CMS

The prodigious amount of data produced at the Large Hadron Collider presents a major challenge for data analysis. Coffea, a Python package developed by Fermilab researchers, speeds up computation and helps scientists work more efficiently. Around a dozen international LHC research groups now use Coffea, which draws on big data techniques used outside physics.

Later this decade, the Large Hadron Collider will be upgraded to the High-Luminosity LHC. What does “luminosity” mean in particle physics, and why measure it instead of collisions?

Scientists wrote over 1500 letters sharing what they hope the next decade of particle physics will bring. One motif: studying long-lived particles in a variety of ways — including an idea using a detector atop the CMS experiment at the Large Hadron Collider at CERN.

Once the most popular framework for physics beyond the Standard Model, supersymmetry is facing a reckoning — but many researchers are not giving up on it yet.

From Phys.org, Dec. 7, 2020: The CMS collaboration, a worldwide group of scientists studying particle collisions at CERN’s Large Hadron Collider, has recently observed the production of three massive gauge bosons in proton-proton collisions for the first time ever. Northwestern University postdoc and Fermilab Distinguished Researcher Saptaparna Bhattacharya talks about the triboson search.

From the CMS collaboration, Nov. 30, 2020: On Nov. 24, the CMS collaboration at CERN’s Large Hadron Collider announced the publication of the 1,000th paper in a peer-review journal, an exceptional achievement for a single experiment. Fermilab scientist Boaz Klima, CMS Publications Committee chair, is quoted.

A recent observation of an extremely rare subatomic process allows scientists to test the Standard Model’s boundaries.

Scientists working on experiments at the LHC are continually refining our understanding of the fundamental constituents of our universe. Every measurement, every new, uncovered facet of a subatomic particle comes only after a thorough and rigorous analysis of the data. The way they access that data may soon get an upgrade at Fermilab, where CMS collaborators recently installed a new solid-state technology at its computing facility. The technology will complement the standard spinning-disk hard drives that have been the dominant computer storage devices for the last several decades.

Fermilab scientists have implemented a cloud-based machine learning framework to handle data from the CMS experiment at the Large Hadron Collider. Now they can begin to use graph neural networks to boost their pattern recognition abilities in the search for new particles.

From CERN Courier, Sept. 9, 2020: The first ICHEP meeting since the publication of the update of the European strategy for particle physics covered Higgs and neutrino physics, including results from the CMS collider experiment and the DUNE, NOvA and MicroBooNE neutrino experiments.