Neutrino and related fluxes for particle and astroparticle physics
Project description
The km3flux Python package
About
KM3Flux is a collection of neutrino flux models + assorted utilities to deal with them.
Install
You need Python 3.6+. In your python env, do:
pip install km3flux
or just clone the git repository and install via pip install .
Update or download flux data
The command-line tool km3flux can be used to manage the flux data which is stored in an offline archive:
$ km3flux -h Updates the files in the data folder by scraping the publications. Existing data files are not re-downloaded. Usage: km3flux [-spx] update km3flux (-h | --help) km3flux --version Options: -x Overwrite existing files when updating. -s Include seasonal flux data from Honda. -p Include production height tables from Honda. -h Show this screen. -v Show the version. Currently only the Honda fluxes are download from https://www.icrr.u-tokyo.ac.jp/~mhonda/
Beware that the 2011 dataset is currently not available on the website, so you will see some errors when trying to download them.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
km3flux-2.0.0a1.tar.gz
(2.8 MB
view details)
Built Distribution
File details
Details for the file km3flux-2.0.0a1.tar.gz
.
File metadata
- Download URL: km3flux-2.0.0a1.tar.gz
- Upload date:
- Size: 2.8 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.7.1
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 6a51c4ac04122d37c5df4f463f9beecb398e8961eb98ceb1607dd68334a73c58 |
|
MD5 | cfc6cdf750a6229b8a5e057cafe7be18 |
|
BLAKE2b-256 | 02b2daf7931b69a75461fda9a34b1de31db40c6462e10de69858d83642c2cf56 |
Provenance
File details
Details for the file km3flux-2.0.0a1-py2.py3-none-any.whl
.
File metadata
- Download URL: km3flux-2.0.0a1-py2.py3-none-any.whl
- Upload date:
- Size: 2.8 MB
- Tags: Python 2, Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.7.1
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 60a6f0bbc341c406cbf46ad0dca98f27e474ade3521202fe89212bc4d6513abd |
|
MD5 | 03844c6e145c9cf802e007c3314c15c5 |
|
BLAKE2b-256 | e54ebefc15331738c25ba498dad3d4919e32c8d70b289bb5ccd76f6d914aa7be |