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I. Legrand

Researcher at California Institute of Technology

Publications -  48
Citations -  11060

I. Legrand is an academic researcher from California Institute of Technology. The author has contributed to research in topics: Grid computing & Grid. The author has an hindex of 15, co-authored 48 publications receiving 10384 citations. Previous affiliations of I. Legrand include University of Victoria.

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Journal ArticleDOI

Observation of a new boson at a mass of 125 GeV with the CMS experiment at the LHC

S. Chatrchyan, +2863 more
- 17 Sep 2012 - 
TL;DR: In this paper, results from searches for the standard model Higgs boson in proton-proton collisions at 7 and 8 TeV in the CMS experiment at the LHC, using data samples corresponding to integrated luminosities of up to 5.8 standard deviations.
Journal ArticleDOI

The ALICE experiment at the CERN LHC

K. Aamodt, +1154 more
TL;DR: The Large Ion Collider Experiment (ALICE) as discussed by the authors is a general-purpose, heavy-ion detector at the CERN LHC which focuses on QCD, the strong-interaction sector of the Standard Model.

CMS Physics : Technical Design Report Volume 1: Detector Performance and Software

G. L. Bayatian, +1997 more
Proceedings ArticleDOI

The Grid2003 production grid: principles and practice

Ian Foster, +101 more
TL;DR: The Grid2003 Project has deployed a multivirtual organization, application-driven grid laboratory that has sustained for several months the production-level services required by physics experiments of the Large Hadron Collider at CERN, the Sloan Digital Sky Survey project, the gravitational wave search experiment LIGO, the BTeV experiment at Fermilab, as well as applications in molecular structure analysis and genome analysis, and computer science research projects in such areas as job and data scheduling.
Journal ArticleDOI

MonALISA: An agent based, dynamic service system to monitor, control and optimize distributed systems ☆

TL;DR: The MonALISA framework provides a set of distributed services for monitoring, control, management and global optimization for large scale distributed systems based on an ensemble of autonomous, multi-threaded, agent-based subsystems which are registered as dynamic services.