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M

M.-H. Sigward

Researcher at University of Strasbourg

Publications -  9
Citations -  6838

M.-H. Sigward is an academic researcher from University of Strasbourg. The author has contributed to research in topics: Detector & AGATA. The author has an hindex of 4, co-authored 8 publications receiving 6079 citations. Previous affiliations of M.-H. Sigward include Centre national de la recherche scientifique.

Papers
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The CMS experiment at the CERN LHC

S. Chatrchyan, +3175 more
TL;DR: The Compact Muon Solenoid (CMS) detector at the Large Hadron Collider (LHC) at CERN as mentioned in this paper was designed to study proton-proton (and lead-lead) collisions at a centre-of-mass energy of 14 TeV (5.5 TeV nucleon-nucleon) and at luminosities up to 10(34)cm(-2)s(-1)
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The ALICE experiment at the CERN LHC

K. Aamodt, +1154 more
TL;DR: The Large Ion Collider Experiment (ALICE) as discussed by the authors is a general-purpose, heavy-ion detector at the CERN LHC which focuses on QCD, the strong-interaction sector of the Standard Model.
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AGATA - Advanced GAmma Tracking Array

Serkan Akkoyun, +378 more
TL;DR: The Advanced GAmma Tracking Array (AGATA) as discussed by the authors is a European project to develop and operate the next generation gamma-ray spectrometer, which is based on the technique of energy tracking in electrically segmented high-purity germanium crystals.
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Conceptual design of the AGATA 1π array at GANIL

E. Clément, +119 more
TL;DR: The Advanced GAmma Tracking Array (AGATA) has been installed at the GANIL facility, Caen-France as discussed by the authors, where it has been designed to couple AGATA with a magnetic spectrometer, charged-particle and neutron detectors, scintillators for the detection of high energy γ rays and other devices such as a plunger to measure nuclear lifetimes.
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Application of gamma imaging techniques for the characterisation of position sensitive gamma detectors

TL;DR: In this paper, a gamma camera that is capable of producing online 2D images of the scanned detector by means of a PET technique has been implemented at GSI, where the 2D data can be processed further offline to obtain depth information.