green-mbtools


Namegreen-mbtools JSON
Version 0.3.0 PyPI version JSON
download
home_pageNone
SummaryCollection of Python tools for quantum many-body simulation using Green Software Package
upload_time2025-08-19 21:29:03
maintainerNone
docs_urlNone
authorNone
requires_python<3.13,>=3.8
licenseNone
keywords
VCS
bugtrack_url
requirements numpy pyscf ase spglib numba scipy h5py irbasis baryrat cvxpy clarabel mosek green-ac green-igen
Travis-CI No Travis.
coveralls test coverage No coveralls.
            [![Python application](https://github.com/Green-Phys/MB_analysis/actions/workflows/python-app.yml/badge.svg)](https://github.com/Green-Phys/MB_analysis/actions/workflows/python-app.yml)
[![GitHub license](https://img.shields.io/github/license/Green-Phys/green-mbpt?cacheSeconds=3600&color=informational&label=License)](./LICENSE)

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```

===================

Python Tool Suite for Green's-function-based many-body calculations using Green Software Package.

Package contains two main modules:

   - mint (Mean-field INput generation Toolkit): generates input files for Green/WeakCoupling using PySCF, ASE and SPGLib 
   - pesto (Post-processing Evaluation Software TOols): provides access to various post-processing tools such as analytical continuation, and Mulliken analysis.
  
Installation
----------
*  To install the `green-mbtools` binary package simply execute:
  ```bash
  pip install green-mbtools
  ```

*  To build from sources download the source code either from github or from [PyPI](https://pypi.org/project/green-mbtools/#files) and run:
  ```bash
  python -m build
  ```

  This will automatically build the Nevanlinna and Caratheodory extensions, which are written in C++.

**Dependencies:**
1. Python packages: `numpy`, `scipy`, `h5py`, `green-ac`, `pyscf`, `ase`, `spglib`, `irbasis`, `cvxpy`, and `baryrat`.
2. C++ libraries: `Eigen`, `GMP`, `MPFR`
3. `pytest` for testing
4. [Maxent external C++ library](https://github.com/CQMP/Maxent) needs to be built separately to run analytic continuation tasks using the maxent method.

Features
----------
The `mbtools` package comes with two sub-packages: `mint` and `pesto`. The `mint` sub-package contains utilities for the following tasks:
* Generate input for Green/WeakCoupling.
* Compute molecular/natural orbitals.
* Mulliken analyasis based on symmetrical atomic orbitals.

On the other hand, the `pesto` sub-package, formerly known as the `mbanalysis` package, caters to:
* Fourier transformation between real and reciprocal space.
* Fourier transformation between imaginary-time and Matsuabara frequency domain on intermediate representation (IR) grids (see [Phys. Rev. B 101, 035144 (2020)](https://journals.aps.org/prb/abstract/10.1103/PhysRevB.101.035144) for further details).
* Wannier interpolation
* Maxent analytical continuation (External C++ library required: https://github.com/CQMP/Maxent) 
* Nevanlinna analytical continuation, based on Fei et.al. [Phys. Rev. Lett. 126, 056402 (2021)](https://journals.aps.org/prl/abstract/10.1103/PhysRevLett.126.056402).
* PES analytical continuation, based on [Phys. Rev. B 107, 075151 (2023)](https://journals.aps.org/prb/abstract/10.1103/PhysRevB.107.075151).
* Caratheodory analytical continuation for complex valued matrices, implemented as a C++ library based on Fei et.al. [Phys. Rev. B 104, 165111 (2021)](https://journals.aps.org/prb/abstract/10.1103/PhysRevB.104.165111).


Contirbutions to the code
-----------
* Most of the `pesto` source code was written by @cnyeh
* Nevanlinna analytic continuation was implemented by @jianiOnly
* Clean up and packaging of the code and extension modules, including Nevanlinna and Caratheodory, was performed by by @gauravharsha
* ES analytic continuation implemented by @gauravharsha
* Example for spaghetti diagrams for occupation numbers added by @pavel-po
* C++ wrapper to GMP and MPFR float numbers and packaging @iskakoff
* Green/WeakCoupling input generation @cnyeh and @iskakoff

            

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