Skip to main content

Another Particle Accelerator Code

Project description


Python Version PyPI CI Docs License: GPL v3

apace is yet another particle accelerator code designed for the optimization of beam optics. It is available as Python package and aims to provide a convenient and straightforward API to make use of Python's numerous scientific libraries.


Install and update using pip:

pip install -U apace


  • Python 3.6 or higher (CPython or PyPy)
  • CFFI 1.0.0 or higher
  • NumPy/SciPy
  • Matplotlib

Quick Start

Import apace:

import apace as ap

Create a ring consisting out of 8 FODO cells:

d1 = ap.Drift('D1', length=0.55)
b1 = ap.Dipole('B1', length=1.5, angle=0.392701, e1=0.1963505, e2=0.1963505)
q1 = ap.Quadrupole('Q1', length=0.2, k1=1.2)
q2 = ap.Quadrupole('Q2', length=0.4, k1=-1.2)
fodo_cell = ap.Lattice('FODO', [q1, d1, b1, d1, q2, d1, b1, d1, q1])
fodo_ring = ap.Lattice('RING', [fodo_cell] * 8)

Calculate the Twiss parameters:

twiss = ap.Twiss(fodo_ring)

Plot horizontal and vertical beta functions using matplotlib:

import matplotlib.pyplot as plt
plt.plot(twiss.s, twiss.beta_x, twiss.s, twiss.beta_y)



GNU General Public License v3.0

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for apace, version 0.0.5
Filename, size File type Python version Upload date Hashes
Filename, size apace-0.0.5.tar.gz (51.0 kB) File type Source Python version None Upload date Hashes View

Supported by

Pingdom Pingdom Monitoring Google Google Object Storage and Download Analytics Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page