Metadata-Version: 2.1
Name: kenv
Version: 0.3.0.4
Summary: Kapchinscky ENVelope (KENV) -
Home-page: https://github.com/fuodorov/kenv
Author: Vyacheslav Fedorov
Author-email: slava@fuodorov.ru
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
License-File: LICENSE

# Kapchinsky ENVelope (KENV)
[![PyPI version](https://badge.fury.io/py/kenv.svg)](https://badge.fury.io/py/kenv)
[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/fuodorov/kenv/master?filepath=notebooks%2Fintroduction.ipynb)

<!-- Further development will take place in the [binp-dev/kenv](https://github.com/binp-dev/kenv) repository. -->

## The solver of Kapchinsky-Vladimirsky envelope equation for electron beam with space charge.

<a href=mailto:fuodorov1998@gmail.com>V. Fedorov</a>, <a href=mailto:nikdanila@bk.ru>D. Nikiforov</a>, <a href=http://www.inp.nsk.su/~petrenko/>A. Petrenko</a>, (Novosibirsk, 2019)

## Overview

KENV is a solver code for the equation of the envelope of an electron beam with the Kapchinsky-Vladimirsky distribution for accelerator physics.

It is particularly suitable for accelerating an electron beam in direct channels with solenoidal and quadrupole focusing.

In order to use the KENV code correctly, it is **important to read the [Doc](https://fuodorov.github.io/kenv/).**

## Algorithm

The algorithm reduces to lowering the order of the Kapchinsky-Vladimirsky differential equations to the first and subsequent integration.

## Language

KENV completely written in Python.

## Installation

In order to quickly install all the required [Python](https://www.python.org/downloads/) libraries in the new environment, just download [requirements](https://github.com/fuodorov/kenv/blob/master/requirements.txt) and run the command on the command line:

```
pip install -r requirements.txt
```

## Publications

[Publication](http://www1.jinr.ru/Pepan_letters/panl_2020_2/13_nikifor.pdf) in Particles and Nuclei.
