A5068455002- Particle physics theoretical and experimental studies
- High-Energy Particle Collisions Research
- Quantum Chromodynamics and Particle Interactions
- Particle Detector Development and Performance
- Computational Physics and Python Applications
- Dark Matter and Cosmic Phenomena
- Cosmology and Gravitation Theories
- Neutrino Physics Research
- Black Holes and Theoretical Physics
- Astrophysics and Cosmic Phenomena
- Gamma-ray bursts and supernovae
- Distributed and Parallel Computing Systems
- Particle Accelerators and Free-Electron Lasers
- Radiation Detection and Scintillator Technologies
- Medical Imaging Techniques and Applications
- Stochastic processes and financial applications
- International Science and Diplomacy
- CCD and CMOS Imaging Sensors
- Scientific Computing and Data Management
- Laser-Plasma Interactions and Diagnostics
- Nuclear reactor physics and engineering
- Radio Astronomy Observations and Technology
- Advanced MIMO Systems Optimization
- Atomic and Subatomic Physics Research
- Gaussian Processes and Bayesian Inference
Universität Hamburg
2021-2025
A. Alikhanyan National Laboratory
2022-2024
Institute of High Energy Physics
2022-2024
Qualcomm (United States)
2021-2024
University of Antwerp
2021-2024
Hamburg Institut (Germany)
2024
Deutsches Elektronen-Synchrotron DESY
2017-2023
OrthoCarolina
2023
Center for Migration Studies of New York
2023
Karlsruhe Institute of Technology
2023
We provide a concise overview on transverse momentum dependent (TMD) parton distribution functions, their application to topical issues in high-energy physics phenomenology, and theoretical connections with QCD resummation, evolution factorization theorems. illustrate the use of TMDs via examples multi-scale problems hadronic collisions. These include q_T spectra Higgs vector bosons for low q_T, azimuthal correlations production multiple jets associated heavy at large jet masses. discuss...
Collinear and transverse-momentum-dependent (TMD) parton densities are obtained from fits to precision measurements of deep-inelastic scattering (DIS) cross sections at HERA. The evolved by Dokshitzer-Gribov-Lipatov-Altarelli-Parisi evolution with next-to-leading-order (NLO) splitting functions using the branching method, allowing one determine simultaneously collinear TMD for all flavors over a wide range in $x$, ${\ensuremath{\mu}}^{2}$ ${k}_{t}$, relevant predictions LHC. DIS section is...
A common library, TMDlib2, for Transverse-Momentum-Dependent distributions (TMDs) and unintegrated parton (uPDFs) is described, which allows easy access of commonly used TMDs uPDFs, providing a three-dimensional (3D) picture the partonic structure hadrons. The tool TMDplotter web-based plotting implemented in together with collinear pdfs as available LHAPDF.
Transverse momentum dependent (TMD) parton distributions obtained from the branching (PB) method are combined with next-to-leading-order (NLO) calculations of Drell-Yan (DY) production. We apply MC@NLO for hard process calculation and matching PB TMDs. compute predictions transverse momentum, rapidity, ${\ensuremath{\phi}}^{*}$ spectra Z-bosons. find that theoretical uncertainties dominated by renormalization factorization scale dependence, while impact TMD is moderate. The agree well,...
Abstract It has been observed in the literature that measurements of low-mass Drell–Yan (DY) transverse momentum spectra at low center-of-mass energies $$\sqrt{s}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:msqrt><mml:mi>s</mml:mi></mml:msqrt></mml:math> are not well described by perturbative QCD calculations collinear factorization region where momenta comparable with DY mass. We examine this issue from standpoint Parton Branching (PB) method, combining...
The availability of precise and accurate simulation is a limiting factor for interpreting forecasting data in many fields science engineering. Often, one or more distinct software applications are developed, each with relative advantage accuracy speed. quality insights extracted from the stands to increase if faster, economical could be improved parity near resource-intensive but simulation. We present Fast Perfekt, machine-learned regression refine output fast that employs residual neural...
At the CMS experiment, a growing reliance on fast Monte Carlo application (FastSim) will accompany high luminosity and detector granularity expected in Phase 2. The FastSim chain is roughly 10 times faster than based Geant4 simulation full reconstruction referred to as FullSim. However, this advantage comes at price of decreased accuracy some final analysis observables. In contribution, machine learning-based technique refine those observables presented. We employ regression neural network...
Blockage by the human hand/body is an important impairment in realizing practical millimeter-wave wireless systems. Prior works on blockage modeling are either based theoretical studies of double knife-edge diffraction or its modifications, high-frequency simulations electromagnetic effects, measurements with experimental prototypes. While such useful, they do not capture form-factor constraints user equipments (UEs), as moderate array sizes, gains, and beamwidths. In this work, we study...
Automated classification of astronomical sources is often challenging due to the scarcity labelled training data. We present a data set with total number 2158 items that contains radio galaxy images their corresponding morphological labels taken from various catalogues [1,2]. The curated by removing duplicates, ambiguous and different meta formats. image was acquired VLA FIRST (Faint Images Radio Sky at Twenty-Centimeters) survey [3]. are collected catalogue specific definition converted...
ABSTRACT Machine learning techniques that perform morphological classification of astronomical sources often suffer from a scarcity labelled training data. Here, we focus on the case supervised deep models for radio galaxies, which is particularly topical forthcoming large surveys. We demonstrate use generative models, specifically Wasserstein adversarial networks (wGANs), to generate data different classes galaxies. Further, study impact augmenting with images our wGAN three architectures....
It has been observed in the literature that measurements of low-mass Drell-Yan (DY) transverse momentum spectra at low center-of-mass energies $\sqrt{s}$ are not well described by perturbative QCD calculations collinear factorization region where momenta comparable with DY mass. We examine this issue from standpoint Parton Branching (PB) method, combining next-to-leading-order (NLO) hard process evolution dependent (TMD) parton distributions. compare our predictions experimental mass, and...
Two versions of a specific 2nm rated filter containing filtration medium and all other components produced from high density polyethylene (HDPE), one subjected to standard cleaning, the specialized ultra-cleaning, were evaluated in terms their cleanliness characteristics, also defectivity wafers processed with photoresist filtered through each. With respect inherent cleanliness, ultraclean version exhibited 70% reduction total metal extractables 90% organics compared clean version. In...
We motivate and describe a method based on fits with polynomials to test the smoothness of differential distributions. As demonstration, we apply several measurements inclusive jet double-differential cross section in transverse momentum rapidity at Tevatron LHC. This opens new possibilities quality distributions used for extraction physics quantities such as strong coupling.
We describe a hands-on introduction to deep learning in particle physics, performed during the 5th INFIERI school Wuhan, China. presented fundamental machine concepts students from diverse backgrounds physics and computing, prepared them apply these techniques solve an example problem (hadronic top quark tagging). exploited simplicity of tools like Jupyter notebooks, user-friendly approaches data science libraries such as Keras with TensorFlow.
Two versions of a specific 2 nm rated filter containing filtration medium and all other components produced from high density polyethylene (HDPE), one subjected to standard cleaning, the specialized ultra-cleaning, were evaluated in terms their cleanliness characteristics, also defectivity wafers processed with photoresist filtered through each. With respect inherent cleanliness, ultraclean version exhibited 70% reduction total metal extractables 90% organics compared clean version. In...
24th International Workshop on Deep-Inelastic Scattering and Related Subjects, DIS 2016, Hamburg, Germany, 11 Apr 2016 - 15 ; Proceedings of Science (DIS2016), 039(2016).
Quantum chromodynamics (QCD) has yielded a vast literature spanning distinct phenomena. We construct corpus of papers and build generative model. This model holds promise for accelerating the capability scientists to consolidate their knowledge QCD by ability generate validate scientific works in landscape related similar problems HEP. Furthermore, we discuss challenges future directions using large language models integrate our about through automated generation explanatory texts.
The availability of precise and accurate simulation is a limiting factor for interpreting forecasting data in many fields science engineering. Often, one or more distinct software applications are developed, each with relative advantage accuracy speed. quality insights extracted from the stands to increase if faster, economical could be improved parity near resource-intensive but simulation. We present Fast Perfekt, machine-learned regression that employs residual neural networks refine...
Blockage by the human hand/body is an important impairment in realizing practical millimeter wave wireless systems. Prior works on blockage modeling are either based theoretical studies of double knife edge diffraction or its modifications, high-frequency simulations electromagnetic effects, measurements with experimental prototypes. While such useful, they do not capture form-factor constraints user equipments (UEs). In this work, we study impact a UE at $28$ GHz built Qualcomm's modem,...
As the complexity of nanoparticle dispersions used in next-generation CMP slurries increases to meet stringent performance demands, it is necessary develop polymeric filtration media that capture rouge particles order reduce overall surface defectivity without sacrificing planarization efficiency. Therefore, essential probe molecular level interactions at nanoparticle/slurry chemistry/polymer interface and turn correlate this key metrics such as substrate removal rate, post defects, More...
The latest versions of TMDlib and TMDplotter are presented. Parameterisations TMDs in illustrated. New features include plotting as a function the momentum fraction, transverse momentum, or evolution scale, well integration comparison to sets from LHAPDF. Luminosity for collinear PDFs is also described. tool available at http://tmdplotter.desy.de.
We present a determination of parton densities at NLO obtained with the Parton Branching method using precision measurements deep inelastic scattering cross sections HERA. The two sets shown in this work are same angular ordering condition for evolution scale and they differ chosen strong coupling evaluation, which we consider scenarios: scale, transverse momentum qT from prescription. dependent applied to LHC processes: Drell-Yan pT spectrum azimuthal correlation high dijet events. For...