QuickBBEE
Overview
QuickBBEE is a python library created for our 2nd year in computer sciences bachelor project. This package enables faster calculations of EE and BB spectra, leveraging models trained on data generated by CAMB. Basically, the ultimate goal of QuickBBEE is to generate EE and BB spectra like CAMB, but faster, using a trained Neural Network model we created using cosmopower.
Installation
We recommend installing bbee.py within a Conda virtual environment.
For example, to create and activate an environment called cp_env, use:
conda create -n cp_env python=3.7 pip && conda activate cp_env
Once inside the environment, you can install bbee.py:
-
from PyPI
pip install quickbbeeTo test the installation, you can use
python3 -c 'import quickbbee as quick' -
from source
git clone https://github.com/jusdelio/QuickBBEE cd quickbbee pip install -e .To test the installation, you can use
pytest
If you are interested in how we trained the two models, follow this link
Metadata
Release files for quickbbee 1.0.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| quickbbee-1.0.2.tar.gz | 15.1 MB | Without provenance | Details for quickbbee-1.0.2.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| quickbbee-1.0.2-py3-none-any.whl | Python 3 | none | any | Details for quickbbee-1.0.2-py3-none-any.whl |
Total release size: 30.2 MB
Release files / quickbbee-1.0.2.tar.gz
| Download URL | quickbbee-1.0.2.tar.gz |
|---|---|
| Size | 15.1 MB |
| 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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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.0 CPython/3.12.3
|
Release files / quickbbee-1.0.2-py3-none-any.whl
| Download URL | quickbbee-1.0.2-py3-none-any.whl |
|---|---|
| Size | 15.1 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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|
|
BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.0 CPython/3.12.3
|
Security for quickbbee 1.0.2
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No provenance found
None of the files in this release were uploaded with provenance metadata.
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