle colliders.
Simulated events are key ingredients in almost all high-energy physics analyses. However, imperfections the simulation can lead to sizeable differences between observed data and simulated events. The effects of such mismodelling on relevant observables must be corrected either effectively via scale factors, with weights or by modifying distributions their correlations. We introduce a correction method that transforms one multidimensional distribution (simulation) into another (data) using...
Abstract Simulated events are key ingredients in almost all high-energy physics analyses. However, imperfections the simulation can lead to sizeable differences between observed data and simulated events. The effects of such mismodelling on relevant observables must be corrected either effectively via scale factors, with weights or by modifying distributions their correlations. We introduce a correction method that transforms one multidimensional distribution (simulation) into another (data)...
The CMS electromagnetic Calorimeter (ECAL) is a high resolution crystal calorimeter operating at the CERN LHC. It responsible for identification and precise reconstruction of electrons photons in CMS, which were crucial discovery subsequent characterization Higgs boson. also contributes to tau leptons, jets, energy sums, are vital components many physics analyses. ECAL trigger system employs fast digital signal processing algorithms precisely measure timing information deposits recorded...
This document reports the first year of activity VBSCan COST Action network, as summarised by talks and discussions happened during Thessaloniki 2018 workshop. The action is aiming at a consistent coordinated study vector-boson scattering from phenomenological experimental point view, for best exploitation data that will be delivered existing future particle colliders.
The CMS Electromagnetic Calorimeter (ECAL), is a high granularity lead tungstate crystal calorimeter operating at the CERN LHC. original design placed premium on excellent energy resolution. Excellent resolution and efficient identification for photons are essential to reconstruct Higgs boson in $H \rightarrow \gamma\gamma$ decay channel, measurements of self-coupling bosons other related parameters. ECAL performance has been crucial discovery subsequent characterisation boson....
A search for the electroweak VBS production of a WV pair plus two jets, in semi-leptonic channel, at center-of-mass energy 13 TeV is reported. The data sample corresponds to full Run-II CMS dataset proton-proton collisions including an integrated luminosity 137.1 fb$^{-1}$. Events are analyzed regimes: either hadronically decaying W/Z boson reconstructed as one large-radius jet, or it identified jets with dijet mass near mass. Machine learning models optimized signal extraction and...
The reconstruction of electrons and photons in CMS depends on topological clustering the energy deposited by an incident particle different crystals electromagnetic calorimeter (ECAL). These clusters are formed aggregating neighbouring according to expected topology shower ECAL. presence upstream material (beampipe, tracker support structures) causes start showering before reaching calorimeter. This effect, combined with 3.8T magnetic field, leads being spread several around primary one. It...
Abstract We report on a consistent comparison between techniques of quantum and classical machine learning applied to the classification signal background events for Vector Boson Scattering processes, studied at Large Hadron Collider installed CERN laboratory. Quantum algorithms based variational circuits are run freely available computing hardware, showing very good performances as compared deep neural networks facilities. In particular, we show that such kind able correctly classify with...
Abstract We report on a consistent comparison between techniques of quantum and classical machine learning applied to the classification signal background events for Vector Boson Scattering processes, studied at Large Hadron Collider installed CERN laboratory. Quan- tum algorithms based variational circuits are run freely available computing hardware, showing very good performances as compared deep neural networks facilities. In particular, we show that such kind able correctly classify with...
The reconstruction of electrons and photons in CMS is based on topological clustering the energy they deposit different crystals electromagnetic calorimeter (ECAL). These clusters are built by aggregating neighbouring according to expected topology an shower ECAL. presence upstream material causes electron photon early showering before reaching This effect, combined with 3.8 T magnetic field, leads being spread several around primary one. It essential recover contained these satellite...