Neural network parametrization of deep-inelastic structure functions
- 1 May 2002
- journal article
- Published by Springer Nature in Journal of High Energy Physics
- Vol. 2002 (05) , 062
- https://doi.org/10.1088/1126-6708/2002/05/062
Abstract
No abstract availableAll Related Versions
This publication has 14 references indexed in Scilit:
- Solving the Altarelli–Parisi equations with truncated momentsPhysics Letters B, 2001
- Evolution of truncated moments of singlet parton distributionsNuclear Physics B, 2001
- Functional approach to the non-mesonic decay of Λ-hypernucleiNuclear Physics A, 2000
- Truncated moments of parton distributionsPhysics Letters B, 1999
- Extraction of parton distributions andThe European Physical Journal C, 1999
- Spin asymmetriesand structure functionsof the proton and the deuteron from polarized high energy muon scatteringPhysical Review D, 1998
- Implications of hadron collider observables on parton distribution function uncertaintiesPhysical Review D, 1998
- Measurement of the proton and deuteron structure functions, F2 and F2, and of the ratioNuclear Physics B, 1997
- A high statistics measurement of the deuteron structure functions F2(x, Q2) and R from deep inelastic muon scattering at high Q2Physics Letters B, 1990
- A high statistics measurement of the proton structure functions F2(x, Q2) and R from deep inelastic muon scattering at high Q2Physics Letters B, 1989