Newest implementation of GW approximation needs analytic continuation?

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SUMMARY

The discussion centers on the implementation of the GW approximation in computational physics, specifically referencing the early use of Matsubara frequency for calculating self-energy and the subsequent analytic continuation to real frequency. Participants seek updated references and insights on modern implementations of the GW approximation, indicating a need for current methodologies and coding practices. The inquiry highlights a gap in knowledge regarding advancements since the original 1999 implementation.

PREREQUISITES
  • Understanding of GW approximation in many-body physics
  • Familiarity with Matsubara frequency techniques
  • Knowledge of analytic continuation methods
  • Experience with computational coding in physics simulations
NEXT STEPS
  • Research recent publications on GW approximation advancements
  • Explore analytic continuation techniques in computational physics
  • Investigate modern coding practices for GW implementations
  • Learn about software tools used for many-body calculations, such as Quantum ESPRESSO or Yambo
USEFUL FOR

Physicists, computational scientists, and researchers involved in many-body theory and those looking to implement or update GW approximation methodologies in their work.

bsmile
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I know that at early stage (around 1999), GW implementation uses Matusbara frequency to help calculating self energy, and then apply analytic continuation to change it to real frequency for subsequent calculation. I don't know whether this scheme has been superceded by other implementations for modern GW approximation. Can anybody suggest some references on the recent development and some implementation details on GW, or, anybody who has coded on it giving comments? Thanks,
 
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