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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Vami T (2016) Calibration of the CMS Pixel Detector at the Large Hadron Collider in Nuclear and Particle Physics Proceedings

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Hall G (2014) CBC2: A CMS microstrip readout ASIC with logic for track-trigger modules at HL-LHC in Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment

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Tuo S (2014) Centrality determination in pPb collisions with CMS in Nuclear Physics A

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Katkov I (2013) Characteristics of hadronic interactions in the forward direction in EPJ Web of Conferences

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Lutzer B (2013) Characterization of irradiated test structures for the CMS tracker upgrade in Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment

 
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