The CHEP conferences address the computing, networking and software issues for the world’s leading data‐intensive science experiments that currently analyze hundreds of petabytes of data using worldwide computing resources. The Conference provides a unique opportunity for computing experts across Particle and Nuclear Physics to come together to learn from each other and typically attracts over 500 participants. The event features plenary sessions, parallel sessions, and poster presentations; it publishes peer-reviewed proceedings.

Our contribution link

SWAN (Service for Web-based ANalysis) is CERN’s Jupyter notebook service, giving access to data from EOS and CERNBox, software from CVMFS and connectivity to CERN Spark clusters.

The goal of this workshop is to share use cases among the community and for the SWAN team to learn in more detail how the service is used and how it should evolve to suit the users’ needs. https://indico.cern.ch/event/834069/

The new Machine Learning in High Energy Physics Community White Paper is out, To know more about it, go to https://arxiv.org/abs/1807.02876