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Nuclear Instruments & Methods in Physics Research Section A-accelerators Spectrometers Detectors and Associated Equipment | 1994

The H1 forward muon spectrometer

H. Cronström; V. Hedberg; C. Jacobsson; L. Jönsson; H. Lohmander; M. Nyberg; Ian Kenyon; H. Phillips; P. Biddulph; P. Finnegan; J.M. Foster; S. Gilbert; C.D. Hilton; M. Ibbotson; A. Mehta; P. Sutton; K. Stephens; R. J. Thompson

Abstract The H1 detector started taking data at the electron-proton collider HERA in the beginning of 1992. In HERA 30 GeV electrons collide with 820 GeV protons giving a strong boost of the centre-of-mass system in the direction of the proton, also called the forward region. For the detection of high momentum muons in this region a muon spectrometer has been constructed, consisting of six drift chamber planes, three either side of a toroidal magnet. A first brief description of the system and its main parameters as well as the principles for track reconstruction and T 0 determination is given.


European Physical Journal C | 1994

Study of jet reconstruction algorithms for deep-inelastic events at HERA

V. Hedberg; Gunnar Ingelman; C. Jacobsson; L. Jönsson

Three commonly used jet algorithms and two new ones have been studied with respect to their performance in the new experimental situation of deep-inelastic scattering at the HERA electron-proton collider. Their ability to reconstruct properties of the underlying parton level subprocesses was investigated. This relates to first order QCD matrix elements and higher order parton emissions as described by parton showers. A new method was devised to determine suitable values for the resolution parameters of the algorithms and assess their reconstruction quality. The Jade algorithm, which is frequently used ine+e−-annihilation, is found to perform less well compared to other algorithms.


4th San Miniato Topical Seminar on The Standard Model and Just Beyond | 1993

AZIMUTHAL ENERGY FLOW IN DEEP INELASTIC ep SCATTERING AS A TEST OF QCD INVOLVING A NEW JET RECONSTRUCTION PROCEDURE AND JET IDENTIFICATION BY NEURAL NETWORK METHODS

V. Hedberg; C. Jacobsson; L. Jönsson; Gunnar Ingelman

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A. Mehta

University of Manchester

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C.D. Hilton

University of Manchester

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H. Phillips

University of Birmingham

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Ian Kenyon

University of Birmingham

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