Evolution of the transversity parton distribution functions via two methods: (1) direct integration of the DGLAP equations along the energy scale and (2) fast Mellin inversion.
Project description
tParton
Copyright 2024 Congzhou M Sha
This is an evolution code for the transversity parton distribution functions encountered in hadronic physics.
Installation
First, install this package using pip install tparton
.
Running tParton as a standalone script
To evolve a transversity pdf, run the command python -m tparton m
. This uses the Mellin moment by default. To use the energy scale integration method, run the command python -m tparton t
. Use python -m tparton m -h
or python -m tparton t -h
for help.
An example run will look like:
python -m tparton m INPUTPDF.dat 3.1 10.6 --morp plus -o OUTPUTPDF.dat
We are evolving the INPUTPDF.dat
from 3.1 to 10.6 GeV2, for the plus type distribution, and with output written to OUTPUTPDF.dat
.
Importing the tParton package
To use the Hirai ODE integration method:
from tparton.t_evolution import evolve
To use the Vogelsang Mellon moment method:
from tparton.m_evolution import evolve
Run help(evolve)
for a description of the inputs.
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
Built Distribution
File details
Details for the file tparton-0.2.1.tar.gz
.
File metadata
- Download URL: tparton-0.2.1.tar.gz
- Upload date:
- Size: 7.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.4
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 0ad317d8024360c1d8cecd868449038b3c59934076628d316e81774d6ac262d3 |
|
MD5 | 5673852c5dcc39968667e46d69784fac |
|
BLAKE2b-256 | 77c99dff2449a47300511038219f673172319a10a45553dae98871da95b15a52 |
Provenance
File details
Details for the file tparton-0.2.1-py3-none-any.whl
.
File metadata
- Download URL: tparton-0.2.1-py3-none-any.whl
- Upload date:
- Size: 14.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.4
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | f8141d7768440e01918218d3607d9717941c6962fd581f3101748c715a82fd2a |
|
MD5 | a38eadd25f1f00001141d8ecf2985a09 |
|
BLAKE2b-256 | ee340496edef004e6697828608bb70c399e1d62aa7c992ab0a35ca046af76258 |