ibei - Calculator for incomplete Bose-Einstein integral
This README is a quickstart. See the full documentation for more details.
Scope
The ibei python module implements a calculation of the
upper-incomplete Bose-Einstein integral which is given in terms of
the polylogarithm
function and described by
Smith.
Installation
This package is installable via pip.
pip install ibei
Alternatively, download the source, install
hatch, and build.
git clone git@github.com:jrsmith3/ibei.git
pip install hatch
hatch build
pip install dist/ibei-1.0.6.tar.gz # Or whatever is the latest version in that directory.
Example
Calculate the number of above-bandgap photons from Si at 300K.
>>> import ibei
>>> bandgap = 1.1
>>> bei = ibei.BEI(order=2, energy_bound=bandgap, temperature=300., chemical_potential=0.)
<Quantity 10549124.09538381 1 / (m2 s)>
License
MIT
Documentation
Full documenation can be found in the doc directory, at the
official documentation page, and
within the module's docstrings.
Metadata
Release files for ibei 2.0.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| ibei-2.0.4.tar.gz | 44.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| ibei-2.0.4-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 51.6 kB
Release files / ibei-2.0.4.tar.gz
| Download URL | ibei-2.0.4.tar.gz |
|---|---|
| Size | 44.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
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BLAKE2b-256 checksum How to use checksums |
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Yes |
| Uploaded via |
twine/6.1.0 CPython/3.12.9
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Transparency logRelease files / ibei-2.0.4-py3-none-any.whl
| Download URL | ibei-2.0.4-py3-none-any.whl |
|---|---|
| Size | 7.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
cdac00966b0fd918fdcd838e59ac14e997a101bb432a153295c7914eae146e94
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|
BLAKE2b-256 checksum How to use checksums |
ba0ccebb04c52b70db2cc9817351d548c63852096807be683d6e0438c26a3fe4
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.12.9
|
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.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
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