Normalization of Radial Distribution Function

Click For Summary
SUMMARY

The discussion focuses on normalizing the Radial Distribution Function (RDF) values for better visualization in Python. The user encounters a challenge where the g(r) value reaches 40, while other atomic values are significantly lower, making it difficult to compare graphs. The recommended approach includes normalizing g(r) to 1 for larger r values and truncating the y-axis for improved clarity. Python programming solutions are sought for implementing these normalization techniques.

PREREQUISITES
  • Understanding of Radial Distribution Function (RDF) concepts
  • Familiarity with Python programming
  • Experience with data visualization libraries such as Matplotlib
  • Knowledge of normalization techniques in data analysis
NEXT STEPS
  • Learn how to implement normalization techniques in Python using NumPy
  • Explore Matplotlib for effective data visualization and y-axis truncation
  • Research best practices for plotting Radial Distribution Functions
  • Investigate advanced data visualization libraries like Seaborn for enhanced graph aesthetics
USEFUL FOR

Researchers, data analysts, and scientists working with molecular simulations or materials science who need to visualize Radial Distribution Functions effectively.

DHN
Messages
9
Reaction score
0
Hello all,
I have a Radial Distribution Function in which the y-axis ie., g(r) value goes up to 40. But the other atoms values for g(r) are, say within 5. So when i plot these two it is difficult to see the smaller graph.
So how do i normalize these value..??
I have attached an image.

Any python program if possible would be highly appreciated.

Thank you.
 

Attachments

  • RDF.png
    RDF.png
    10 KB · Views: 591
Physics news on Phys.org
The usual normalization is that g(r) ---> 1 for large r. For comparison with smaller peaks, you can truncate the y-axis.
 
I want the y-axis scale to be reduced and hence i can have a better visualization w.r.t all the graphs.
Any suggestions on how to get this??
 

Similar threads

  • · Replies 2 ·
Replies
2
Views
1K
Replies
4
Views
3K
  • · Replies 1 ·
Replies
1
Views
2K
Replies
10
Views
5K
  • · Replies 16 ·
Replies
16
Views
11K
  • · Replies 2 ·
Replies
2
Views
1K
  • · Replies 2 ·
Replies
2
Views
2K
  • · Replies 2 ·
Replies
2
Views
1K
  • · Replies 28 ·
Replies
28
Views
4K
  • · Replies 24 ·
Replies
24
Views
4K