CERN Accelerating science

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CERN Accelerating science

ATLAS experiment

HL-LHC computational challenge for ATLAS and CMS experiments

by Tommaso Boccali (INFN and CERN) Davide Costanzo (Sheffield U and CERN)

Discussing the computing models and future resource needs for ATLAS and CMS experiments and the possibilities opened up by quantum computing.

 

Particle colliders join the quest for dark energy.

by Spyros Argyropoulos (University of Iowa) & Panos Charitos (CERN)

A  recently proposed extension of the Standard Model that also accounts for Dark Energy, paves the way towards future collider searches.

Higgs boson observed decaying to bottom quarks

by Panagiotis Charitos

Last month, the ATLAS and CMS collaborations jointly announced the discovery of the Higgs boson decaying into a matter-antimatter pair of bottom quarks.

Axion-like particle searches at the LHC

by Andrea Thamm, Tom Melia, Panos Charitos

An overview of LHC searches for Axion-like particles (ALPs) both at proton-proton and heavy-ion collisions. 

ATLAS presented first results from a more generic strategy that allows searches for physics beyond the Standard Model that effectively minimizes the probability of missing any signs of new physics. 

Precise timing detectors for the LHC experiments

by Panos Charitos, with contributions from Tommaso Tabarelli de Fatis (CMS), Lindsey Gray (CMS), Ana Maria Henriques Correia (ATLAS) and Laurent Serin (ATLAS)

 To meet the physics goals of the HL-LHC physics programme, ATLAS and CMS experiments have submitted proposals for timing detectors that will boost their physics reach.  

Heavy-ion collisions at Quark Matter 2018

by Panagiotis Charitos

CERN experiments present results from the study of lead-lead collisions at Quark Matter 2018.

New season starts for the LHC experiments

by Panos Charitos

Last April, the detectors of the Large Hadron Collider (LHC) witnessed their first collisions of 2017 with the machine reaching an outstanding performance. 

As the LHC experiments gather more data physics analysis can benefit from the development of novel machine learning tools. 

The exploitation of the LHC data is continuing successfully, with a wealth of new results presented at the Moriond 2018 conference,

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