pydlr 1.0.1

Discrete Lehmann Representation for imaginary time calculations

libdlr: Imaginary time calculations using the Discrete Lehmann Representation

Authors: Jason Kaye and Hugo UR Strand (2021)

libdlr is a library providing Fortran subroutines to build and work with the discrete Lehmann representation (DLR) of single particle imaginary time Green's functions, as well as a stand-alone Python module pydlr implementing the same functionality.

For more information see the documentation, and the references below.

For a C++ implementation of the DLR, please see cppdlr. For a Julia implementation, see Lehmann.jl.

Citation

If this library helps you to create software or publications, please let us know, and cite

• our repository: https://github.com/jasonkaye/libdlr
• libdlr: Efficient imaginary time calculations using the discrete Lehmann representation, Jason Kaye, Kun Chen, and Hugo U.R. Strand, Comput. Phys. Commun. 280, 108458, 2022. [arXiv:2110.06765]
• Discrete Lehmann representation of imaginary time Green's functions, Jason Kaye, Kun Chen, and Olivier Parcollet, Phys. Rev. B 105, 235115, 2022. [arXiv:2107.13094]

Contact

Please email [e-mail] with any and all questions.

License

libdlr is licensed under the Apache License, Version 2.0, for more information see the LICENSE file.