General Strategy

 

• Monte Carlo generation of data replicas→ no need for linear propagation of errors
  → possibility to test for non Gaussian behaviour in fitted PDFs
• Neural Networks parametrization of PDFs
• → 7 independent PDFs, 259 parameters
  → unbiased parametrization
• Evolution using DGLAP equations
• Genetic Algorithm’s training of neural networks parameters
• Analysis of χ² distributions