We are in a golden age for distributed data processing, with an abundance of tools and solutions emerging from industry and open source. High Energy Physics (HEP) experiments at the LHC stand to profit from all this progress, as they are data-intensive operations with several hundreds of Petabytes of data to collect and process.
Topic: This post describes a data pipeline for a machine learning task of interest in high energy physics: building a particle cla
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