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We develop randomized quantum algorithms to simulate quantum collision models, also known as repeated interaction schemes, which provide a rich framework to model various open-system dynamics. The underlying technique involves composing…

Quantum Physics · Physics 2025-08-20 Kushagra Garg , Zeeshan Ahmed , Subhadip Mitra , Shantanav Chakraborty

We investigate the compression of nuclear matter in relativistic hydrodynamics. Nuclear matter is described by a $\sigma-\omega$--type model for the hadron matter phase and by the MIT bag model for the quark--gluon plasma, with a first…

Nuclear Theory · Physics 2009-10-28 Dirk H. Rischke , Yaris Puersuen , Joachim A. Maruhn

We study the initial conditions for Pb+Pb collisions at $\sqrt{s_{\rm NN}}=2.76$ TeV using the two component Monte-Carlo Glauber model with shadowing of the nucleons in the interior by the leading ones. The model parameters are fixed by…

Nuclear Theory · Physics 2016-05-10 Snigdha Ghosh , Sushant K. Singh , Sandeep Chatterjee , Jane Alam , Sourav Sarkar

An open source software package for simulating thermal neutron propagation in geometry is presented. In this system, neutron propagation can be treated by either the particle transport method or the ray-tracing method. Supported by an…

Computational Physics · Physics 2023-12-05 Zi-Yi Pan , Ni Yang , Ming Tang , Peixun Shen , Xiao-Xiao Cai

The extraction of neutrino mixing parameters from accelerator-based neutrino oscillation experiments relies on proper modeling of neutrino-nucleus scattering processes using neutrino-interaction event generators. Experimental tests of these…

At high-energy collider experiments, generative models can be used for a wide range of tasks, including fast detector simulations, unfolding, searches of physics beyond the Standard Model, and inference tasks. In particular, it has been…

High Energy Physics - Phenomenology · Physics 2024-11-07 Jack Y. Araz , Vinicius Mikuni , Felix Ringer , Nobuo Sato , Fernando Torales Acosta , Richard Whitehill

We propose a framework that integrates classical Monte Carlo simulators and Wasserstein generative adversarial networks to model, estimate, and simulate a broad class of arrival processes with general non-stationary and multi-dimensional…

Machine Learning · Statistics 2023-06-13 Yufeng Zheng , Zeyu Zheng , Tingyu Zhu

Monte Carlo (MC) simulations are used to compute the centrality dependence of the collision zone eccentricities ($\epsilon_{2,4}$), for both spherical and deformed ground state nuclei, for different model scenarios. Sizable model dependent…

Nuclear Experiment · Physics 2014-11-20 Roy A. Lacey , Rui Wei , N. N. Ajitanand , J. M. Alexander , X. Gong , J. Jia , A. Taranenko , R. Pak , Horst Stocker

Complete Monte Carlo (MC) simulation of a neutrino experiment typically involves the lengthy and CPU-intensive process of integrating models of incoming neutrino fluxes, event generation, and detector setup. We describe a fast,…

High Energy Physics - Phenomenology · Physics 2022-09-13 Ishaan Vohra

Predominantly preliminary single and double inclusive momentum spectra of 158 AGeV Pb+Pb collisions, recently measured by the NA44 and NA49 Collaborations, are reproduced using the relativistic hydrodynamical model HYLANDER-C. Two different…

Nuclear Theory · Physics 2022-02-23 B. R. Schlei

This work presents a Bayesian inference study for relativistic heavy-ion collisions in the Beam Energy Scan program at the Relativistic Heavy-Ion Collider. The theoretical model simulates event-by-event (3+1)D collision dynamics using…

Nuclear Theory · Physics 2026-02-03 Syed Afrid Jahan , Hendrik Roch , Chun Shen

The initial stages of relativistic heavy ion collisions are studied numerically in the framework of a 2+1 dimensional classical Yang-Mills theory. We calculate the energy and number densities and momentum spectra of the produced gluons. The…

High Energy Physics - Phenomenology · Physics 2009-11-10 T. Lappi

Quantum particle simulations have largely been based on time-independent, split-operator schemes in which kinetic and potential operators are interwoven to provide accurate approximations to system dynamics. These simulations can be very…

Quantum Physics · Physics 2016-01-26 Andrew T. Sornborger , Phillip Stancil , Michael Geller

The full design of relevant systems for quantum applications, ranging from quantum simulation to sensing, is presented using a combination of atomistic methods. A prototypical system features a two-dimensional ordered distribution of spins…

A Monte Carlo event generator is presented. An original algorithm is developed to simulate electron-positron scattering at energies and momentum transferred much more than the electron mass. The first-order electroweak radiative corrections…

High Energy Physics - Phenomenology · Physics 2007-05-23 A. B. Arbuzov

Starting from a Color Glass Condensate (CGC) framework, based on a running-coupling improved $k_T$-factorized formula, we calculate bulk observables in several heavy-ion collision systems. This is done in two ways: first we calculate the…

Nuclear Theory · Physics 2019-08-07 Andre V. Giannini , Frédérique Grassi , Matthew Luzum

We study the dynamical evolution of globular clusters using our 2D Monte Carlo code with the inclusion of primordial binary interactions for equal-mass stars. We use approximate analytical cross sections for energy generation from…

Astrophysics · Physics 2009-11-07 J. M. Fregeau , M. A. Gurkan , K. J. Joshi , F. A. Rasio

In this article we describe simulations of the hadronic decay of Higgs bosons produced in association with vector bosons at linear and hadronic colliders. We use the Monte Carlo at next-to-leading-order MC@NLO matching prescription with the…

High Energy Physics - Phenomenology · Physics 2011-01-27 Oluseyi Latunde-Dada

We study nuclear reactions induced by virtual photons associated with Lorentz-boosted Coulomb fields of ultrarelativistic heavy ions. Evaporation, fission and multifragmentation mechanisms are included in a new RELDIS code, which describes…

Nuclear Theory · Physics 2009-10-31 I. A. Pshenichnov , I. N. Mishustin , J. P. Bondorf , A. S. Botvina , A. S. Iljinov

This chapter surveys the most standard Monte Carlo methods available for simulating from a posterior distribution associated with a mixture and conducts some experiments about the robustness of the Gibbs sampler in high dimensional Gaussian…