CERN Accelerating science

ATLAS experiment

ATLAS and CMS experiments employ deep-learning methods in searching for rare processes and long-lived particles.

As the LHC prepares to enter an era of long luminosity and high statistics, the use of heterogeneous computing resources could help to optimize resources and prepare for future eperiments.

ATLAS and CMS joint bootcamp for analysis preservation

by Clemens Lange (CERN)


The joint analysis preservation bootcamp offered to the participants a hands-on experience on making their analyses reproducible using state-of-the-art software.


Advanced deep neural networks can have multiple applications in the design of high-granularity calorimeters for future experiments while some of the offered solutions can find applications beyond particle physics. 

AMVA4NewPhysics legacy in searches for new physics

by Anna Stakia (CMS, CERN)

The MSCA project AMVA4NewPhysics has made important contributions in developing advanced tools and training the next generation of scientists to work with vast amounts of data whether searching for new physics or developing industrial applications.

Re-discovering the Higgs boson in the Cloud

by Clemens Lange (CMS, CERN)

A collaborative effort between the ATLAS and CMS experiments with CERN's IT department enables rediscovering the Higgs boson within minutes using publicly available datasets and new computing tools.  

Exploring the Lifetime Frontier at the LHC and Beyond

by James Beacham (ATLAS Experiment, CERN)

As searches for long-lived particles attract more attention, different exprimental approaches and novel theoretical ideas emerge to guide future searches at the LHC and beyond.


RECAST: A framework for reinterpreting physics searches at the LHC

by Lukas Heinrich (ATLAS, CERN)

The ATLAS collaboration recently published their first paper using RECAST; a novel framework for data and analysis preservation that enable future re-interpretation of collected data and broadening experimental searches for new physics. 

Scientific data management with Rucio

by Martin Barisits (CERN), Mario Lassnig (CERN)

Presenting an open-source data management system for organizing, monitoring and accessing large volumes of distributed data. 


ATLAS and CMS collaborations presented over summer their latest results from Higgs boson decays to second generation fermions with LHC's Run 2 data.