A5025129711- Particle physics theoretical and experimental studies
- Quantum Chromodynamics and Particle Interactions
- High-Energy Particle Collisions Research
- Particle Detector Development and Performance
- Dark Matter and Cosmic Phenomena
- Distributed and Parallel Computing Systems
- Computational Physics and Python Applications
- Neutrino Physics Research
- Advanced Data Storage Technologies
- Cosmology and Gravitation Theories
- Radiation Detection and Scintillator Technologies
- Parallel Computing and Optimization Techniques
- Superconducting Materials and Applications
- CCD and CMOS Imaging Sensors
- Scientific Computing and Data Management
- Black Holes and Theoretical Physics
- Algorithms and Data Compression
- Medical Imaging Techniques and Applications
- Atomic and Subatomic Physics Research
- Chaos-based Image/Signal Encryption
- Financial Markets and Investment Strategies
- Particle Accelerators and Free-Electron Lasers
- Astrophysics and Cosmic Phenomena
- Complex Systems and Time Series Analysis
- Muon and positron interactions and applications
European Organization for Nuclear Research
2015-2024
Istituto Nazionale di Fisica Nucleare, Sezione di Pisa
1991-2022
Netherlands eScience Center
2022
National Institute for Subatomic Physics
2011-2022
Aristotle University of Thessaloniki
2022
Scuola Normale Superiore
1991-2022
TU Dortmund University
2022
University of Geneva
1998-2020
Karlsruhe Institute of Technology
2011-2020
École Polytechnique Fédérale de Lausanne
2020
Machine learning is an important applied research area in particle physics, beginning with applications to high-level physics analysis the 1990s and 2000s, followed by explosion of event identification reconstruction 2010s. In this document we discuss promising future development areas machine a roadmap for their implementation, software hardware resource requirements, collaborative initiatives data science community, academia industry, training community science. The main objective connect...
The flavour changing neutral current decay b→sγ has been detected in hadronic Z decays collected by ALEPH at LEP. signal is isolated lifetime-tagged bb̄ events the presence of a hard photon associated with system high momentum and rapidity hadrons. background processes are normalised from data themselves. inclusive branching ratio measured to be(3.11±0.80stat±0.72syst)×10−4,consistent Standard Model expectation via penguin processes.
Previously published and as yet unpublished QCD results obtained with the ALEPH detector at LEP1 are presented. The unprecedented statistics allows detailed studies of both perturbative non-perturbative aspects strong interactions to be carried out using hadronic Z tau decays. presented include precise determinations coupling constant, tests its flavour independence, SU(3) gauge structure QCD, study coherence effects, measurements single-particle inclusive distributions two-particle...
RooStats is a project to create advanced statistical tools required for the analysis of LHC data, with emphasis on discoveries, confidence intervals, and combined measurements.The idea provide major techniques as set C++ classes coherent interfaces, so that can be used arbitrary model datasets in common way.The are built top RooFit package, which provides functionality easily creating probability models, combinations digital publications results.We will present detail design implementation...
Abstract This is a review of pseudorandom number generators (RNG’s) the highest quality, suitable for use in most demanding Monte Carlo calculations. All RNG’s we recommend here are based on Kolmogorov–Anosov theory mixing classical mechanical systems, which guarantees under certain conditions and asymptotic limits, that points trajectories these systems can be used to produce random sequences exceptional quality. We outline this establish criteria deciding sufficiently good approximations...
Two samples of exclusive semileptonic decays, 579 B0 →D∗+ℓ−νℓ events and 261 → D+ℓ−νℓ events, are selected from approximately 3.9 million hadronic Z decays collected by the ALEPH detector at LEP. From reconstructed differential decay rate each sample, product form factor F(ω) zero recoil D(∗)+ meson CKM matrix element |Vcb| measured to be FD∗+(1)|Vcb| = (31.9 ± 1.8stat 1.9syst) × 10−3, FD+(1)|Vcb| (27.8 6.8stat 6.5syst) 10−3. The ratio factors FD+(1) FD∗+(1) is FD+(1)FD∗+(1) 0.87 0.22stat...
Machine learning has been applied to several problems in particle physics research, beginning with applications high-level analysis the 1990s and 2000s, followed by an explosion of event identification reconstruction 2010s. In this document we discuss promising future research development areas for machine physics. We detail a roadmap their implementation, software hardware resource requirements, collaborative initiatives data science community, academia industry, training community science....
This paper describes the activities performed by a working group formed with objective to support and develop mathematical software for high energy physics experiments of large hadron collider (LHC). The goal is share common libraries between LHC computing grid application area projects. We present various library components their design, particular emphasis on fitting minimization, describing new object oriented implementation in C++ MINUIT minimization package
Starting from a sample of four million hadronic Z decays collected with the ALEPH detector at LEP, 404 charged and neutral B mesons are fully reconstructed used to look for resonant structure in Bπ system. An excess events is observed above expected background mass spectrum ≈5.7 GeV/c2, consistent production decay B(∗)π B∗∗ states predicted by Heavy Quark Symmetry (HQS). In framework HQS, it found that B2∗ state (5739+8−11(stat)+6−4(syst))MeV/c2 relative rate system...
The triple gauge-boson couplings, αWΦ, αW and αBΦ, have been measured using 34 semileptonically 54 hadronically decaying W+W− candidate events. events were selected in the data recorded during 1996 with ALEPH detector at 172 GeV, corresponding to an integrated luminosity of 10.65 pb−1. couplings optimal observables constructed from kinematic information results are agreement Standard Model expectation.