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LHCb computing : Technical Design Report

R. Antunes Nobrega, +634 more
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TLDR
HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not, which may come from teaching and research institutions in France or abroad, or from public or private research centers.
Abstract
HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés. LHCb Computing Technical Design Report R. Antunes Nobrega, A. Franca Barbosa, I. Bediaga, G. Cernicchiaro, E. Correa de Oliveira, J. Magnin, L. Manhaes de Andrade Filho, J. Marques de Miranda, H. Pessoa Lima Junior, A. Reis, et al.

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Citations
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Journal ArticleDOI

The LHCb Simulation Application, Gauss: Design, Evolution and Experience

TL;DR: The Gauss simulation application as mentioned in this paper is based on the Gaudi framework and on experiment basic components such as the Event Model and Detector Description, which is used both directly by users and in massive central productions on the grid.
Proceedings ArticleDOI

Handling of the generation of primary events in Gauss, the LHCb simulation framework

TL;DR: In this article, the LHCb simulation application consists of two independent phases, the generation of the primary event and the tracking of particles produced in the experimental setup, and the design of the generator phase of Gauss is described: a modular structure with well defined interfaces specific to the various tasks, e.g. pp collisions, particles' decays, selections, etc.
Journal ArticleDOI

A Comprehensive Perspective on Pilot-Job Systems

TL;DR: A comprehensive analysis of Pilot-Jobs systems is presented in this paper, with a focus on the motivations, evolution, properties, and implementation of PilotJobs, and an outline of the Pilot abstraction, its distinguishing logical components and functionalities, its terminology and its architecture pattern.
Journal ArticleDOI

If these data could talk.

TL;DR: There is a lack of formalism used when describing end-to-end published results, from the data source to the analysis to the final published results that contributes to issues of reproducibility.
References
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Journal ArticleDOI

ROOT — An object oriented data analysis framework

TL;DR: ROOT, written in C++, contains an efficient hierarchical OO database, a C++ interpreter, advanced statistical analysis (multi-dimensional histogramming, fitting, minimization, cluster finding algorithms) and visualization tools.
Journal ArticleDOI

The EvtGen particle decay simulation package

TL;DR: The EvtGen package as discussed by the authors provides a framework for the implementation of physics processes relevant to decays of B mesons and other resonances, including time dependent CP asymmetries in neutral B meson decays, semileptonic form-factor models, and a full decay table for B decays.
Journal ArticleDOI

High-energy physics event generation with PYTHIA 6.1

TL;DR: Pythia version 6 represents a merger of the Pythia 5, Jetset 7 and SPythia programs, with many improvements as discussed by the authors, which can be used to generate high-energy physics events.
Book

Modern C++ design: generic programming and design patterns applied

TL;DR: This book introduces the concept of generic components, which enable an easier and more seamless transition from design to application code, generate code that better expresses the original design intention, and support the reuse of design structures with minimal recoding within C++.
Journal ArticleDOI

GAUDI — A software architecture and framework for building HEP data processing applications

TL;DR: This work presents a software architecture and framework that can be used to facilitate the development of data processing applications for High Energy Physics experiments that can withstand changes in requirements and technology over the long lifetimes of experiments.
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