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Related papers: An End-to-End Generative Diffusion Model for Heavy…

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Generative models such as Variational Autoencoders (VAEs) and Generative Adversarial Networks (GANs) have shown promise in sequential recommendation tasks. However, they face challenges, including posterior collapse and limited…

Machine Learning · Computer Science 2024-10-28 Sharare Zolghadr , Ole Winther , Paul Jeha

In this article we propose two novel 3D finite element models, denoted method A and B, for electron and hole Drift-Diffusion (DD) current densities. Method A is based on a primal-mixed formulation of the DD model as a function of the…

Numerical Analysis · Mathematics 2014-12-12 Aurelio Mauri , Andrea Bortolossi , Giovanni Novielli , Riccardo Sacco

Diffusion models have revolutionized generative AI, with their inherent capacity to generate highly realistic state-of-the-art synthetic data. However, these models employ an iterative denoising process over computationally intensive layers…

Hardware Architecture · Computer Science 2026-03-10 Tharini Suresh , Salma Afifi , Sudeep Pasricha

The first results from heavy ion collisions at the Large Hadron Collider for charged particle spectra and elliptic flow are compared to an event-by-event hybrid approach with an ideal hydrodynamic expansion. This approach has been shown to…

Nuclear Theory · Physics 2013-05-29 Hannah Petersen

A new era has started in the field of relativistic heavy-ion physics with lead beams delivered by the Large Hadron Collider (LHC) in November 2010. In this proceedings I highlight the main results from experimental measurements with Pb-Pb…

Nuclear Experiment · Physics 2011-09-09 Ilya Selyuzhenkov

Heavy-ion collisions at varying collision energies provide access to different regions of the QCD phase diagram. In particular collisions at intermediate energies are promising candidates to experimentally identify the postulated first…

High Energy Physics - Phenomenology · Physics 2023-01-24 Anna Schäfer , Iurii Karpenko , Xiang-Yu Wu , Jan Hammelmann , Hannah Elfner

Hypergraphs model higher-order interactions, but realistic hypergraph generation remains difficult because incidence, hyperedge-size heterogeneity, and overlap structure are not faithfully captured by pairwise reductions. We propose \HEDGE,…

Machine Learning · Statistics 2026-05-07 Christopher Nemeth

The first collisions of lead nuclei, delivered by the CERN Large Hadron Collider (LHC) at the end of 2010, at a centre-of-mass energy per nucleon pair $\sqrt{s_{NN}}$ = 2.76 TeV, marked the beginning of a new era in ultra-relativistic…

High Energy Physics - Experiment · Physics 2017-02-24 Panagiota Foka , Malgorzata Anna Janik

Viscous relativistic hydrodynamics in 3+1 dimensions is applied to describe heavy ion collisions at RHIC and LHC. We present calculations of observables that are sensitive to the longitudinal structure of the created system. In particular…

Nuclear Theory · Physics 2016-11-23 Gabriel Denicol , Akihiko Monnai , Sangwook Ryu , Bjoern Schenke

High energy heavy ion collisions at the Relativistic Heavy Ion Collider (RHIC) produce a novel medium characterized by an initial energy density over an order of magnitude above the expected phase transformation value and that then evolves…

Nuclear Experiment · Physics 2007-05-23 J. L. Nagle

In this contribution we briefly give an overview of the theoretical models used to describe experimental data from heavy-ion collisions from $\sqrt{s_{NN}} \approx $ 4 GeV to ultra-relativistic energies of $\sqrt{s_{NN}} \approx $ 5 TeV. We…

Nuclear Theory · Physics 2017-11-07 E. L. Bratkovskaya , W. Cassing , P. Moreau , T. Song

Firstly, we give a short review about the hydrodynamic model and its application to the elliptic flow phenomena in relativistic heavy ion collisions. Secondly, we show the first approach to construct a unified model for the description of…

Nuclear Theory · Physics 2010-11-30 Tetsufumi Hirano , Yasushi Nara

The dynamics of ecological as well as chemical systems may depend on heterogeneous configurations. Heterogeneity in reaction-diffusion systems often increase modelling and simulating difficulties when non-linear effects are present. One…

Physics and Society · Physics 2019-08-27 Orlando Silva

We present a fully three-dimensional model providing initial conditions for energy and net-baryon density distributions in heavy ion collisions at arbitrary collision energy. The model includes the dynamical deceleration of participating…

Nuclear Theory · Physics 2018-02-21 Chun Shen , Björn Schenke

We investigate the space-time evolution of ultrarelativistic Au-Au collisions at full RHIC energy using a schematic model of the expansion. Assuming a thermally equilibrated system, we can adjust the essential scale parameters of this model…

High Energy Physics - Phenomenology · Physics 2009-11-10 Thorsten Renk

Simulation is one of the key components in high energy physics. Historically it relies on the Monte Carlo methods which require a tremendous amount of computation resources. These methods may have difficulties with the expected High…

Data Analysis, Statistics and Probability · Physics 2019-10-02 Viktoria Chekalina , Elena Orlova , Fedor Ratnikov , Dmitry Ulyanov , Andrey Ustyuzhanin , Egor Zakharov

The charged particle multiplicity distribution in high energy hadronic and nuclear collisions receive contribution from both diffractive and non diffractive processes. It is experimentally challenging to segregate diffractive events from…

High Energy Physics - Phenomenology · Physics 2022-06-08 Sadhana Dash , Nirbhay Behera , Basanta Nandi

Hypergraphs are powerful mathematical structures that can model complex, high-order relationships in various domains, including social networks, bioinformatics, and recommender systems. However, generating realistic and diverse hypergraphs…

Machine Learning · Computer Science 2026-03-11 Dorian Gailhard , Enzo Tartaglione , Lirida Naviner , Jhony H. Giraldo

This work studies the production of direct photons in relativistic nuclear collisions, along with the production of hadrons. Radiation from the very first instants to the final moments of the evolution is included. The hybrid model used…

Nuclear Theory · Physics 2022-02-01 Charles Gale , Jean-François Paquet , Björn Schenke , Chun Shen

We propose a family of First Hitting Diffusion Models (FHDM), deep generative models that generate data with a diffusion process that terminates at a random first hitting time. This yields an extension of the standard fixed-time diffusion…

Computer Vision and Pattern Recognition · Computer Science 2022-10-18 Mao Ye , Lemeng Wu , Qiang Liu
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