Wednesday Weekly Meeting

→ Asia/Tehran
Ahmad Mashal (ILSF)
Description

General weekly meeting of the school of particles and accelerators (hybrid format)

    • 11:00 → 12:00
      Damavand: A Neural-Network Framework for Diffractive QCD Analyses 1h

      In this talk, I will introduce Damavand, a neural-network-based QCD analysis framework developed for the determination of diffractive parton distribution functions (diffractive PDFs). Building upon the MontBlanc framework, Damavand combines perturbative QCD calculations at next-to-leading order (NLO) and next-to-next-to-leading order (NNLO) with DGLAP evolution, flexible neural-network parametrizations, and Monte Carlo replica methods for uncertainty estimation.
      As its first application, Damavand has been employed to extract the MAP-diff-PDF1.0 distributions from HERA diffractive deep-inelastic scattering measurements within the fracture-function formalism. I will discuss the main features of the framework, its computational methodology, and selected phenomenological results, including comparisons with existing diffractive PDF determinations. Finally, I will briefly outline possible extensions and future

      Speaker: Dr Hadi Hashamipour (School of Particles and Accelerators, IPM)