Computing for Science and the Computation Lab

The Computing for Science (CS) group supports ILL scientists, students and visitors in a number of activities including data analysis, instrument simulation and sample simulation.

Past, present and future (2009)

Presentation by Mark Johnson at the Scientific Council, April 2009
COMPUTING FOR SCIENCE & COMPUTATION-LAB: PAST, PRESENT AND FUTURE

Data Analysis

A range of programs written in Fortran, Java, Matlab and IDL are developed and supported by CS. These codes are freely available and can be downloaded. We are also working with the Instrument Control group on the progressive introduction of a common, neutron scattering, data format, NeXus.

Instrument simulations

They are mainly of interest to instrument scientists wanting to improve existing instruments or to design new instruments. The most widely used simulation code, McStas, is jointly developed in CS and in Risoe.

Modelling

As samples studied by neutron scattering become more complex, atomistic sample simulations offer the possiblity of calculating neutron scattering spectra and profiles and providing detailed models, which allow experimental data to be more fully exploited. Classical and ab initio simulations can be performed on a wide range of systems. Simulations are performed mainly on local PC clusters, which are operated in collaboration with the IT group.

The Computation Lab (C-Lab) hosts scientists and students wanting to perform instrument and sample simulations and allows a broad spectrum of experience and tools to be brought together where the experiments are performed. From September 2007 simulations support can be requested along with neutron beamtime and accepted simulation work is performed by visitors in collaboration with the C-Lab.

Multimedia

The CS is also involved in the development of multimedia presentations of many aspects of ILL's life and facilities. This comprises the ILL Virtual Tour, CD-roms, movies, animations and PowerPoint or Keynote presentations.

Cluster and computers

SI and CS manage a computational cluster

To see the cpu usage of our cluster (Intranet access only)
http://helpdesk.ill.fr/clusterscpu.html

See the good Practice Guidelines

CS also offers some self service computers equiped with a set of useful software.

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This site was ported to Typo by Sylvie Crozel (2007).