Welcome to sparse-ir tutorial#
This online document provides comprehensive tutorials of the Python library sparse-ir library and Julia library SparseIR.jl.
For information on the whole sparse-ir ecosystem (including Rust, C-API, and Fortran bindings), please refer to the sparse-ir documentation.
The tutorials follow the notation defined on the notation and conventions page of the sparse-ir documentation. The basic theory is explained there as well: the intermediate representation, sparse sampling, the discrete Lehmann representation, and summation over the Matsubara axis.
Please free to make a contact with the authors of each tutorial page if you have any questions!
Contributors#
Satoshi Terasaki (AtelierArith)
Markus Wallerberger (TU Wien)
Samuel Badr (TU Wien)
Shintaro Hoshino (Saitama Univ.)
Fumiya Kakizawa (Saitama Univ.)
Takashi Koretsune (Tohoku Univ.)
Yuki Nagai (JAEA, Riken)
Kosuke Nogaki (Kyoto Univ.)
Takuya Nomoto (Univ. Tokyo)
Hitoshi Mori (Riken)
Junya Otsuki (Okayama Univ.)
Soshun Ozaki (Univ. Tokyo)
Rihito Sakurai (Saitama Univ.)
Constanze Vogel (TU Wien)
Niklas Witt (Univ. Hamburg)
Kazuyoshi Yoshimi (ISSP)
Hiroshi Shinaoka (Saitama Univ.)