CMS PROJECT COORDINATION

Lead Research Organisation: Imperial College London
Department Name: UNLISTED

Abstract

Abstracts are not currently available in GtR for all funded research. This is normally because the abstract was not required at the time of proposal submission, but may be because it included sensitive information such as personal details.

Publications

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Misiura M (2014) Mueller--Navelet Jets at the CMS in Acta Physica Polonica B

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Walczak M (2016) Exclusive Production at CMS in Acta Physica Polonica B

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Olszewski M (2016) Higgs $\to \tau \tau $ Analysis in the CMS Experiment in Acta Physica Polonica B

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Ahmad M (2016) Standard Model Results of CMS at 13 TeV in Acta Physica Polonica B

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Kazana M (2016) Searches for Supersymmetry with the CMS Detector at the LHC in Acta Physica Polonica B

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Basegmez Du Pree S (2016) First Run 2 Searches for Exotica at CMS in Acta Physica Polonica B

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Konecki M (2014) CMS: Performance, Physics, Perspectives in Acta Physica Polonica B

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De Guio F (2016) Performance of the CMS Detector During the LHC Run 2 in Acta Physica Polonica B

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Olszewski M (2014) Triggering on Delayed Particles in the CMS Detector in Acta Physica Polonica B

 
Description New particles and improved limits on the existence of many particles and testing of many theoretical options; progress with other particle searches. These searches are ongoing with the LHC having resumed operation at higher energy in 2015, and significantly larger data sets available now for analysis.
Exploitation Route Via the published literature and outreach.
Sectors Digital/Communication/Information Technologies (including Software),Education,Electronics

URL https://cms.cern/
 
Description Research and Education. Since 2014 especially, but also prior to that, the work reported by CMS in constructing the experiment, and using it to carry out studies in particle physics, culminating in the discovery of the Higgs boson, have had an important educational and cultural impact. The experimental studies resumed in 2015 with the LHC restart and the results obtained have deepened our understanding of fundamental physics. There is an increasing use of AI and machine learning which clearly has wider impact.
First Year Of Impact 2014
Sector Digital/Communication/Information Technologies (including Software),Education,Electronics
Impact Types Cultural,Societal