Amy Byrnes

Advisor: Michael E. Papka

Mentor: Alaettin Serhan Mete

Undergraduate: University of Notre Dame (Computer Science and Physics)

Graduate: University of Illinois Chicago (Computer Science)

Project: Intelligent Lossy Compression for ATLAS Data

The LHC experiments have produced hundreds of petabytes of data. With the HL-LHC on the horizon, the rate at which this data is produced will soon increase. Disk space is, as ever, at a premium.
Compression of LHC data products has so far been accomplished through a combination of lossless algorithms and simple lossy techniques, such as bit truncation. These techniques have provided significant reductions in data volume. However, there are more sophisticated lossy compression techniques which are currently unused and untested on LHC data. The aim of this project is to determine the effectiveness of these "smart" lossy compression algorithms at reducing the volume of data produced by the ATLAS experiment.