IWPC
A framework for divergence based inference and detector response modelling for experimental physics. Implements the methods in arXiv:2405.06397 and frameworks for detector response modeling
Install using pip install iwpc
Please see the package README on GitHub for more information and some examples.
1 maintainer
Metadata
1 maintainer
Release files for iwpc 0.11.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| iwpc-0.11.0.tar.gz | 118.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| iwpc-0.11.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 288.8 kB
Release files / iwpc-0.11.0.tar.gz
| Download URL | iwpc-0.11.0.tar.gz |
|---|---|
| Size | 118.4 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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twine/6.1.0 CPython/3.11.9
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Release files / iwpc-0.11.0-py3-none-any.whl
| Download URL | iwpc-0.11.0-py3-none-any.whl |
|---|---|
| Size | 170.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.11.9
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