Strands
Standing waves approximations for the n-dimensional Schrödinger problem (with n = 2).
Strands is a library to compute eigenvalues of two-dimensional time-independent Schrödinger equations. $$ -\nabla \psi(x, y) + V(x, y) \psi(x, y) = E \psi(x, y) $$ The library is written in C++ with Python-bindings.
Installation
Installing it is as simple as
pip install strands
Examples
Harmonic oscillator on a circular domain
Consider the harmonic oscillator potential $$ V(x, y) = x^2 + y^2 $$ on the circular domain around zero with radius $9.5$.
from strands import Schrodinger2D , Circle
def V(x, y):
return x * x + y * y
schrodinger = Schrodinger2D(V, Circle ((0, 0), 9.5), gridSize=(40, 40), maxBasisSize=30)
print(schrodinger.eigenvalues(10))
The values gridSize and maxBasisSize determine how accurate the used method has to be.
Eigenfunctions can be computed with:
import matplotlib.pyplot as plt
import numpy as np
xs = np.linspace(-4, 4, 100)
ys = np.linspace(-4, 4, 100)
X, Y = np.meshgrid(xs, ys)
for E, f in schrodinger.eigenfunctions(3):
plt.pcolormesh(X, Y, f(X, Y))
plt.show ()
Development
This is developed in C++ with CMake. To get started, make a recursive clone:
git clone --recursive https://github.com/twist-numerical/strands.git
cd strands
To compile and run the tests the following can be used:
mkdir build && cd build
cmake -DCMAKE_BUILD_TYPE=Release -DSTRANDS_PYTHON=OFF .. # Build without python
cmake --build . --target strands_test
./strands_test --durations yes
Metadata
Release files for Strands 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| Strands-0.1.0.tar.gz | 34.9 kB | Details |
Built distributions (wheels)
Total release size: 23.6 MB
Release files / Strands-0.1.0.tar.gz
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| Tags | Source |
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Release files / Strands-0.1.0-pp39-pypy39_pp73-win_amd64.whl
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Release files / Strands-0.1.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.16
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Release files / Strands-0.1.0-cp37-cp37m-win_amd64.whl
| Download URL | Strands-0.1.0-cp37-cp37m-win_amd64.whl |
|---|---|
| Size | 597.9 kB |
| Tags | CPython 3.7 CPython 3.7 pymalloc Windows x86-64 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.16
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Release files / Strands-0.1.0-cp37-cp37m-musllinux_1_1_x86_64.whl
| Download URL | Strands-0.1.0-cp37-cp37m-musllinux_1_1_x86_64.whl |
|---|---|
| Size | 1.2 MB |
| Tags | CPython 3.7 CPython 3.7 pymalloc Linux musl 1.1+ x86-64 |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.16
|
Release files / Strands-0.1.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
| Download URL | Strands-0.1.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
|---|---|
| Size | 636.2 kB |
| Tags | CPython 3.7 CPython 3.7 pymalloc Linux glibc 2.17+ x86-64 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.16
|
Release files / Strands-0.1.0-cp37-cp37m-macosx_10_9_x86_64.whl
| Download URL | Strands-0.1.0-cp37-cp37m-macosx_10_9_x86_64.whl |
|---|---|
| Size | 613.7 kB |
| Tags | CPython 3.7 CPython 3.7 pymalloc macOS 10.9+ x86-64 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.16
|
Release files / Strands-0.1.0-cp36-cp36m-win_amd64.whl
| Download URL | Strands-0.1.0-cp36-cp36m-win_amd64.whl |
|---|---|
| Size | 597.8 kB |
| Tags | CPython 3.6 CPython 3.6 pymalloc Windows x86-64 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.16
|
Release files / Strands-0.1.0-cp36-cp36m-musllinux_1_1_x86_64.whl
| Download URL | Strands-0.1.0-cp36-cp36m-musllinux_1_1_x86_64.whl |
|---|---|
| Size | 1.2 MB |
| Tags | CPython 3.6 CPython 3.6 pymalloc Linux musl 1.1+ x86-64 |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.16
|
Release files / Strands-0.1.0-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
| Download URL | Strands-0.1.0-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
|---|---|
| Size | 636.2 kB |
| Tags | CPython 3.6 CPython 3.6 pymalloc Linux glibc 2.17+ x86-64 |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.16
|
Release files / Strands-0.1.0-cp36-cp36m-macosx_10_9_x86_64.whl
| Download URL | Strands-0.1.0-cp36-cp36m-macosx_10_9_x86_64.whl |
|---|---|
| Size | 613.8 kB |
| Tags | CPython 3.6 CPython 3.6 pymalloc macOS 10.9+ x86-64 |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.16
|