https://github.com/alexeatscake/gigaanalysis

A toolbox for processing data that can be expressed as a dependent and independent variable.
https://github.com/alexeatscake/gigaanalysis

condensed-matter-physics data-science matplotlib numpy physics scipy

Last synced: 2 months ago
JSON representation

A toolbox for processing data that can be expressed as a dependent and independent variable.

• Host: GitHub
• URL: https://github.com/alexeatscake/gigaanalysis
• Owner: alexeatscake
• License: bsd-3-clause
• Created: 2022-06-10T11:33:12.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2024-08-16T13:12:26.000Z (5 months ago)
• Last Synced: 2024-10-31T08:42:07.589Z (2 months ago)
• Topics: condensed-matter-physics, data-science, matplotlib, numpy, physics, scipy
• Language: Python
• Homepage:
• Size: 337 KB
• Stars: 6
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.txt

Awesome Lists containing this project

README

        
# gigaanalysis

version 0.4.5

This library provides a collection of classes and functions for analysing 

datasets which are of the from of one independent and one dependent 

variable. This is very common in condensed mater physics experiment and 

gigaanalysis was produced for use in high magnetic field facilities.

Documentation: https://gigaanalysis.readthedocs.io/en/latest/

##  Layout

It broken into a collection of modules for different uses

* `data` - This contains the Data class which gigaanalysis is built around. It 

also contains a few functions for common manipulations.

* `mfunc` - This contains mathematical functions that are useful to manipulate 

data objects. This is broken into four sections applying numpy ufuncs, 

making Data objects, performing FFTs, and transforming Data objects.

* `dset` - For saving, loading, and manipulating collections of Data objects which are referred to datasets.

* `fit` - For fitting forms to the data contained in Data objects.

* `parse` - Contains functions for collecting all the data contained in 

datasets together, or distribution of data into Data objects.

* `qo` - Functions and classes for analysing quantum osculations 

experiments. 

* `contour` - Class for producing contour maps from a data set, using 

Gaussian processes. 

* `htsc` - Functions which are useful for studying superconductivity. 

* `magnetism` - Functions for studying magnetism.

* `heatc` - Functions for studying heat capacity of materials.

* `diglock` - An implementation of a digital lock in.

* `highfield` - A class for processing the data from pulsed magnetic field 

facilities. 

* `const` - A few useful scientific constants in different systems of units.

## Requirements

This was developed mostly using

* python 3.7.7

* numpy 1.21.2

* pandas 1.3.4

* matplotlib 3.4.3

* h5py 2.10.0

I haven't found any problems with using newer versions of these same 

dependencies.