A library for matter wave propagation built on top of fftarray.
Project description
Matterwave
Intro | Installation | Documentation | FFTArray Preprint (arXiv) | Change log
This library is a collection of routines and constants to help building simulations in the field of matter wave optics built on top of the FFTArray library. See also the documentation of matterwave.
Intro
The main features of matterwave include:
- A second-order split-step implementation for normal and imaginary time propagation.
- Functions for treating
fftarray.Arrayinstances as quantum mechanical wave functions, for example normalization, scalar product, expectation values and energy computation. - Some helpful constants, currently only for the D2 line of Rb87.
- Some plotting helpers for the panel library.
Installation
For most use cases we recommend installing the optional constraint solver of FFTArray for easy Dimension definition with the dimsolver option:
pip install matterwave fftarray[dimsolver]
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file matterwave-0.5.2.tar.gz.
File metadata
- Download URL: matterwave-0.5.2.tar.gz
- Upload date:
- Size: 153.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.13.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
5978d09295dda65276dac8ca2b22b44793b2088ee778496a37011b77ef4c1fb1
|
|
| MD5 |
73ed6e43d2f85d5a1003d6e41eab55b6
|
|
| BLAKE2b-256 |
fd3030a41f61a954134fabdf39bad1912ce0ed3b9abaf6878b4567a2b2a6f569
|
File details
Details for the file matterwave-0.5.2-py3-none-any.whl.
File metadata
- Download URL: matterwave-0.5.2-py3-none-any.whl
- Upload date:
- Size: 15.2 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.13.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
f208caed7d16a48568628b943595b29d22320078124db7f3e22104aa5b757f48
|
|
| MD5 |
ef626809cffd8ccfbd28f6bcfd6a82b4
|
|
| BLAKE2b-256 |
50cec3dddc60cf422938206e22cd44cf317337b1775144aa751082444b51391b
|
