104 citations · 288 across the 8 of their papers we have counts for
7 papers · 1 filter
Measurement of from Jet Rates in Deep Inelastic Scattering at HERA
The ZEUS Collaboration
Jet production in deep inelastic scattering for ~GeV has been studied using data from an integrated luminosity of 3.2~pb collected with the ZEUS detector a…
Neutral strange particle production in deep inelastic scattering at HERA
ZEUS Collaboration
This paper presents measurements of \k\ and \lam\ production in neutral current, deep inelastic scattering of 26.7 GeV electrons and 820 GeV protons in the kinematic range $ 10 < Q…
Neural Network based Electron Identification in the ZEUS Calorimeter
H. Abramowicz, A. Caldwell, R. Sinkus
We present an electron identification algorithm based on a neural network approach applied to the ZEUS uranium calorimeter. The study is motivated by the need to select deep inelas…
Jet production in high Q^2 deep-inelastic eo scattering at HERA
ZEUS Collaboration
Two-jet production in deep-inelastic electron-proton scattering has been studied for ~GeV, and with the ZEUS detector at HERA. The kine…
Study of D*(2010)+- Production in ep Collisions at HERA
ZEUS Collaboration
We report the first observation of charmed mesons with the ZEUS detector at HERA using the decay channel ${\rm D}^{*+}\rightarrow (\Do \rightarrow {\rm K}^-π^+)π^+$ (+ c.c.). Clear…
Measurement of multiplicity and momentum spectra in the current fragmentation region of the Breit frame at HERA
ZEUS Collaboration
Charged particle production has been measured in Deep Inelastic Scattering (DIS) events using the ZEUS detector over a large range of from 10 to . The evol…
A novel approach to error function minimization for feedforward neural networks
Ralph Sinkus
Feedforward neural networks with error backpropagation (FFBP) are widely applied to pattern recognition. One general problem encountered with this type of neural networks is the un…