toggle visibility Search & Display Options

Select All    Deselect All
 |   | 
Details
   print
  Record Links
Author (up) Perez de Leon, M.A.; Ochoa-Oregon, S.A.; Renteria-Estrada, D.F.; Hernandez-Pinto, R.J. doi  openurl
  Title Phenomenological Extraction of Fragmentation Functions in a pp¯ Environment Type Journal Article
  Year 2026 Publication Few-Body Systems Abbreviated Journal Few-Body Syst.  
  Volume 67 Issue 3 Pages 44 - 18pp  
  Keywords  
  Abstract The precise determination of fragmentation functions (FFs) of hadrons relies on the accurate description of the differential cross sections obtained from both experimental high-energy hadron colliders and theoretical predictions at higher orders in quantum chromodynamics. Various phenomenological strategies have been employed to extract FFs. In this work, we analyze the use of kinematical cuts for reactions including pions and kaons in proton-antiproton collisions to isolate individual FF contributions. This study examines the feasibility of using a similar approach as in proton-proton colliders to analyze FF flavour separation [1]. In particular, we study photon-hadron production at colliders, including NLO QCD and LO QED corrections to reconstruct the partonic momentum fractions.  
  Address [de Leon, M. A. Perez; Ochoa-Oregon, S. A.; Hernandez-Pinto, R. J.] Univ Autonoma Sinaloa, Fac Ciencias Fis Matemat, Ciudad Univ, Culiacan 80000, Sinaloa, Mexico, Email: marioaldair.perez@uas.edu.mx;  
  Corporate Author Thesis  
  Publisher Springer Wien Place of Publication Editor  
  Language English Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0177-7963 ISBN Medium  
  Area Expedition Conference  
  Notes WOS:001804676800001 Approved no  
  Is ISI yes International Collaboration yes  
  Call Number IFIC @ pastor @ Serial 7299  
Permanent link to this record
Select All    Deselect All
 |   | 
Details
   print

Save Citations:
Export Records:
ific federMinisterio de Ciencia e InnovaciónAgencia Estatal de Investigaciongva