2,000 research outputs found
A case study for the handling of data in a skimming control system
This work focuses on the architectural,methodological and technological aspect of handling huge amounts of data. In this summary we particularly focus our attention on the description of a special system built to support large scale data access. The work comes from the need to develop a special purpose skimming control system; this system has been designed as a collaboration between the Stanford Linear Accelerator Center (SLAC, USA), and the Istituto Nazionale di Fisica Nucleare (INFN, National Istitute of Nuclear Physic, Padua, Italy). The goal was to provide the handle of more than 107 files, representing Physics data collected by the BaBar experiment
SuperB Computing R&D Workshop, Ferrara 9-12 March 2010
The workshop will explore the R&D activities for developing the Computing Model of the SuperB experiment. It is mainly focused on the following topics:
Impact of new CPU architecture
Software architecture and framework
Code development: languages, tools, standards and QA
Persistence and data handling models
Databases
User tools and interfaces
Distributed computing, GRID
Performance and efficiency of large storage system
SuperB Computing R&D Workshop, Ferrara, 4 - 7 July, 2011
The workshop is focused on the following topics:
New CPU/GPU architectures
Software frameworks and architectures
Code development: languages, tools, standards and QA
Distributed computing, GRID and Cloud
Performance and efficiency of large storage system
SuperB R&D computing program: HTTP direct access to distributed resources
The SuperB asymmetric energy e+e- collider and detector to be built at the newly founded Nicola Cabibbo Lab will provide a uniquely sensitive probe of New Physics in the flavor sector of the Standard Model. Studying minute effects in the heavy quark and heavy lepton sectors requires a data sample of 75 ab-1 and a luminosity target of 10 36cm-2s-1. The increasing network performance also in the Wide Area Network environment and the capability to read data remotely with good efficiency are providing new possibilities and opening new scenarios in the data access field. Subjects like data access and data availability in a distributed environment are key points in the definition of the computing model for an HEP experiment like SuperB. R&D efforts in such a field have been brought on during the last year in order to release the Computing Technical Design Report within 2013. WAN direct access to data has been identified as one of the more interesting viable option; robust and reliable protocols as HTTP/WebDAV and xrootd are the subjects of a specific R&D line in a mid-term scenario. In this work we present the R&D results obtained in the study of new data access technologies for typical HEP use cases, focusing on specific protocols such as HTTP and WebDAV in Wide Area Network scenarios. Reports on efficiency, performance and reliability tests performed in a data analysis context have been described. Future R&D plan includes HTTP and xrootd protocols comparison tests, in terms of performance, efficiency, security and features available
“Progetto Cuore 99”: prevalenza dei fattori di rischio per le cardiopatie ischemiche in un campione di popolazione adulta.
First Results from the SuperB Simulation Production System
The SuperB experiment needs large samples of Monte-Carlo simulated events in order to finalize the detector design and to estimate the data analysis performances. This work describes the system we developed to manage the production of the required simulated events in a fully distributed environment. The distributed infrastructure includes several sites in Europe and North America and is based on Grid services. The production of simulated events consists of: distribution of input data files to the remote site Storage Elements (SE), job submission to all available remote sites, output data transfer to the INFN-CNAF repository. The job workflow includes procedures for consistency checking, monitoring, data handling and bookkeeping metadata communication. A data bookkeeping system has been implemented in order to maintain the information associated to data files and keep track of the relations between executed jobs and their parameters and outputs. The distributed production system is operational since February 2010. Results from the first production cycles (Spring 2010 and Summer 2010) are reported
The laser calibration system of the TOP detector
The TOP detector at the Belle II Experiment is a particle identification detector, devoted mainly to the separation of charged pions and kaons. The charged particles emit Cherenkov photons when traversing a quartz radiator and these photons are converted inside micro-channel plates photomultipliers. The time of arrival and position of the photoelectrons, detected with excellent spatial and time resolution, are used to reconstruct the angle of the Cherenkov light emitted by the charged particle. The monitoring of the time stability and the measurement of the quantum efficiency of the photomultipliers are performed with a laser calibration system, with a target time resolution better than 50 ps. The system is a combination of a picosecond laser source, long single mode fibers, fiber bundles, and microlenses, which are needed to illuminate all the channels of the photomultipliers. A detailed description of the laser calibration system and its properties is given
The distributed production system of the SuperB project: description and results
The SuperB experiment needs large samples of MonteCarlo simulated events in order to finalize the detector design and to estimate the data analysis performances. The requirements are beyond the capabilities of a single computing farm, so a distributed production model capable of exploiting the existing HEP worldwide distributed computing infrastructure is needed. In this paper we describe the set of tools that have been developed to manage the production of the required simulated events. The production of events follows three main phases: distribution of input data files to the remote site Storage Elements (SE); job submission, via SuperB GANGA interface, to all available remote sites; output files transfer to CNAF repository. The job workflow includes procedures for consistency checking, monitoring, data handling and bookkeeping. A replication mechanism allows storing the job output on the local site SE. Results from 2010 official productions are reported
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