Tag: CMS
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Artificial neural networks shed light on rare SM processes.
Artificial neural networks shed light on rare SM processes. In a new paper released last month, the ATLAS Collaboration reported the observation of a single top quark produced in association with a Z boson (tZq) using the full Run-2 dataset, thereby confirming earlier results by ATLAS and CMS using smaller datasets. As reported in an
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Towards high-precision luminosity for CMS in Run 3 and beyond
Towards high-precision luminosity for CMS in Run 3 and beyond Luminosity is a key parameter for any collider-based high energy physics experiment as it links the interaction rates observed in an experiment to the cross sections of physics processes. Therefore, it is a key ingredient to most major analyses performed at an experiment and the
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Heterogeneous computing efforts for high-energy physics experiments
Heterogeneous computing efforts for high-energy physics experiments Substantial improvements to the current experiments at the LHC are underway, and new experiments are being proposed or discussed at future energy-frontier accelerators to answer fundamental questions in particle physics. At future hadron colliders, complex silicon vertex trackers (3D and 4D) and highly granular calorimeters must operate in
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ATLAS and CMS joint bootcamp for analysis preservation
ATLAS and CMS joint bootcamp for analysis preservation Last month, 30 young graduate students and postdocs gathered at CERN to attend the first joint ATLAS+CMS analysis preservation bootcamp, organised by Sam Meehan, Clemens Lange, Lukas Heinrich (CERN), and Savannah Thais (Princeton). Over the course of three days, the workshop participants learnt through hands-on tutorials and
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Deep Neural Networks for particle reconstruction in high-granularity calorimeters
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 identify individual particles before
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AMVA4NewPhysics legacy in searches for new physics
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 ultimate objective of searching ways which would improve the measurement and search sensitivity of the
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Precision timing upgrade of the CMS detector
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 collisions during a bunch crossing. In an
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Re-discovering the Higgs boson in the Cloud
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 detail. Have you ever wondered whether one could repeat
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Exploring the Lifetime Frontier at the LHC and Beyond
Exploring the Lifetime Frontier at the LHC and Beyond By any reasonable measure, the first ten years of the LHC have been an unmitigated success. But are we exploring everywhere in our data? The overwhelming majority of the searches for particles beyond the Standard Model (BSM) conducted at ATLAS and CMS, for example, assume that
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CMS Open data in use
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 half years ago. Now five years after the