Tag: LHC
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EP R&D Day 2026: technologies for the next generation of experiments
EP R&D Day 2026: technologies for the next generation of experiments On 29 April 2026, colleagues from across CERN’s Experimental Physics Department gathered for the annual meeting dedicated to the strategic EP R&D programme on technologies for future experiments. The programme offered a broad update on progress achieved over the past year, bringing together developments
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AI for Gravitational Waves: Building Bridges Between Scientific Communities
AI for Gravitational Waves: Building Bridges Between Scientific Communities As gravitational-wave observatories enter a new phase of sensitivity, scale and scientific ambition, the challenge is no longer only to detect faint ripples in spacetime. It is also to analyse, interpret and respond to them fast enough to open new windows on the Universe. This was
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Building a Microelectronics Foundation for Tomorrow’s Detectors
Building a Microelectronics Foundation for Tomorrow’s Detectors The challenge: smarter chips in harsher places Particle physics detectors have always pushed electronics to their limits. The next generation of tracking systems and calorimeters will depend critically on dense, intelligent, low power and radiation-hard microelectronics: front-end ASICs that can survive for decades in harsh environments, having their
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Rucio crosses the exabyte horizon
Rucio crosses the exabyte horizon When we last wrote in these pages about Rucio, ATLAS had just passed the half-exabyte mark and the community counted around thirty organisations. Six years on, a threshold that was then a distant projection has been crossed: both ATLAS and CMS, the two largest LHC experiments, now each manage more
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MOSAIX: Designing bent wafer-scale monolithic pixel sensors for the ALICE ITS3 upgrade
MOSAIX: Designing bent wafer-scale monolithic pixel sensors for the ALICE ITS3 upgrade The ALICE detector is preparing a major upgrade to its Inner Tracking System (ITS) during LHC long shutdown 3 (2026-2030). This upgrade, called ITS3, will replace the three innermost tracking layers with three layers of cylindrical, 50 µm thick, 27 cm long, silicon
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Towards monitoring in Run 4 and beyond: LHC experiments exchange perspectives on data quality at the HL-LHC
Towards monitoring in Run 4 and beyond: LHC experiments exchange perspectives on data quality at the HL-LHC In March of 2026, experts from ALICE, ATLAS, CMS and LHCb gathered at CERN for a dedicated workshop on Data Quality Monitoring (DQM), bringing together developers, coordinators and detector specialists to discuss how the LHC experiments monitor the
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LHCb completes a long-awaited family of doubly charmed baryons
LHCb completes a long-awaited family of doubly charmed baryons More than sixty years ago, particle physics was facing a problem of abundance. New subatomic particles were appearing in experiments, but there was not yet a clear organising principle to explain their relationships. In the early 1960s, Murray Gell-Mann and Yuval Ne’eman independently proposed the “Eightfold
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FASER opens new windows on dark sectors and TeV neutrino physics
FASER opens new windows on dark sectors and TeV neutrino physics The FASER experiment has presented a series of new results that highlight the growing breadth of its physics programme at the LHC. These include a search for dark photons with the main FASER detector, a first search for neutrino-induced charm production with FASERν, and
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Doubly charmed baryon doublet completed with upgraded LHCb
Doubly charmed baryon doublet completed with upgraded LHCb The image on the left presents an artist’s impression of this exotic particle, while the diagram on the right shows a kind of “family tree” of the proton, illustrating how heavier relatives emerge when its quarks are replaced by strange (s), charm (c), or bottom (b) quarks.
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ATLAS scales up AI for jet physics and reveals flavour-tagging scaling laws
ATLAS scales up AI for jet physics and reveals flavour-tagging scaling laws High Energy Physics (HEP) and Machine Learning (ML/AI) are uniquely aligned: The data recorded by particle physics experiments are so rich, heterogeneous and complicated that scientists crucially depend on advanced pattern recognition in order to extract physics results. It’s for this reason that