Mateusz Andrzej Ploskon

ORCID: 0000-0003-3161-9183
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About
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Research Areas
  • High-Energy Particle Collisions Research
  • Particle physics theoretical and experimental studies
  • Quantum Chromodynamics and Particle Interactions
  • Particle Detector Development and Performance
  • Nuclear reactor physics and engineering
  • Nuclear physics research studies
  • Dark Matter and Cosmic Phenomena
  • Superconducting Materials and Applications
  • Advanced Data Storage Technologies
  • Cosmology and Gravitation Theories
  • Computational Physics and Python Applications
  • Statistical Methods and Bayesian Inference
  • X-ray Spectroscopy and Fluorescence Analysis
  • Pulsars and Gravitational Waves Research
  • Stochastic processes and statistical mechanics
  • Ion-surface interactions and analysis
  • Manufacturing Process and Optimization
  • Pediatric Urology and Nephrology Studies
  • Atomic and Molecular Physics
  • Particle Accelerators and Free-Electron Lasers
  • Neutrino Physics Research
  • Stochastic processes and financial applications
  • Data Quality and Management
  • Advanced Semiconductor Detectors and Materials
  • advanced mathematical theories

Lawrence Berkeley National Laboratory
2016-2025

University of Bergen
2024

Universidad Nacional Autónoma de México
2017-2024

A. Alikhanyan National Laboratory
2015-2024

Thomas Jefferson National Accelerator Facility
2024

University of California, Riverside
2024

Central China Normal University
2019

Panjab University
2009

Goethe University Frankfurt
2006-2008

Jagiellonian University
2003-2006

We present simulations of non-equilibrium dynamics quantum field theories on digital computers. As a representative example, we consider the Schwinger model, 1+1 dimensional U(1) gauge theory, coupled through Yukawa-type interaction to thermal environment described by scalar theory. use Hamiltonian formulation model discretized spatial lattice. With fields traced out, can be treated as an open system and its real-time are governed Lindblad equation in Markovian limit. The with ultimately...

10.1103/physrevd.106.054508 article EN Physical review. D/Physical review. D. 2022-09-15

Abstract High-energy nuclear collisions encompass three key stages: the structure of colliding nuclei, informed by low-energy physics, initial condition , leading to formation quark–gluon plasma (QGP), and hydrodynamic expansion hadronization QGP, final-state hadron distributions that are observed experimentally. Recent advances in both experimental theoretical methods have ushered a precision era heavy-ion collisions, enabling an increasingly accurate understanding these stages. However,...

10.1007/s41365-024-01589-w article EN cc-by Nuclear Science and Techniques 2024-12-01

The invariant-mass spectrum of $e^+ e^-$ pairs produced in $^{12}$C+$^{12}$C collisions at an incident energy 2 GeV per nucleon has been measured for the first time. pair production probabilities span over five orders magnitude from $\pi^0$-Dalitz to $\rho/\omega$ region. Dalitz decays $\pi^0$ and $\eta$ account all yield up 0.15 GeV/c$^2$, but only about 50% above this mass. A comparison with model calculations shows that excess is likely due baryon-resonance vector-meson decays. Transport...

10.1103/physrevlett.98.052302 article EN Physical Review Letters 2007-02-01

The past decade has seen huge advances in experimental measurements made heavy ion collisions at the Relativistic Heavy Ion Collider (RHIC) and more recently Large Hadron (LHC). These new data, combination with theoretical from calculations a variety of frameworks, have led to broad deep knowledge properties thermal QCD matter. Increasingly quantitative descriptions quark-gluon plasma (QGP) created these established that QGP is strongly coupled liquid lowest value specific viscosity ever...

10.48550/arxiv.1502.02730 preprint EN other-oa arXiv (Cornell University) 2015-01-01

We present a framework to simulate the dynamics of hard probes such as heavy quarks or jets in hot, strongly coupled quark-gluon plasma (QGP) on quantum computer. Hard QGP can be treated open systems governed Markovian limit by Lindblad equation. However, due large computational costs, most current phenomenological calculations evolving use semiclassical approximations evolution. Quantum computation mitigate these costs and offers potential for fully treatment with exponential speed-up over...

10.1103/physrevd.104.l051501 article EN cc-by Physical review. D/Physical review. D. 2021-09-07

A bstract We explore machine learning-based jet and event identification at the future Electron-Ion Collider (EIC). study effectiveness of classifiers relatively low EIC energies, focusing on (i) identifying flavor (ii) underlying hard process event. propose applications our in key research areas current Relativistic Heavy Ion program, including enhancing constraints (transverse momentum dependent) parton distribution functions, improving experimental access to transverse spin asymmetries,...

10.1007/jhep03(2023)085 article EN cc-by Journal of High Energy Physics 2023-03-14

This paper summarizes the yields and emission patterns of ${K}^{+}$ ${K}^{\ensuremath{-}}$ mesons measured in inclusive C+C, Ni+Ni, Au+Au collisions at incident energies from $0.6A$ to $2.0A$ GeV using Kaon Spectrometer KaoS GSI. For Ni+Ni $1.5A$ $1.93A$ as well for GeV, detailed results are presented multiplicities, inverse slope parameters, anisotropies angular a function collision centrality. When comparing transport-model calculations production yields, an agreement is only obtained soft...

10.1103/physrevc.75.024906 article EN Physical Review C 2007-02-22

An exclusive measurement of the Coulomb breakup 8B into 7Be+p at 254A MeV allowed study angular correlations particles. These demonstrate clearly that E1 multipolarity dominates and E2 can be neglected. By using a simple single-particle model for treating in first-order perturbation theory, we extract zero-energy S factor S17(0)=18.6±1.2±1.0 eV b, where first error is experimental second one reflects theoretical uncertainty extrapolation.Received 4 March...

10.1103/physrevlett.90.232501 article EN Physical Review Letters 2003-06-09

The Future Circular Collider (FCC) Study is aimed at assessing the physics potential and technical feasibility of a new collider with centre-of-mass energies, in hadron-hadron collision mode, seven times larger than nominal LHC energies. Operating such machine heavy ions an option that being considered accelerator design studies. It would provide, for example, Pb-Pb p-Pb collisions sqrt{s_NN} = 39 63 TeV, respectively, per nucleon-nucleon collision, integrated luminosities above 30 nb^-1...

10.48550/arxiv.1605.01389 preprint EN other-oa arXiv (Cornell University) 2016-01-01

A bstract Machine learning-based jet classifiers are able to achieve impressive tagging performance in a variety of applications high-energy and nuclear physics. However, it remains unclear many cases which aspects jets give rise this discriminating power, whether observables that tractable perturbative QCD such as those obeying infrared-collinear (IRC) safety serve sufficient inputs. In article, we introduce new classifier, Jet Flow Networks (JFNs), an effort address the question IRC unsafe...

10.1007/jhep07(2024)257 article EN cc-by Journal of High Energy Physics 2024-07-26

Using a novel observable that relies on the momentum difference of two most energetic subjets within jet $$\varDelta S_{12}$$ we study internal structure high-energy jets simulated by several Monte Carlo event generators implement partonic energy-loss in dense medium. Based inclusive and dijet production demonstrate is an effective tool to discriminate between different models modifications over broad kinematic range. The new quantity, while preserving collinear infrared safety modern...

10.1140/epjc/s10052-018-5999-2 article EN cc-by The European Physical Journal C 2018-06-01

The `dead cone' effect is a predicted suppression of radiation from charged particle at small angles, but it difficult to measure in practice. In this Editors' Suggestion the authors demonstrate iterative declustering techniques which help reveal dead cone Monte Carlo simulations.

10.1103/physrevd.99.074027 article EN cc-by Physical review. D/Physical review. D. 2019-04-26

Measurements of jet substructure in heavy-ion collisions may provide key insight into the nature quenching quark-gluon plasma. Jet grooming techniques from high-energy physics have been applied to order isolate theoretically controlled observables and explore possible modification hard jets. However, algorithms used not tailored unique considerations collisions, particular experimental challenge reconstructing jets presence a large underlying event. We report set simple studies illustrating...

10.1103/physrevc.102.044913 article EN cc-by Physical review. C 2020-10-28

A bstract Jets produced in high-energy heavy-ion collisions are modified compared to those proton-proton due their interaction with the deconfined, strongly-coupled quark-gluon plasma (QGP). In this work, we employ machine learning techniques identify important features that distinguish jets from collisions. We formulate problem using binary classification and focus on leveraging ways inform theoretical calculations of jet modification: (i) quantify information content terms Infrared...

10.1007/jhep10(2022)011 article EN cc-by Journal of High Energy Physics 2022-10-03

An exclusive measurement of the Coulomb breakup B8 into Be7+p at 254A MeV was used to infer low-energy Be7(p,γ)B8 cross section. The radioactive beam produced by projectile fragmentation 350A C12 and separated with FRagment Separator (FRS) Gesellschaft für Schwerionenforschung in Darmstadt, Germany. Coulomb-breakup products were momentum-analyzed KaoS magnetic spectrometer; particular emphasis placed on angular correlations particles. These demonstrate clearly that E1 multipolarity dominates...

10.1103/physrevc.73.015806 article EN Physical Review C 2006-01-27

The on-line event reconstruction in ALICE is performed by the High Level Trigger, which should process up to 2000 events per second proton-proton collisions and 300 central heavy-ion collisions, corresponding an input data stream of 30 GB/s. In order fulfill time requirements, a fast tracker has been developed. algorithm combines Cellular Automaton method being used for pattern recognition Kalman Filter fitting found trajectories final track selection. was adapted run on Graphics Processing...

10.1109/tns.2011.2157702 article EN IEEE Transactions on Nuclear Science 2011-07-06

We present an implementation of explainable and physics-aware machine learning model capable inferring the underlying physics high-energy particle collisions using information encoded in energy-momentum four-vectors final state particles. demonstrate proof-of-concept our White Box AI approach a Generative Adversarial Network (GAN) which learns from DGLAP-based parton shower Monte Carlo event generator. show, for first time, that leads to network is able learn not only distribution particles,...

10.1016/j.physletb.2022.137055 article EN cc-by Physics Letters B 2022-04-15
D. Beck J. Carlson Zohreh Davoudi J. A. Formaggio Sofia Quaglioni and 95 more Martin O. Savage João Barata Tanmoy Bhattacharya Michael Bishof Ian C. Cloët Andrea Delgado Michael DeMarco C. W. Fink Adrien Florio Marianne Francois Dorota M. Grabowska Shannon Fogwell Hoogerheide Mengyao Huang Kazuki Ikeda Marc Illa K. Joo Dmitri E. Kharzeev Karol Kowalski Wai Kin Lai K. G. Leach B. Loer Ian Low Joshua Martin David Moore Thomas Mehen Niklas Mueller James Declan Mulligan H. P. Mumm Francesco Pederiva Rob Pisarski Mateusz Andrzej Ploskon Sanjay G. Reddy Gautam Rupak Hersh Singh Maninder Lal Singh Ionel Stetcu Jesse R. Stryker Paul Szypryt S. N. Valgushev B. A. VanDevender S. L. Watkins Christopher Wilson Xiaojun Yao Andrei Afanasev A. B. Balantekin Alessandro Baroni R. Bunker Bipasha Chakraborty I. L. Chernyshev Vincenzo Cirigliano Benjamin Y. Clark Shashi K. Dhiman Weijie Du D. Dutta Robert G. Edwards Abraham Flores A. Galindo-Uribarri R. F. García Ruíz V. G. Gueorguiev Fanqing Guo Erin Hansen Héctor J. Hernández Koichi Hattori Philipp Hauke M. Hjorth‐Jensen Keith Jankowski Calvin W. Johnson Denis Lacroix Dean Lee Huey-Wen Lin Xiaohui Liu Felipe J. Llanes–Estrada John G. Looney Misha Lukin Alexis Mercenne Jeff Miller Emil Mottola B. Mueller Benjamin Nachman John Negele J. L. Orrell Amol V. Patwardhan Daniel R. Phillips Stephen Poole Irene Qualters Mike Rumore Thomas Schaefer Jeremy A. Scott R. N. Singh James P. Vary Juan-Jose Galvez-Viruet Kyle Wendt Hongxi Xing Liang Yang Glenn D. Young

In preparation for the 2023 NSAC Long Range Plan (LRP), members of Nuclear Science community gathered to discuss current state of, and plans further leveraging opportunities in, QIST in NP research at Quantum Information U.S. Physics Planning workshop, held Santa Fe, New Mexico on January 31 - February 1, 2023. The workshop included 45 in-person participants 53 remote attendees. outcome identified strategic requirements next 5-10 years advance quantum sensing simulations within NP, develop a...

10.48550/arxiv.2303.00113 preprint EN other-oa arXiv (Cornell University) 2023-01-01

A major goal of the hot QCD program, extraction properties quark gluon plasma (QGP), is currently limited by our poor knowledge initial condition QGP, in particular how it shaped from colliding nuclei. To attack this limitation, we propose to exploit collisions selected species precisely assess changes under variations structure ions. This knowledge, combined with event-by-event measures particle correlations final state heavy-ion collisions, will provide turn a new way probe collective...

10.48550/arxiv.2209.11042 preprint EN cc-by arXiv (Cornell University) 2022-01-01

For the ALICE experiment at Large Hadron Collider (LHC) CERN/Geneva, a high level trigger system (HLT) for online event selection and data compression has been developed computing cluster of several hundred dual-processor nodes is being installed. A major integration test was carried out during commissioning time projection chamber (TPC), where HLT also provides monitoring system. All parts like small cluster, hardware input devices, transportation framework, analysis could be tested...

10.1109/tns.2007.913469 article EN IEEE Transactions on Nuclear Science 2008-01-01
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