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The new version 2.1 of the program SecDec is described, which can be used for the factorisation of poles and subsequent numerical evaluation of multi-loop integrals, in particular massive two-loop integrals. The program is not restricted to…

高能物理 - 唯象学 · 物理学 2015-06-17 Sophia Borowka , Gudrun Heinrich

The recently developed quantum mechanical string+${}^3P_0$ model of polarized quark fragmentation with pseudoscalar and vector meson production has been implemented in a stand alone Monte Carlo program. The simulation enables the detailed…

高能物理 - 唯象学 · 物理学 2023-01-18 Albi Kerbizi , Xavier Artru , Anna Martin

We consider a wide range of matrix models and study them using the Monte Carlo technique in the large $N$ limit. The results we obtain agree with exact analytic expressions and recent numerical bootstrap methods for models with one and two…

高能物理 - 理论 · 物理学 2022-04-05 Raghav G. Jha

We introduce a new, fully massive, Monte Carlo program to compute all four-fermion processes in electron-positron collisions, including Higgs production. We outline our strategy for the matrix element evaluation, the phase space generation…

高能物理 - 唯象学 · 物理学 2007-05-23 F. A. Berends , C. G. Papadopoulos , R. Pittau

In this paper the current release of the Monte Carlo event generator Sherpa, version 1.1, is presented. Sherpa is a general-purpose tool for the simulation of particle collisions at high-energy colliders. It contains a very flexible…

高能物理 - 唯象学 · 物理学 2009-02-12 T. Gleisberg , S. Hoeche , F. Krauss , M. Schoenherr , S. Schumann , F. Siegert , J. Winter

We investigate the inclusion of variable spins in electronic structure quantum Monte Carlo, with a focus on diffusion Monte Carlo with Hamiltonians that include spin-orbit interactions. Following our previous introduction of fixed-phase…

计算物理 · 物理学 2016-07-27 Cody A. Melton , M. Chandler Bennett , Lubos Mitas

We introduce the new version of SimProp, a Monte Carlo code for simulating the propagation of ultra-high energy cosmic rays in intergalactic space. This version, SimProp v2r3, allows the choice of many more models for the extragalactic…

高能天体物理现象 · 物理学 2016-02-12 Roberto Aloisio , Denise Boncioli , Armando di Matteo , Aurelio Grillo , Sergio Petrera , Francesco Salamida

We present a method which extends Monte Carlo studies to situations that require a large dynamic range in particle number. The underlying idea is that, in order to calculate the collisional evolution of a system, some particle interactions…

天体物理学 · 物理学 2009-11-13 C. W. Ormel , M. Spaans

In this paper, we present a parallel algorithm for Monte Carlo simulation of the 2D Ising Model to perform efficiently on a cluster computer using MPI. We use C++ programming language to implement the algorithm. In our algorithm, every…

计算物理 · 物理学 2018-11-13 Dariush Hassani , Shahnoosh Rafibakhsh

Carlo is a Monte Carlo simulation framework written in Julia. It provides MPI-parallel scheduling, organized storage of input, checkpoint, and output files, as well as statistical postprocessing. With a minimalist design, it aims to aid the…

计算物理 · 物理学 2025-02-12 Lukas Weber

Heavy-ion collisions can be simulated by means of comprehensive approaches, to include the many different reaction mechanisms which may contribute. QMD models and their relativistic extensions are examples of these approaches based on Monte…

The version 3.01 of ELMAG, a Monte Carlo program for the simulation of electromagnetic cascades initiated by high-energy photons and electrons interacting with extragalactic background light (EBL), is presented. Pair production and inverse…

高能天体物理现象 · 物理学 2020-05-20 M. Blytt , M. Kachelriess , S. Ostapchenko

We consider the impact of varying alpha_s choices (and scales) on each side of the so-called "matching scale" in MLM-matched matrix-element + parton-shower predictions of collider observables. We explain how inconsistent prescriptions can…

高能物理 - 唯象学 · 物理学 2015-05-30 B. Cooper , J. Katzy , M. L. Mangano , A. Messina , L. Mijovic , P. Skands

The shell-model Monte Carlo (SMMC) technique transforms the traditional nuclear shell-model problem into a path-integral over auxiliary fields. We describe below the method and its applications to four physics issues: calculations of sdpf-…

核理论 · 物理学 2009-10-31 D. J. Dean , J. A. White

SPARKX is an open-source Python package developed to analyze simulation data from heavy-ion collision experiments. By offering a comprehensive suite of tools, SPARKX simplifies data analysis workflows, supports multiple formats such as…

数据分析、统计与概率 · 物理学 2026-02-02 Nils Sass , Hendrik Roch , Niklas Götz , Renata Krupczak , Carl B. Rosenkvist

We present version 2.1 of the public code {\sc precession}, a Python module for studying the post-Newtonian dynamics of precessing black hole binaries. In this release, we extend the code to handle eccentric orbits. This extension leverages…

广义相对论与量子宇宙学 · 物理学 2026-04-13 Giulia Fumagalli , Davide Gerosa , Nicholas Loutrel

We present \texttt{ESpinS} (Esfahan Spin Simulation) package to evaluate the thermodynamic properties of spin systems described by a spin model Hamiltonian. In addition to the Heisenberg exchange term, the spin Hamiltonian can contain…

计算物理 · 物理学 2021-08-17 Nafise Rezaei , Mojtaba Alaei , Hadi Akbarzadeh

We describe the hardwired implementation of algorithms for Monte Carlo simulations of a large class of spin models. We have implemented these algorithms as VHDL codes and we have mapped them onto a dedicated processor based on a large FPGA…

Particle-based kinetic Monte Carlo simulations of neutral particles is one of the major computational bottlenecks in tokamak scrape-off layer simulations. This computational cost comes from the need to resolve individual collision events in…

计算工程、金融与科学 · 计算机科学 2026-03-27 Oskar Lappi , Emil Løvbak , Thijs Steel , Giovanni Samaey

Diffusion Monte Carlo is one of the most accurate scalable many-body methods for solid state systems. However, to date, spin-orbit interactions have not been incorporated into these calcualtions at a first-principles level; only having been…

材料科学 · 物理学 2020-03-04 Yueqing Chang , Lucas K. Wagner