CMS

Deep Neural Networks for particle reconstruction in high-granularity calorimeters

Precision measurements in high energy physics as well as an increasing amount of searches for new phenomena rely on a precise reconstruction of the event that caused a particular signature in the detector. Particle ﬂow algorithms [1, 2, 3, 4] aim to…

AMVA4NewPhysics legacy in searches for new physics

*/ A couple of months ago, the four-year life cycle of AMVA4NewPhysics, a Horizon2020-funded Marie Skłodowska-Curie Innovative Training Network (ITN), in which CERN participated as one of the member institutions, was completed. With the…

Precision timing upgrade of the CMS detector

Soon after 2027, the LHC will enter the high luminosity era, known as HL-LHC. It will begin operations at a stable luminosity of 5.0×1034 cm−2 s−1, resulting in much higher collision rates than currently achievable, but with a pileup of 140…

Re-discovering the Higgs boson in the Cloud

It’s hard to believe that it has already been more than seven years since the discovery of the Higgs boson. Since then, numerous papers have been published by the ATLAS and CMS collaborations measuring the long-awaited particle’s properties in…

CMS Open data in use

“[...] The release of data could create a community of users which may be nurtured through regular events organized by CMS.[...]” This is a phrase in the CMS data preservation, re-use and open access policy, which was first approved seven and…

A new home for GEM detectors at CERN

Since the beginning of 2019, a new building at CERN is ready to house ongoing R&D activities that will push the performance of detectors to cope with the high performance of the LHC. Building No.107 (replacing the building 102) offers a…

The GEMs of CMS

To prepare for the higher collision energy and luminosity of the subsequent running period of the LHC significant improvements are ongoing in the CMS detector. One of the planned upgrades is the installation of large-area GEM detectors in the…

CMS Trigger: Lessons from LHC Run 2

The CMS experiment has a two-level trigger system [1], to reduce the number of events stored from the LHC bunch crossing rate of 40 MHz to around 1 kHz. The first level (the Level-1) uses custom electronics to reduce the rate of events to 100 kHz,…

Can AI help us to find tracks?

Data science (DS) and machine learning (ML) are amongst the fastest growing sectors in science and technology, not at least due to their strong rooting in industrial and commercial applications. Global players such as Google, Facebook and Amazon…

Removal of the CMS beam pipe during Long Shutdown 2

The CMS detector is built from several different layers, surrounding the beam pipe in which the LHC beams collide. The subdetector that is closest to the collisions is the pixel detector. It has a functionality similar to a digital camera taking 40…

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