Renormalization is like cleaning up a mess. It helps scientists make calculations easier to understand and manage.
Imagine you had a pattern of circles (like a chain link fence) that you wanted to study, but some of the circles overlapped. This overlap would make it difficult to count the number of circles in the pattern and make it hard to study.
Renormalization is what scientists use to clean up this kind of mess. It involves stretching out the pattern, so all the circles have space around them, and then shrinking it back to its original size again. When this is done, it is much easier to count the number of circles and study the pattern.