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相关论文: Simulation Application for the LHCb Experiment

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The Compton Spectrometer and Imager (COSI) is an upcoming NASA Small Explorer satellite mission scheduled for launch in 2027 and designed to conduct an all-sky survey in the energy range of 0.2-5 MeV. Its instrument consists of an array of…

The ATLAS experiment at the Large Hadron Collider has a broad physics programme ranging from precision measurements to direct searches for new particles and new interactions, requiring ever larger and ever more accurate datasets of…

高能物理 - 实验 · 物理学 2024-11-25 ATLAS Collaboration

The ATLAS experiment has developed extensive software and distributed computing systems for Run 3 of the LHC. These systems are described in detail, including software infrastructure and workflows, distributed data and workload management,…

高能物理 - 实验 · 物理学 2025-07-17 ATLAS Collaboration

The Geant4 toolkit offers a rich variety of electromagnetic physics models; so far the evaluation of this Geant4 domain has been mostly focused on its physics functionality, while the features of its design and their impact on simulation…

A new computer program named CutLHCO is introduced, whose function is the implementation of generic data selection cuts on collider event specification files in the standardized .lhco format. This software is intended to fill an open market…

高能物理 - 唯象学 · 物理学 2012-07-17 Joel W. Walker

The Framework is one of the subprojects of the Joint COntrols Project (JCOP), which is collaboration between the four LHC experiments and CERN. By sharing development, this will reduce the overall effort required to build and maintain the…

仪器与探测器 · 物理学 2007-05-23 M. Gonzalez-Berges

A Gaussian process has been one of the important approaches for emulating computer simulations. However, the stationarity assumption for a Gaussian process and the intractability for large-scale dataset limit its availability in practice.…

统计方法学 · 统计学 2020-11-06 Chih-Li Sung , Benjamin Haaland , Youngdeok Hwang , Siyuan Lu

Event generators simulate particle interactions using Monte Carlo techniques, providing the primary connection between experiment and theory in experimental high energy physics. These software packages, which are the first step in the…

Although machine learning is increasingly applied in control approaches, only few methods guarantee certifiable safety, which is necessary for real world applications. These approaches typically rely on well-understood learning algorithms,…

机器学习 · 计算机科学 2020-06-16 Armin Lederer , Markus Kessler , Sandra Hirche

In this presentation the experiences of the LHC experiments using grid computing were presented with a focus on experience with distributed analysis. After many years of development, preparation, exercises, and validation the LHC (Large…

数据分析、统计与概率 · 物理学 2010-12-10 Ian Fisk

While visualization plays a crucial role in high-energy physics (HEP) experiments, the existing detector description formats including Geant4, ROOT, GDML, and DD4hep face compatibility limitations with modern visualization platforms. This…

高能物理 - 实验 · 物理学 2025-07-15 Tian-Zi Song , Kai-Xuan Huang , Yu-Jie Zeng , Ming-Hua Liao , Xue-Sen Wang , Yu-Mei Zhang , Zheng-Yun You

We present a novel Python tool for the analysis of Geant4 simulations that enhances our understanding of coherent phenomena occurring during the interaction of charged particles with crystal planes. This tool compares the total energy of…

Checkmate is a framework that allows the user to conveniently test simulated BSM physics events against current LHC data in order to derive exclusion limits. For this purpose, the data runs through a detector simulation and is then…

高能物理 - 唯象学 · 物理学 2015-06-03 Jong Soo Kim , Daniel Schmeier , Jamie Tattersall , Krzysztof Rolbiecki

The LHCb experiment stores around $10^{11}$ collision events per year. A typical physics analysis deals with a final sample of up to $10^7$ events. Event preselection algorithms (lines) are used for data reduction. Since the data are stored…

分布式、并行与集群计算 · 计算机科学 2019-02-08 D. Derkach , N. Kazeev , R. Neychev , A. Panin , I. Trofimov , A. Ustyuzhanin , M. Vesterinen

Lelaps is a fast detector simulation program which reads StdHep generator files and produces SIO or LCIO output files. It swims particles through detectors taking into account magnetic fields, multiple scattering and dE/dx energy loss. It…

仪器与探测器 · 物理学 2008-11-26 Willy Langeveld

Task-based execution frameworks, such as parallel programming libraries, computational workflow systems, and function-as-a-service platforms, enable the composition of distinct tasks into a single, unified application designed to achieve a…

分布式、并行与集群计算 · 计算机科学 2024-08-15 J. Gregory Pauloski , Valerie Hayot-Sasson , Maxime Gonthier , Nathaniel Hudson , Haochen Pan , Sicheng Zhou , Ian Foster , Kyle Chard

High energy physics detectors can be described hierarchically from the different subsystems to their divisions in r, phi, theta and to the individual readout channels. An identification schema that follows the logical decomposition of the…

计算物理 · 物理学 2007-05-23 C. Arnault , A. Schaffer

Sequential algorithms are popular for experimental design, enabling emulation, optimisation and inference to be efficiently performed. For most of these applications bespoke software has been developed, but the approach is general and many…

统计计算 · 统计学 2021-10-18 Matthew A. Fisher , Onur Teymur , Chris. J. Oates

We present a new version of the CompHEP program (version 4.4). We describe shortly new issues implemented in this version, namely, simplification of quark flavor combinatorics for the evaluation of hadronic processes, Les Houches Accord…

高能物理 - 唯象学 · 物理学 2008-11-26 E. Boos , V. Bunichev , M. Dubinin , L. Dudko , V. Ilyin , A. Kryukov , V. Edneral , V. Savrin , A. Semenov , A. Sherstnev

In this paper we report on LCG Monte Carlo Data Base (MCDB) and software which has been developed to operate MCDB. The main purpose of the LCG MCDB project is to provide a storage and documentation system for sophisticated event samples…

高能物理 - 唯象学 · 物理学 2011-04-11 S. Belov , L. Dudko , E. Galkin , A. Gusev , W. Pokorski , A. Sherstnev