Information criteria for selecting parton distribution function solutions

Key Points

• Analyses show that information criteria effectively differentiate parton distribution function solutions, enhancing accuracy.
• The study identifies strong candidates amongst various model solutions, revealing significant variation in fit quality.
• Using information criteria, a systematic approach evaluates models, achieving insights into parton distribution functions.
• These findings suggest improved statistical methodologies for selecting models in high-energy physics.