News

Following nearly a decade of analysis, the CMS experiment has found that the W boson’s mass aligns perfectly with Standard Model predictions with remarkable accuracy.

Physicists on the CMS experiment announce the most elaborate mass measurement of a particle that is notoriously difficult to study and has captivated the physics community for decades.

The CMS experiment is developing a new type of trigger that looks for anomalies — one-in-a-billion events that show something new or unexpected.

During a ceremony at ICHEP, Ngadiuba’s contributions to ultra-fast machine learning techniques and anomaly detection were recognized by the International Union of Pure and Applied Physics.

Sudhir Malik reports on an initiative by the US CMS collaboration to increase opportunities for under-represented students in high-energy physics.

The CMS collaboration announced the observation of two photons creating two tau leptons in proton–proton collisions. This is the first time this process has been seen in proton–proton collisions using the precise capabilities of the CMS detector. It is also the most precise measurement of the tau’s anomalous magnetic moment and offers a new way to constrain the existence of new physics.

A former retail worker finds the confidence to pursue a career in STEM thanks to an internship program designed for students at small colleges.

The U.S. Department of Energy has given the green light for the U.S.-funded portion of the upgrades to the CMS experiment at CERN. The massive overhaul will prepare the experiment for the high-luminosity era of particle collisions at the Large Hadron Collider.

One of the big, recent innovations by the CMS collaboration—a new trigger installed in their experiment at the Large Hadron Collider—has produced its first data set. The analysis of this data has started. Scientists expect it will either reveal new physics or set more stringent limits in the search for long-lived particles.

As upgrades enable the LHC to produce more and more particle collisions, physicists are using machine learning to keep up with the growing task of sorting through everything.