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相关论文: A Brief Introduction to PYTHIA 8.1

200 篇论文

We present recent developments in PYTHIA for the modelling of hadronic cascades in a medium. Several improvements have been made in the Angantyr model for collisions with nuclei, especially in the limit of low collision energies, allowing…

高能物理 - 唯象学 · 物理学 2025-12-16 Leif Lönnblad , Torbjörn Sjöstrand

We introduce a method for matching the neutral-current deep inelastic scattering process with parton showers at first order in the strong coupling. This multiplicative matching is achieved by reweighting leading-order Born-level events and…

高能物理 - 唯象学 · 物理学 2026-05-13 Ilkka Helenius , Joni O. Laulainen , Christian T. Preuss

We present an overview of the options for diffraction implemented in the general--purpose event generator Pythia 8. We review the existing model for low-- and high--mass soft diffraction and present a new model for hard diffraction in pp…

高能物理 - 唯象学 · 物理学 2015-09-11 Christine O. Rasmussen

For more than 20 years, the community has heavily relied on CORSIKA for the simulation of extensive air showers, their Cherenkov light emission and their radio signals. While tremendously successful, the Fortran-based monolithic design of…

天体物理仪器与方法 · 物理学 2022-10-31 Tim Huege

The Fortran-versions of the CORSIKA air shower simulation code have been at the core of simulations for many astroparticle physics experiments for the last 30 years. Having grown over decades into an ever more complex software,…

高能天体物理现象 · 物理学 2022-11-30 Alexander Sandrock

The Pythia event generator is used in several contexts to study hadron and lepton interactions, notably $pp$ and $p\bar{p}$ collisions. In this article we extend the hadronic modelling to encompass the collision of a wide range of hadrons…

高能物理 - 唯象学 · 物理学 2022-01-26 Torbjörn Sjöstrand , Marius Utheim

Software development in high energy physics experiments offers unique experience with rapidly changing environment and variety of different standards and frameworks that software must be adapted to. As such, regular methods of software…

高能物理 - 唯象学 · 物理学 2010-09-21 Tomasz Przedzinski

An overview is given of general-purpose event generators, especially PYTHIA and HERWIG. The current status is summarized, some recent physics improvements are described, and planned future projects are outlined.

高能物理 - 唯象学 · 物理学 2007-05-23 T. Sjöstrand , M. H. Seymour

Understanding the production of quarks and gluons in high energy collisions and their evolution is a very active area of investigation. Monte carlo event generator PYTHIA8 uses the parton shower model to simulate such collisions and is…

高能物理 - 唯象学 · 物理学 2021-02-26 S. K. Kundu , T. Sarkar , M. Maity

We present an overview of the options for diffraction implemented in the general-purpose event generator Pythia 8. We review the existing model for soft diffraction and present a new model for hard diffraction. Both models use the Pomeron…

高能物理 - 唯象学 · 物理学 2015-12-21 Christine O. Rasmussen

The fractal and phase transitional properties of each type of pions (i.e. $\pi^{\pm,0}$) through one-dimensional $\eta-$space, at an energy of $\sqrt{s}=13~$TeV, have been studied with the help of the Scaled Factorial Moment (SFM)…

高能物理 - 唯象学 · 物理学 2024-09-05 Tumpa Biswas , Dibakar Dhar , Azharuddin Ahmed , Prabir Kumar Haldar , Abdel Nasser Tawfik

We review the physics basis, main features and use of general-purpose Monte Carlo event generators for the simulation of proton-proton collisions at the Large Hadron Collider. Topics included are: the generation of hard-scattering matrix…

We have developed an event generator, named GR@PPA_4b, for the four bottom quark (b bbar b bbar) production processes at PP and PPbar collisions. The program implements all of the possible processes at the tree level within the framework of…

高能物理 - 唯象学 · 物理学 2011-03-23 S. Tsuno , K. Sato , J. Fujimoto , T. Ishikawa , Y. Kurihara , S. Odaka , Y. Takaiwa , T. Abe

High-quality simulated data is crucial for particle physics discoveries. Therefore, parton shower algorithms are a major building block of the data synthesis in event generator programs. However, the core algorithms used to generate parton…

高能物理 - 唯象学 · 物理学 2022-11-09 Gösta Gustafson , Stefan Prestel , Michael Spannowsky , Simon Williams

"Hybrid Hadronization" is a new Monte Carlo package to hadronize systems of partons. It smoothly combines quark recombination applicable when distances between partons in phase space are small, and string fragmentation appropriate for…

We have updated the parton and hadron cascade model PACIAE 2.0 for relativistic nuclear collisions (cf. Comput. Phys. Comm. 183(2012)333) to the new issue of PACIAE 2.1. The PACIAE model is based on PYTHIA. In the PYTHIA model, once the…

核理论 · 物理学 2015-06-05 Ben-Hao Sa , Dai-Mei Zhou , Yu-Liang Yan , Bao-Guo Dong , Xu Cai

The lepton-proton collisions produced at the HERA collider represent a unique high energy physics data set. A number of years after the end of collisions, the data collected by the H1 experiment, as well as the simulated events and all…

高能物理 - 实验 · 物理学 2021-09-08 Daniel Britzger , Sergey Levonian , Stefan Schmitt , David South

This thesis describes the development of two independent computer programs, Herwig++ and Effective. Both of these programs are used for phenomenological predictions of high energy physics. Herwig++ is used to simulate events as measured at…

高能物理 - 唯象学 · 物理学 2007-05-23 Philip Stephens

Increasingly, with the data collected at the LHC we are confronted with the possible existence of flow in pp collisions. In this work we show that PYTHIA 8 produces flow-like effects in events with multiple hard subcollisions due to color…

高能物理 - 唯象学 · 物理学 2013-08-08 Antonio Ortiz , Peter Christiansen , Eleazar Cuautle , Ivonne Maldonado , Guy Paic

We introduce a parton and hadron cascade model PACIAE 3.0 based on PYTHIA 6.428 and the PACIAE 2.2 program series. The simulation framework of C-, B-, and A-loops are designed for the high energy ($\sqrt{s_{NN}}\geq 3$ GeV) and low energy…

高能物理 - 唯象学 · 物理学 2023-09-12 An-Ke Lei , Yu-Liang Yan , Dai-Mei Zhou , Zhi-Lei She , Liang Zheng , Gao-Chan Yong , Xiao-Mei Li , Gang Chen , Xu Cai , Ben-Hao Sa