A5033769235- Particle physics theoretical and experimental studies
- High-Energy Particle Collisions Research
- Quantum Chromodynamics and Particle Interactions
- Quantum Computing Algorithms and Architecture
- Distributed and Parallel Computing Systems
- Quantum Information and Cryptography
- Parallel Computing and Optimization Techniques
- Advanced Data Storage Technologies
- Computational Physics and Python Applications
- Quantum Mechanics and Applications
- Particle Detector Development and Performance
- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
- Quantum and electron transport phenomena
- Dark Matter and Cosmic Phenomena
- Medical Imaging Techniques and Applications
- Generative Adversarial Networks and Image Synthesis
- Cosmology and Gravitation Theories
- Superconducting Materials and Applications
- Neural Networks and Reservoir Computing
- Neutrino Physics Research
- Markov Chains and Monte Carlo Methods
- Quantum many-body systems
- Lung Cancer Diagnosis and Treatment
- Advanced X-ray and CT Imaging
University of Milan
2015-2025
Istituto Nazionale di Fisica Nucleare, Sezione di Milano
2015-2025
European Organization for Nuclear Research
2015-2024
Technology Innovation Institute
2020-2024
Istituto Nazionale di Fisica Nucleare
2013-2023
San Raffaele University of Rome
2022
Universidad Nacional Autónoma de México
2020
University of Oxford
2016
We present NNPDF3.0, the first set of parton distribution functions (PDFs) determined with a methodology validated by closure test. NNPDF3.0 uses global dataset including HERA-II deep-inelastic inclusive cross-sections, combined HERA charm data, jet production from ATLAS and CMS, vector boson rapidity transverse momentum distributions ATLAS, CMS LHCb, W +c data top quark pair total cross sections CMS. Results are based on LO, NLO NNLO QCD theory also include electroweak corrections. To...
We present a new set of parton distributions, NNPDF3.1, which updates NNPDF3.0, the first global PDFs determined using methodology validated by closure test. The update is motivated recent progress in and available data, involves both. On methodological side, we now parametrize determine charm PDF alongside light-quark gluon ones, thereby increasing from seven to eight number independent PDFs. data include D0 electron muon
We provide an updated recommendation for the usage of sets parton distribution functions (PDFs) and assessment PDF PDF+ uncertainties suitable applications at LHC Run II. review developments since previous PDF4LHC recommendation, discuss compare new generation PDFs, which include substantial information from experimental data I LHC. then propose a prescription combination subset available sets, is presented in terms single combined set. finally tools allow delivery this set optimized Hessian...
We present an updated set of parameters for the PYTHIA 8 event generator. reevaluate constraints imposed by LEP and SLD on hadronization, in particular with regard to heavy-quark fragmentation strangeness production. For hadron collisions, we combine a new NNPDF2.3 LO PDF set. use minimum-bias, Drell-Yan, underlying-event data from LHC constrain initial-state-radiation multi-parton-interaction parameters, combined SPS Tevatron energy scaling. Several distributions show significant...
We present a new set of parton distribution functions (PDFs) based on fully global dataset and machine learning techniques: NNPDF4.0. expand the NNPDF3.1 determination with 44 datasets, mostly from LHC. derive novel methodology through hyperparameter optimisation, leading to an efficient fitting algorithm built upon stochastic gradient descent. use NNLO QCD calculations account for NLO electroweak corrections nuclear uncertainties. Theoretical improvements in PDF description include...
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...
Quantum computers offer an intriguing path for a paradigmatic change of computing in the natural sciences and beyond, with potential achieving so-called quantum advantage—namely, significant (in some cases exponential) speedup numerical simulations. The rapid development hardware devices various realizations qubits enables execution small-scale but representative applications on computers. In particular, high-energy physics community plays pivotal role accessing power computing, since field...
We present NNFF1.0, a new determination of the fragmentation functions (FFs) charged pions, kaons, and protons/antiprotons from an analysis single-inclusive hadron production data in electron-positron annihilation. This determination, performed at leading, next-to-leading, next-to-next-to-leading order perturbative QCD, is based on NNPDF methodology, fitting framework designed to provide statistically sound representation FF uncertainties minimise any procedural bias. discuss novel aspects...
Precision phenomenology at the LHC requires accounting for both higher-order QCD and electroweak corrections as well photon-initiated subprocesses. Building upon recent NNPDF3.1 fit, in this work photon content of proton is determined within a global analysis supplemented by LUXqed constraint relating PDF to lepton-proton scattering structure functions: NNPDF3.1luxQED. The uncertainties on resulting are level few percent, with photons carrying up 0.5% proton's momentum. We study...
We present an unbiased determination of the charm content proton, in which parton distribution function (PDF) is parametrized on same footing as light quarks and gluon a global PDF analysis. This relies NLO calculation deep-inelastic structure functions FONLL scheme, generalized to account for massive charm-initiated contributions. When EMC dataset included, it well described by fit, uncertainties fitted are significantly reduced. then find that vanishes within at scale $$Q\sim 1.6$$ GeV all...
We present a detailed comparison of the most recent sets NNLO PDFs from ABM, CT, HERAPDF, MSTW and NNPDF collaborations. compare parton distributions at low high scales luminosities relevant for LHC phenomenology. study PDF dependence benchmark inclusive cross sections differential electroweak boson jet production in cases which experimental covariance matrix is available. quantify agreement between data theory by computing chi2 each set with all various PDFs. comparisons are performed...
The current PDF4LHC recommendation to estimate uncertainties due parton distribution functions (PDFs) in theoretical predictions for LHC processes involves the combination of separate computed using PDF sets from different groups, each which comprises a relatively large number either Hessian eigenvectors or Monte Carlo (MC) replicas. While many fixed-order and shower programs allow evaluation single set at no additional CPU cost, this feature is not universal, and, moreover, posteriori least...
Abstract We formulate a general approach to the inclusion of theoretical uncertainties, specifically those related missing higher order uncertainty (MHOU), in determination parton distribution functions (PDFs). demonstrate how, under quite generic assumptions, theory uncertainties can be included as an extra contribution covariance matrix when determining PDFs from data. then review, clarify, and systematize use renormalization factorization scale variations means estimate MHOUs consistently...
Abstract We present Qibo , a new open-source software for fast evaluation of quantum circuits and adiabatic evolution which takes full advantage hardware accelerators. The growing interest in computing the recent developments devices motivates development advanced computational tools focused on performance usage simplicity. In this work we introduce simulation framework that enables developers to delegate all complicated aspects or platform implementation library so they can focus problem...
Abstract We present the software framework underlying NNPDF4.0 global determination of parton distribution functions (PDFs). The code is released under an open source licence and accompanied by extensive documentation examples. base composed a PDF fitting package, tools to handle experimental data efficiently compare it theoretical predictions, versatile analysis framework. In addition ensuring reproducibility (and subsequent) determination, public release NNPDF enables number...
Abstract We extend the existing leading (LO), next-to-leading (NLO), and next-to-next-to-leading order (NNLO) NNPDF4.0 sets of parton distribution functions (PDFs) to approximate next-to-next-to-next-to-leading ( $$\hbox {aN}^3\hbox {LO}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:msup><mml:mtext>aN</mml:mtext><mml:mn>3</mml:mn></mml:msup><mml:mtext>LO</mml:mtext></mml:mrow></mml:math> ). construct an approximation {N}^3\hbox...
We develop a methodology for the construction of Hessian representation Monte Carlo sets parton distributions, based on use subset PDF replicas as an unbiased linear basis, and genetic algorithm determination optimal basis. validate by first showing that it faithfully reproduces native set (NNPDF3.0), then, if applied to (MMHT14) which was transformed into set, gives back starting PDFs with minimal information loss. then show that, when large obtained combination several underlying sets,...
Modern global analyses of the structure proton include collider measurements which probe energies well above electroweak scale. While these provide powerful constraints on parton distribution functions (PDFs), they are also sensitive to beyond standard model (BSM) dynamics if affect fitted distributions. Here we present a first simultaneous determination PDFs and BSM effects from deep-inelastic function data by means NNPDF framework. We consider representative four-fermion operators SM...
Abstract The parton distribution functions (PDFs) which characterize the structure of proton are currently one dominant sources uncertainty in predictions for most processes measured at Large Hadron Collider (LHC). Here we present first extraction PDFs that accounts missing higher order (MHOU) fixed-order QCD calculations used PDF determinations. We demonstrate MHOU can be included as a contribution to covariance matrix fit, and then introduce prescriptions computation this using scale...
This report summarises the properties of Standard Model processes at 100 TeV pp collider. We document production rates and typical distributions for a number benchmark processes, discuss new dynamical phenomena arising highest energies available this intrinsic physics interest in measurement these as well their role backgrounds New Physics searches.