Skip to main content

Supersolids

Package to simulate and animate supersolids. This is done by solving the dimensionless time-dependent non-linear Schrodinger equation for an arbitrary potential. The split operator method with the Trotter-Suzuki approximation is used.

Documentation

https://supersolids.readthedocs.io/en/latest/

Installing

For the animation to work, ffmpeg needs to be installed on your system.

pip

  • pip install supersolids

Archlinux

It is provided in the AUR

Windows

You need to add python to your path (if you didn't do it, when installing python/anaconda).

  • Then continue with pip installation

Source

Go to the directory, where the "setup.py" lies.

  • For Linux use "python setup.py install --user" from console to build and install the package

Usage

The package uses main.py, so it can be run as module. To get help for the flags, run:

  • python -m supersolids -h
  • python -m supersolids.tools.load_npz -h
  • python -m supersolids.tools.simulate_npz -h

To actually run (example):

  • python -m supersolids -Res='{"x": 16, "y": 32, "z": 62}' -Box='{"x0": -10, "x1": 10, "y0": -6, "y1": 5, "z0": -8, "z1": 8}'
  • python -m supersolids.tools.load_npz -frame_start=79000
  • python -m supersolids.tools.simulate_npz -dir_name=movie004 -filename_npz=step_079000.npz

If you use an IDE and your script parameter includes double quotes, escape the double quotes with backslashes, for example:

  • "-Res={\"x\": 256}" "-Box={\"x0\": -10, \"x1\": 10}" "-a={\"a_x\": 2.0}" -max_timesteps=51 "-V=lambda x, y, z: 100.0 * np.exp(-(x ** 2 + y ** 2)/ 1.0 ** 2)"

The default path for the results is ~/supersolids/results

Issues

  1. Please read the README.md closely.
  2. If the issue persist please open an "Issue" in git:
    • Click on "New Issue" on https://github.com/Scheiermann/supersolids/issues.
    • Assign a suitable label.
    • Follow the steps on git the to create the issue. Please describe your issue closely (what are your configurations, did it work before, what have you changed, what is the result, what have you expected as a result?).
    • Try to include screenshots.
    • Describe what you think causes the issue and if you have suggestions how to solve it, mention it!
    • Close the issue, if you accidentally did something wrong (but mention that before closing).

Contributing

Please read the CONTRIBUTING.rst.

Metadata

Release files for supersolids 0.1.33

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for supersolids 0.1.33
File Size Uploaded Provenance Actions
supersolids-0.1.33.tar.gz 48.0 kB Without provenance Details for supersolids-0.1.33.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for supersolids 0.1.33
File Interpreter ABI Platform Actions
supersolids-0.1.33-py3-none-any.whl Python 3 none any Details for supersolids-0.1.33-py3-none-any.whl

Total release size: 113.7 kB

Release files / supersolids-0.1.33.tar.gz

Download URL supersolids-0.1.33.tar.gz
Size 48.0 kB
Tags Source
SHA-256 checksum
How to use checksums
01d7068678a577fcf6b8b4a5785a00333128ad22d9e4596c3dd3c1eba7103e7e
BLAKE2b-256 checksum
How to use checksums
9cf832d5ac9611011394cc9c726beb049f7980120b77e0d941f4c2e0b548906c
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.4.1 importlib_metadata/4.6.0 pkginfo/1.7.1 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.2 CPython/3.9.6

Release files / supersolids-0.1.33-py3-none-any.whl

Download URL supersolids-0.1.33-py3-none-any.whl
Size 65.7 kB
Tags Python 3
SHA-256 checksum
How to use checksums
3e20bb598d59745265e058debf332684ab71561180025f99f7dab9ec53f8d961
BLAKE2b-256 checksum
How to use checksums
2854f7c55066395652ccf1e9f34123bf8d711230919ad8c514d96c58d430429b
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.4.1 importlib_metadata/4.6.0 pkginfo/1.7.1 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.2 CPython/3.9.6

Security for supersolids 0.1.33

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page