CMS

The Big Bang Science Fair brings science communication and outreach to an arts festival in Rhode Island. The event is filled with presentations, workshops and hands-on activities covering a wide range of scientific disciplines. It makes its second appearance later this month.

Working on hardware doesn’t come easily to all physicists, but Francesca Ricci-Tam has learned that what matters most is a willingness to put in the practice.

For years, U.S. institutions have been working to upgrade the hardware in the behemoth CMS particle detector at the Large Hadron Collider, enabling it to profit fully from the LHC’s increasing collision energy and intensity. With CD-4 approval, the Department of Energy formally recognized that the USCMS collaboration, managed by Fermilab, met every stated goal of the upgrade program — on time and under budget.

From MIT News, Aug. 19, 2019: A new prototype machine-learning technology co-developed by Fermilab and MIT scientists speeds Large Hadron Collider data processing by up to 175 times over traditional methods.

A new machine learning technology tested by Fermilab scientists and collaborators can spot specific particle signatures among an ocean of LHC data in the blink of an eye, much faster than standard methods. Sophisticated and swift, its performance gives a glimpse into the game-changing role machine learning will play in making future discoveries in particle physics as data sets get bigger and more complex.

From Texas Tech Today, Aug. 5, 2019: Texas Tech physicists have been looking for dark matter at the CMS experiment at CERN and studying neutrinos.

Tran’s $2.5 million award will fund the development of new ways to handle the massive amounts of data that particle physics produces and to expand investigations of Higgs boson physics.

A pioneer in particle physics and high-performance computing, Fermilab has launched HEPCloud, a cloud computing service that will enable the lab’s demanding experiments to make the best, most efficient use of computing resources. This flagship project lets experiments rent computing resources from external sources during peak demand, reducing the costs of providing for local resources while also providing failsafe redundancy.

From CERN, May 24, 2019: The CMS collaboration used a large proton–proton collision dataset, collected during the Large Hadron Collider’s second run, to search for instances in which the Higgs boson might transform, or “decay”, into a photon and a massless dark photon.

With the warmth of holiday cheer in the air, some physicists decided to hit the pub after a conference in December 2014 and do what many physicists tend to do after work: keep talking about physics. That evening’s topic of conversation: dark energy particles. The chat would lead to a new line of investigation at the Large Hadron Collider at CERN. Every second, the universe grows a little bigger. Scientists are using the LHC to try to find out why.