The team that discovered the Higgs boson has switched to a more powerful data analysis program and is waiting for new discoveries in fundamental physics

Scientific Association ATLAS passed for an updated version of the software for offline data analysis (Athena). The new software is faster, takes up less memory space and has a ton of new tools for evaluating physics experiments at the LHC. With its help, the most complex processes in the collider will be detailed with previously impossible precision, which will help make new discoveries in physics.

The ATLAS sensor, which received data to detect the Higgs boson.  Image source: CERN

The ATLAS sensor that received data to detect the Higgs boson. Image source: CERN

At the moment, the updated software has begun to re-analyze the data from the LHC detectors, obtained in the period from 2015 to 2018. The processing is faster and allows not only to find new particle tracks in the collision results, but also helps to calibrate the sensors more accurately for future experiments. So, if earlier the tracks on the periphery of the sensors were very difficult to track due to the high load on the computing power, then the modernized database and the program do it many times faster and with lower resource costs. On the periphery, particles can be hidden that science does not yet suspect.

“Our goal was to significantly reduce the amount of memory required to run the software, expand the types of physical analysis it can perform and, most importantly, enable the analysis of current and future ATLAS datasets together. Said Zach Marshall, ATLAS Computing Coordinator. “These enhancements are a key part of our preparation for future high-intensity LHC operations, in particular the launch of the High Luminosity LHC (HL-LHC), which is expected around 2028, during which ATLAS computing resources will be in huge demand.”

The volume of ATLAS Run2 research data obtained over three years reaches 18 PB. And this number will only grow. In order for physicists to understand what is happening at accelerators, the raw data must be interpreted to more or less understandable values. All this requires colossal computational resources, and optimization, including multithreading, makes it possible. The archives may well hide discoveries that have so far escaped the attention of scientists and which can change a lot in fundamental physics and in our understanding of the structure of the world.

About the author

Robbie Elmers

Robbie Elmers is a staff writer for Tech News Space, covering software, applications and services.

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