pyhf-based implementation of the ABCD method for background estimation
Instructions for LXPLUS
The code can be run on LXPLUS by following the instructions below.
Create a virtual Python environment:
python3 -m venv abcd-pyhf
This will create a directory named abcd-pyhf that will contain all the necessary packages to run the code.
Activate the virtual Python environment with the following command:
source abcd-pyhf/bin/activate
You can shut down the virtual Python environment at any time with the Bash command deactivate.
You can later reactivate the environment by running the Bash command source abcd-pyhf/bin/activate.
To run the code, you will have to download the necessary packages in the Python environment (this only needs to be done once):
pip install --upgrade pip
pip install abcd-pyhf
You can then use the package in Python:
from abcd_pyhf import ABCD
1 maintainer
Metadata
1 maintainer
Release files for abcd-pyhf 0.0.7
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| abcd_pyhf-0.0.7.tar.gz | 8.7 kB | Without provenance | Details for abcd_pyhf-0.0.7.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| abcd_pyhf-0.0.7-py3-none-any.whl | Python 3 | none | any | Details for abcd_pyhf-0.0.7-py3-none-any.whl |
Total release size: 16.1 kB
Release files / abcd_pyhf-0.0.7.tar.gz
| Download URL | abcd_pyhf-0.0.7.tar.gz |
|---|---|
| Size | 8.7 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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twine/6.0.1 CPython/3.12.4
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Release files / abcd_pyhf-0.0.7-py3-none-any.whl
| Download URL | abcd_pyhf-0.0.7-py3-none-any.whl |
|---|---|
| Size | 7.5 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/6.0.1 CPython/3.12.4
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Security for abcd-pyhf 0.0.7
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