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Improved Hand-written Character Recognition thanks to a New Geometric Distortion Method
Gosselin, Bernard
1997
 

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Keywords :
Nuclear and High Energy Physics
Abstract :
Abstract The energy flow, dE/dη, is studied at large pseudorapidities in proton-proton collisions at the LHC, for centre-of-mass energies of 0.9 and 7 TeV. The measurements are made using the CMS detector in the pseudorapidity range 3.15 < |η| < 4.9, for both minimum-bias events and events with at least two high-momentum jets. The data are compared to various pp Monte Carlo event generators whose theoretical models and input parameter values are sensitive to the energy-flow measurements. Inclusion of multiple-parton interactions in the Monte Carlo event generators is found to improve the description of the energy-flow measurements.
Disciplines :
Computer science
Author, co-author :
Language :
English
Title :
Improved Hand-written Character Recognition thanks to a New Geometric Distortion Method
Publication date :
01 January 1997
Event name :
6th the Int. Conf. On Image Processing and its Applications
Event place :
Dublin, Ireland
Event date :
1997
Research unit :
F105 - Information, Signal et Intelligence artificielle
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