Questions about scale dependence and renormalization schemes

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SUMMARY

This discussion centers on scale dependence in various renormalization schemes, specifically the on-shell (OS) and momentum-subtraction (MO) schemes. The OS scheme, as described in Peskin & Schroeder, does not inherently involve an auxiliary scale, while the MO scheme introduces a scale at ##p^2=-M^2##. The conversation also touches on the mixing of schemes, such as using the MS scheme for propagators and the MO scheme for vertex functions, which leads to multiple scales. Understanding these relationships is crucial for determining coupling constants in scattering experiments.

PREREQUISITES
  • Familiarity with on-shell (OS) and momentum-subtraction (MO) renormalization schemes
  • Understanding of dimensional regularization, particularly the Pauli-Villars scheme
  • Knowledge of Lagrangian counterterms and Feynman rules
  • Basic concepts of quantum field theory as outlined in Peskin & Schroeder
NEXT STEPS
  • Study the Pauli-Villars dimensional regularization scheme in detail
  • Review the minimal subtraction (MS) scheme and its applications
  • Explore the implications of mixing different renormalization schemes in quantum field theory
  • Investigate the relationship between scales in renormalization schemes and their impact on scattering experiments
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This discussion is beneficial for quantum field theorists, physicists studying renormalization techniques, and advanced students seeking to deepen their understanding of scale dependence in quantum field theories.

Isaac0427
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How do the scale dependences of different renormalization schemes relate?
Hi,

I have several related questions about scale dependence in different renormalization schemes.

1. Is there scale dependence in the on-shell (OS) scheme? Peskin & Schroeder chapter 10 goes through on-shell renormalization without involving an auxiliary scale, but other sources (see https://arxiv.org/pdf/1901.06573 chapter 1) do include the scale from dimensional regularization in the on-shell scheme.

2. A similar question about the momentum-subtraction (MO), also called the "off-shell" scheme. This scheme is like the OS scheme, but instead of placing a condition on the propagator and vertex function at ##p^2=m^2## where m is the physical mass, the condition is placed at ##p^2=-M^2##. In Peskin & Schroeder, M would be the scale. But, if you also included the scale from dimensional regularization, now we would have two scales. How does this work?

3. I have seen it said that you can mix different schemes (such as treating the propagator in the MS scheme but the vertex function in the MO scheme). If you do this, you would get multiple scales simultaneously. How does this work?

4. How do the scales in different schemes relate to each other, and how do they relate to the momenta used in a scattering experiment where you try to determine the value of the coupling constant at a particular scale?

Thank you in advance!
 
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OK I had hoped someone with more recent practice as well as having a copy of Peskin & Schroeder QFT book.

Forewarning its been years since I last went through this but I can offer some hints and suggestions to your questions above.
First and foremost the majority of your questions above is commonly answered by studying the the Pauli_Villars dimensional regularization scheme.

https://fma.if.usp.br/~burdman/QFT1/lecture_22.pdf

see 22.72 with regards to p^2=m^2

Now hopefully you have also studied the Langrangian counter term as the Feymann rules requires a propagator, a vertex, a propagator counter term and a counter term vertex. Though you also need to have the Bare Langrangian

In regards to MS shouldn't that be minimal subtraction and not momentum subtraction ?

https://web2.ph.utexas.edu/~vadim/Classes/2022f/ms.pdf

anyways hope that helps like I stated its been several years since I last looked at renormalization schemes
 
Last edited:
Forgot to add the renormalization scheme used is largely a matter of convenience and choice. Though you will want to use one scheme per graph where you will typically have more than one graph involved.
 

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