Skip to main content

FAST is an acronym for FAST Atomic Spectroscopy from Theory.

Project description

This is FAST, an acronym for FAST Atomic Spectroscopy from Theory.

This software derives and solves optical Bloch equations efficiently. This can be done for an arbitrary number of atomic states and radiation fields. The equations are used primarily to produce theoretical spectra.

A library of properties of alkali atoms (currently rubidium and cesium) is included to produce physically accurate equations from first principles or from tables of measured quantities.

Symbolic derivations of the equations are also implemented.


This software requieres gfortran, numpy, matplotlib, lapack, sympy and scipy to run. This is done in the following steps:

1.- Install the Python dependencies by installing Anaconda, that is Continuum’s Python distribution from

2.- Install the non-Python dependencies. In Ubuntu, the fortran dependencies (and git) can be installed with:

$ sudo apt-get install gfortran liblapack-dev git

Other operative systems are not supported at the moment, but FAST should become OS independent in the following releases (with Fortran being optional).

3.- Install FAST. To get the latest stable version of FAST use the command:

$ pip install fast-atomic

To get the latest unstable version (this requires git):

$ pip install git+git://

To upgrade to the latest stable version:

$ pip install fast-atomic --upgrade

To upgrade to the latest unstable version (this requires git):

$ pip install git+git:// --upgrade

To uninstall:

$ pip uninstall fast-atomic

Using FAST

Once this completed example jupyter notebooks can be downloaded from

And they can be ran using

$ jupyter notebook


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 fast-atomic, version 1.1.2
Filename, size File type Python version Upload date Hashes
Filename, size fast_atomic-1.1.2-py2-none-any.whl (71.2 kB) File type Wheel Python version py2 Upload date Hashes View
Filename, size fast-atomic-1.1.2.tar.gz (64.7 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