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We developed a Monte Carlo event generator for production of nucleon configurations in complex nuclei consistently including effects of Nucleon-Nucleon (NN) correlations. Our approach is based on the Metropolis search for configurations…

Nuclear Theory · Physics 2013-05-14 M. Alvioli , H. -J. Drescher , M. Strikman

Score-based generative models are a new class of generative algorithms that have been shown to produce realistic images even in high dimensional spaces, currently surpassing other state-of-the-art models for different benchmark categories…

High Energy Physics - Phenomenology · Physics 2022-12-07 Vinicius Mikuni , Benjamin Nachman

We present a next generation of multi-particle Monte Carlo (MC) Event generators for LHC and ILC for the MSSM, namely the three program packages Madgraph/MadEvent, WHiZard/O'Mega and Sherpa/Amegic++. The interesting but difficult…

High Energy Physics - Phenomenology · Physics 2014-11-18 J. Reuter , K. Hagiwara , W. Kilian , F. Krauss , T. Ohl , T. Plehn , D. Rainwater , S. Schumann

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

Collimation systems in particle accelerators are designed to dispose of unavoidable losses safely and efficiently during beam operation. Different roles are required for different types of accelerator. The present state of the art in beam…

Accelerator Physics · Physics 2016-08-11 S. Redaelli

We present theoretical approaches to high energy nuclear collisions in detail putting a special emphasis on technical aspects of numerical simulations. Models include relativistic hydrodynamics, Monte-Carlo implementation of…

Nuclear Theory · Physics 2012-03-21 Tetsufumi Hirano , Yasushi Nara

This paper gives an overview of the particle transport theory essentials, the basics of particle-material interaction simulation, physical quantities needed to simulate particle transport and interactions in materials, Monte Carlo…

Accelerator Physics · Physics 2020-06-18 Nikolai Mokhov

Quantum mechanical many-electron calculations can predict properties of atoms, molecules and even complex materials. The employed computational methods play a quintessential role in many scientifically and technologically relevant research…

Chemical Physics · Physics 2025-10-22 Tobias Schäfer , Andreas Irmler , Alejandro Gallo , Andreas Grüneis

The CMS experiment at the CERN LHC will be upgraded to accommodate the 5-fold increase in the instantaneous luminosity expected at the High-Luminosity LHC (HL-LHC). Concomitant with this increase will be an increase in the number of…

Instrumentation and Detectors · Physics 2021-04-28 B. Acar , G. Adamov , C. Adloff , S. Afanasiev , N. Akchurin , B. Akgün , M. Alhusseini , J. Alison , G. Altopp , M. Alyari , S. An , S. Anagul , I. Andreev , M. Andrews , P. Aspell , I. A. Atakisi , O. Bach , A. Baden , G. Bakas , A. Bakshi , P. Bargassa , D. Barney , E. Becheva , P. Behera , A. Belloni , T. Bergauer , M. Besancon , S. Bhattacharya , S. Bhattacharya , D. Bhowmik , P. Bloch , A. Bodek , M. Bonanomi , A. Bonnemaison , S. Bonomally , J. Borg , F. Bouyjou , D. Braga , J. Brashear , E. Brondolin , P. Bryant , J. Bueghly , B. Bilki , B. Burkle , A. Butler-Nalin , S. Callier , D. Calvet , X. Cao , B. Caraway , S. Caregari , L. Ceard , Y. C. Cekmecelioglu , G. Cerminara , N. Charitonidis , R. Chatterjee , Y. M. Chen , Z. Chen , K. y. Cheng , S. Chernichenko , H. Cheung , C. H. Chien , S. Choudhury , D. Čoko , G. Collura , F. Couderc , I. Dumanoglu , D. Dannheim , P. Dauncey , A. David , G. Davies , E. Day , P. DeBarbaro , F. De Guio , C. de La Taille , M. De Silva , P. Debbins , E. Delagnes , J. M. Deltoro , G. Derylo , P. G. Dias de Almeida , D. Diaz , P. Dinaucourt , J. Dittmann , M. Dragicevic , S. Dugad , V. Dutta , S. Dutta , J. Eckdahl , T. K. Edberg , M. El Berni , S. C. Eno , Yu. Ershov , P. Everaerts , S. Extier , F. Fahim , C. Fallon , B. A. Fontana Santos Alves , E. Frahm , G. Franzoni , J. Freeman , T. French , E. Gurpinar Guler , Y. Guler , M. Gagnan , P. Gandhi , S. Ganjour , A. Garcia-Bellido , Z. Gecse , Y. Geerebaert , H. Gerwig , O. Gevin , W. Gilbert , A. Gilbert , K. Gill , C. Gingu , S. Gninenko , A. Golunov , I. Golutvin , T. Gonzalez , N. Gorbounov , L. Gouskos , Y. Gu , F. Guilloux , E. Gülmez , M. Hammer , A. Harilal , K. Hatakeyama , A. Heering , V. Hegde , U. Heintz , V. Hinger , N. Hinton , J. Hirschauer , J. Hoff , W. S. Hou , C. Isik , J. Incandela , S. Jain , H. R. Jheng , U. Joshi , O. Kara , V. Kachanov , A. Kalinin , R. Kameshwar , A. Kaminskiy , A. Karneyeu , O. Kaya , M. Kaya , A. Khukhunaishvili , S. Kim , K. Koetz , T. Kolberg , A. Kristić , M. Krohn , K. Krüger , N. Kulagin , S. Kulis , S. Kunori , C. M. Kuo , V. Kuryatkov , S. Kyre , O. K. Köseyan , Y. Lai , K. Lamichhane , G. Landsberg , J. Langford , M. Y. Lee , A. Levin , A. Li , B. Li , J. -H. Li , H. Liao , D. Lincoln , L. Linssen , R. Lipton , Y. Liu , A. Lobanov , R. S. Lu , I. Lysova , A. M. Magnan , F. Magniette , A. A. Maier , A. Malakhov , I. Mandjavize , M. Mannelli , J. Mans , A. Marchioro , A. Martelli , P. Masterson , B. Meng , T. Mengke , A. Mestvirishvili , I. Mirza , S. Moccia , I. Morrissey , T. Mudholkar , J. Musić , I. Musienko , S. Nabili , A. Nagar , A. Nikitenko , D. Noonan , M. Noy , K. Nurdan , C. Ochando , B. Odegard , N. Odell , Y. Onel , W. Ortez , J. Ozegović , L. Pacheco Rodriguez , E. Paganis , D. Pagenkopf , V. Palladino , S. Pandey , F. Pantaleo , C. Papageorgakis , I. Papakrivopoulos , J. Parshook , N. Pastika , M. Paulini , P. Paulitsch , T. Peltola , R. Pereira Gomes , H. Perkins , P. Petiot , F. Pitters , F. Pitters , H. Prosper , M. Prvan , I. Puljak , T. Quast , R. Quinn , M. Quinnan , K. Rapacz , L. Raux , G. Reichenbach , M. Reinecke , M. Revering , A. Rodriguez , T. Romanteau , A. Rose , M. Rovere , A. Roy , P. Rubinov , R. Rusack , A. E. Simsek , U. Sozbilir , O. M. Sahin , A. Sanchez , R. Saradhy , T. Sarkar , M. A. Sarkisla , J. B. Sauvan , I. Schmidt , M. Schmitt , E. Scott , C. Seez , F. Sefkow , S. Sharma , I. Shein , A. Shenai , R. Shukla , E. Sicking , P. Sieberer , Y. Sirois , V. Smirnov , E. Spencer , A. Steen , J. Strait , T. Strebler , N. Strobbe , J. W. Su , E. Sukhov , L. Sun , M. Sun , C. Syal , B. Tali , U. G. Tok , A. Kayis Topaksu , C. L. Tan , I. Tastan , T. Tatli , R. Thaus , S. Tekten , D. Thienpont , T. Pierre-Emile , E. Tiras , M. Titov , D. Tlisov , J. Troska , Z. Tsamalaidze , G. Tsipolitis , A. Tsirou , N. Tyurin , S. Undleeb , D. Urbanski , V. Ustinov , A. Uzunian , M. van de Klundert , J. Varela , M. Velasco , M. Vicente Barreto Pinto , P. M. da Silva , T. Virdee , R. Vizinho de Oliveira , J. Voelker , E. Voirin , Z. Wang , X. Wang , F. Wang , M. Wayne , S. N. Webb , M. Weinberg , A. Whitbeck , D. White , R. Wickwire , J. S. Wilson , H. Y. Wu , L. Wu , C. H Yeh , R. Yohay , G. B. Yu , S. S. Yu , D. Yu , F. Yumiceva , A. Zacharopoulou , N. Zamiatin , A. Zarubin , S. Zenz , H. Zhang , J. Zhang

The procedures of validating simulation of particle physics events at the LHC are summarized. Because of the strongly fluctuating particle content of LHC events and detector interactions, particle based Monte Carlo methods are an…

History and Philosophy of Physics · Physics 2018-07-23 Peter Mättig

Using detailed simulations of calorimeter showers as training data, we investigate the use of deep learning algorithms for the simulation and reconstruction of particles produced in high-energy physics collisions. We train neural networks…

We discuss finite temperature quantum Monte Carlo methods in the framework of the interacting nuclear shell model. The methods are based on a representation of the imaginary-time many-body propagator as a superposition of one-body…

Nuclear Theory · Physics 2009-11-06 Y. Alhassid

Simulation-guided design represents a fundamental contribution towards the development of modern semiconductor devices aiming to reach high-performance particle detection, identification and tracking, and constitutes a strategic element of…

Instrumentation and Detectors · Physics 2025-05-12 Marco Mandurrino

The CMS Collaboration is preparing to build replacement endcap calorimeters for the HL-LHC era. The new high-granularity calorimeter (HGCAL) is, as the name implies, a highly-granular sampling calorimeter with approximately six million…

Instrumentation and Detectors · Physics 2022-12-21 Thorben Quast

We present CaloClouds3, a model for the fast simulation of photon showers in the barrel of a high granularity detector. This iteration demonstrates for the first time how a pointcloud model can employ angular conditioning to replicate…

Many experimentally-accessible, finite-sized interacting quantum systems are most appropriately described by the canonical ensemble of statistical mechanics. Conventional numerical simulation methods either approximate them as being coupled…

Strongly Correlated Electrons · Physics 2023-05-23 Tong Shen , Hatem Barghathi , Jiangyong Yu , Adrian Del Maestro , Brenda Rubenstein

We summarize a series of numerical experiments of collisional dynamics in dense stellar systems such as globular clusters (GCs) and in weakly collisional plasmas using a novel simulation technique, the so-called Multi-particle collision…

Quantum simulators could provide an alternative to numerical simulations for understanding minimal models of condensed matter systems in a controlled way. Typically, cold atom systems are used to simulate e.g. Hubbard models. In this paper,…

Strongly Correlated Electrons · Physics 2014-03-25 J. P. Hague , S. Downes , C. MacCormick , P. E. Kornilovitch

The early time dynamics of heavy ion collisions can be described by classical fields in an approximation of Quantum ChromoDynamics (QCD) called Color Glass Condensate (CGC). Monte-Carlo sampling of the color charge for the incoming nuclei…

Nuclear Theory · Physics 2017-05-24 Steven Rose , Rainer J. Fries

The new monte-carlo generator of heavy ion collisions, DCM-SMM, based on Dubna Cascade Model (DCM-QGSM) and Statistical Multifragmentation Model (SMM) is described. The model aimed to generate particle--nucleus and nucleus--nucleus…

Nuclear Theory · Physics 2020-07-15 M. Baznat , A. Botvina , G. Musulmanbekov , V. Toneev , V. Zhezher
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