CERN Accelerating science

SoFTware development for experiments group

How to Generate Highest Quality Random Numbers

by Frederick James (CERN)

A study of the behaviour of pseudorandom number generators sheds new light on the conditions and properties of the computer algorithms currently used in high-energy physics but not only.

First SWAN workshop at CERN

by Enric Tejedor Saavedra (CERN)

The meeting offered the opportunity to share use experiences and better understand how the service is used and how it could evolve to suit the community needs.

CernVM 2019 Workshop

by Jakob Blomer (CERN)

From 3 to 5 June, the 2019 CernVM Workshop took place at CERN bringing together software developers, computing experts and experts from the IT industry. 

HL-LHC computational challenge for ATLAS and CMS experiments

by Tommaso Boccali (INFN and CERN) Davide Costanzo (Sheffield U and CERN)

Discussing the computing models and future resource needs for ATLAS and CMS experiments and the possibilities opened up by quantum computing.

 

ROOT 10th workshop: Fun with Data

by Danilo Piparo for the ROOT team

A report from the 10th ROOT users workshop that took place in Sarajevo from 10th to 13th of September.

Following previous year's successful participation, CERN participated again in GSoC, helping the community of developers working for HEP to find new contributors and to produce even more code.

The ROOT users workshop will take place from 10th to 13th of September 2018, in Sarajevo, offering the opportunity to discuss the future of ROOT.

HL-LHC and future colliders call for more sophisticated experimental technologies. CERN has launched a process to define its R&D programme on new experimental technologies from 2020 onwards.

CernVM turns ten!

by Jakob Blomer, Gerardo Ganis

The 3rd CernVM users workshop brought together users, developers and industry speakers to discuss the current status of the CernVM ecosystem and future directions

The High Luminosity LHC programme not only pushes the frontiers of accelerator and detector technology, but it also brings enormous challenges to the software and computing that is used to turn high luminosity data into physics. 

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