CERN Accelerating science

CMS experiment

CMS upgrade plans for LS2

by Panos Charitos

In order to achieve the full benefit of the HL-LHC, CMS has launched an intensive R&D programme along with major work on key infrastructures during LS2.

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.

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.

Developing new electronics for the CMS tracking system

by Panos Charitos. Kostas Kloukinas

An ongoing R&D programme aims to tackle the challenges of tracking and identifying new particles with the CMS detector in the challenging environment of HL-LHC. 

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. 

Mapping the CMS inner tracking system with unprecedented precision

by Phil Baringer, Maxime Gouzevitch and Anna Kropivnitskaya

The CMS Collaboration’s 800th paper describes a technique for measuring the positions of inactive elements using Nuclear Interactions.

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.