Supporting functions for handling the c++ library sigmond
Project description
Sigmond Scripts
This repository contains a set of scripts used for the analysis of 2-point temporal correlation functions. They depend on the sigmond analysis package (https://bitbucket.org/ahanlon/sigmond), and you should first have sigmond installed before using these scripts.
These functions are modified for the PyCALQ package.
Directory structure
- analysis - contains the main scripts for running the analysis
- run_sigmond.py - the driving script (pass -h to see options)
- data_conversion - contains various scripts for converting data to various formats (e.g. hdf5, LapH-binary, sigmond-bins).
- example_yamls - contains some example yaml files that can be passed to run_sigmond.py
- doc - contains documenation for how to use the analysis scripts (not up to date at all)
What software requirements are there?
- Python 3.8 is required
- Many Python modules
- wheel
- cython
- pybind11
- pyyaml
- progressbar
- sortedcontainers
- pylatex
- numpy
- uncertainties
- aenum
- tqdm
- h5py
- matplotlib
How do I get started?
- You first need data in a format that sigmond can read (either LapH-binary or sigmond-bins). The data_conversion scripts can be used for this
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