Discussion Overview
The discussion centers around the challenge of comparing Parton distribution functions (PDFs) plotted by one participant using Mathematica with those published by other research groups, without having access to their data or Mathematica codes. The conversation explores methods for comparison and the availability of external resources.
Discussion Character
- Exploratory
- Technical explanation
- Debate/contested
Main Points Raised
- One participant seeks guidance on how to compare their plotted Parton distribution functions with those from other groups, specifically mentioning a lack of access to data from groups like H1 and Cteq.
- Another participant interprets the question as a request for technical assistance with plotting multiple graphs in Mathematica, suggesting a reference link for plotting syntax.
- A later reply emphasizes the need for more specific information about the desired comparison, indicating that simply searching for graphs online may not suffice.
- One participant suggests checking the websites of various research groups for their published results, noting that different groups present their data in varying formats.
- Another participant mentions a universal interface called lhapdf, which could provide relevant proton PDF sets, although it is noted that it may not have a direct Mathematica interface.
Areas of Agreement / Disagreement
Participants express differing interpretations of the original question, with some focusing on technical plotting assistance while others emphasize the need for specific data comparison methods. No consensus is reached on how to proceed with the comparison.
Contextual Notes
The discussion highlights limitations regarding the availability of data from other groups and the potential challenges in accessing and utilizing external resources for comparison.
Who May Find This Useful
Researchers and students interested in Parton distribution functions, data analysis in particle physics, and those seeking methods for comparing theoretical results with published data.