FAST-PT
FAST-PT is a code to calculate quantities in cosmological perturbation theory at 1-loop (including, e.g., corrections to the matter power spectrum). The code utilizes Fourier methods combined with analytic expressions to reduce the computation time to scale as N log N, where N is the number of grid points in the input linear power spectrum.
Easy installation with pip:
pip install fast-pt- Note: use
--no-depsif you use a conda python distribution, or just use conda installation
Easy installation with conda:
conda install fast-pt
Full installation with examples:
- Make sure you have current version of numpy, scipy, and matplotlib
- download the latest FAST-PT release (or clone the repo)
- install the repo:
python -m pip install . - run the most recent example:
cd examples && python3 hello_fastpt.py - hopefully you get a plot!
- for a more in-depth example of new features:
cd examples && python3 v4_example.py - for older examples see the 'examples' folder
Our papers (JCAP 2016, 9, 15; arXiv:1603.04826) and (JCAP 2017, 2, 30; arXiv:1609.05978) describe the FAST-PT algorithm and implementation. Please cite these papers when using FAST-PT in your research. For the intrinsic alignment implementation, cite PRD 100, 103506 (arXiv:1708.09247).
FAST-PT is under continued development and should be considered research in progress. FAST-PT is open source and distributed with the MIT license. If you have comments, questions, or feedback, please file an issue.
1 maintainer
Metadata
1 maintainer
Release files for fast-pt 4.1.1
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 | |
|---|---|---|---|---|
| fast_pt-4.1.1.tar.gz | 80.2 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| fast_pt-4.1.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 148.3 kB
Release files / fast_pt-4.1.1.tar.gz
| Download URL | fast_pt-4.1.1.tar.gz |
|---|---|
| Size | 80.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
b109e9fd93eed7b739b3d1198ee2d4d9cad7f4ba342b5b69d1f7dfefbbcc1f7e
|
|
BLAKE2b-256 checksum How to use checksums |
cc6bbda90401cd34574d498d51a43df0f7bf2d6d013c7b5e88ca41ef4586ed7d
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Release files / fast_pt-4.1.1-py3-none-any.whl
| Download URL | fast_pt-4.1.1-py3-none-any.whl |
|---|---|
| Size | 68.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
74ff73fbb061a5cc1869f4f715b258831b71575b03091f275583429984aceb9b
|
|
BLAKE2b-256 checksum How to use checksums |
769ed9412f0094c50271327fea6c86e9f7b28e00512d876be5b7968e71623fd9
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Security for fast-pt 4.1.1
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.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
