Intuition for divergences in sunset diagram

In summary, intuition for divergences in sunset diagram involves understanding why certain points diverge from others. Divergences occur due to multiple factors influencing the data, such as measurement errors and external factors. They can be identified by visually examining the data and can be minimized by careful data collection and analysis, reducing errors and considering the complexity of the system.
  • #1
Higgsy
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What is the intuition behind divergences for the sunset diagram? I know that there is quadratic divergence by why no quartic divergence or higher?
Figures_J_topology.png
 
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  • #2
You have two loops and three propagators. Counting the powers of momentum in those gives you a naive estimate of the degree of divegence.
 
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Related to Intuition for divergences in sunset diagram

What is intuition for divergences in sunset diagram?

Intuition for divergences in sunset diagram refers to the understanding of why certain points in the diagram diverge from others, resulting in a spread of data points in different directions.

Why do divergences occur in sunset diagram?

Divergences occur in sunset diagram due to the presence of multiple factors influencing the data points. These factors can lead to variations in the data, causing some points to diverge from the expected trend.

What are some common causes of divergences in sunset diagram?

Some common causes of divergences in sunset diagram include measurement errors, data outliers, and external factors such as weather or human error. Additionally, the complexity of the system being studied can also contribute to divergences.

How can we identify and interpret divergences in sunset diagram?

Divergences in sunset diagram can be identified by visually examining the spread of data points and looking for deviations from the expected trend. These divergences can then be interpreted by considering the potential causes and their impact on the data.

How can we minimize divergences in sunset diagram?

To minimize divergences in sunset diagram, it is important to carefully collect and analyze data, reduce measurement errors, and account for any external factors that may affect the data. Additionally, using appropriate statistical methods and considering the complexity of the system can also help minimize divergences.

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