Contribution to a conference proceedings/Internal Report

PHPPUBDB-15162

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Physics Potential of the CMS CASTOR Forward Calorimeter

Volyanskyy, D. ; CMS Collaboration (Collaboration Author) ; DESY

2010
Verlag Deutsches Elektronen-Synchrotron Hamburg

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Please use a persistent id in citations: doi:10.3204/DESY-PROC-2010-01/volyanskyy

Report No.: DESY-PROC-2010-01

Abstract: The CASTOR calorimeter is a detector covering the very forward region of the CMS experiment at the LHC. It surrounds the beam pipe with 14 longitudinal modules each of which consisting of 16 azimuthal sectors and allows to reconstruct shower profiles, separate electrons and photons from hadrons and search for phenomena with anomalous hadronic energy depositions. The physics program that can be performed with this detector includes a large variety of different QCD topics. In particular, the calorimeter is supposed to contribute to studies of low-x parton dynamics, diffractive scattering, multi-parton interactions and cosmic ray related physics in proton-proton and heavy-ion collisions. The physics capabilities of this detector are briefly summarized in this paper.

Keyword(s): heavy ion: scattering ; energy: hadronic ; calorimeter ; CMS ; CERN LHC Coll

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Contributing Institute(s):

1. LHC/CMS Experiment (CMS)

Research Program(s):

1. Experiments at LHC (CMS) (POF2-512) (POF2-512)

Experiment(s):

1. LHC: CMS

Appears in the scientific report 2010

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Linked articles:

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Proceedings/Internal Report Diehl, M. (Editor)DESY* ; Haller, J. (Editor)>Extern* ; Schorner-Sadenius, T. (Editor)DESY* ; Steinbruck, G. (Editor)>Extern*
Physics at the LHC2010. Proceedings, 5th Conference, PLHC2010, Hamburg, Germany, June 7-12, 2010
2010Physics at the LHC 2010, PLHC2010, HamburgHamburg, Germany, 7 Jun 2010 - 12 Jun 20102010-06-072010-06-12 Hamburg : Verlag Deutsches Elektronen-Synchrotron (2010)2010     Files BibTeX | EndNote: XML, Text | RIS

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