Install the required Python packages with
$ pip install -r requirements.txt
The requirements.txt file uses major version semver constraints.
To install strict package dependency versions, use
$ pip install -r requirements.txt.lock
Update the lock file to match your environment with
$ pip freeze -r requirements.txt > requirements.txt.lock
This is tested with Python 3.5.1 on 64-bit Linux using an isolated Python Virtual Environment.
Running on OS X or Windows may require more preparation then the single pip install command above.
Installing Python packages globally with sudo pip is not recommended.
Always keep pip updated first with
$ pip install --update pip
If pip is unable to compile the C extensions required by numpy, etc., you generally have two options:
-
Install NumPy and other core SciPy packages via your package manager. Then, install the other requirements normally at the user-level with pip. If using virtual environments with this method, make sure the environment is created with
--system-site-packages. -
Install a Python distribution such as Anaconda that bundles these dependncies and provides tools for managing Python environments.
To use make on OS X, install Xcode, the Apple developer tools.
For Windows, download Make for Windows and place make.exe in your PATH
(or in the project root).
Execute the analysis with
$ make
Output will be saved in the build directory.
Python output will be redirected to stdout.log
and errors to stderr.log.
Remove the build and logs with
$ make clean
Serve the build directory from a local http server on port 8000 with
$ make serve
After generating fits with make, run make serve and load
io.evansosenko.com/fitalyzer/?firebase=spin-lifetime&port=8000&path=/fitalyzer.
Note: you must visit https://localhost:8000 in your browser and accept the SSL certificate for this to work.
This code is licensed under the MIT license
with the exception of any files under the path data/PhysRevLett.105.167202.
All files under the path data/PhysRevLett.105.167202
were compiled from data presented in:
Tunneling Spin Injection into Single Layer Graphene. Wei Han, K. Pi, K. M. McCreary, Yan Li, Jared J. I. Wong, Adrian G. Swartz, and Roland K. Kawakami, Phys. Rev. Lett. 105, 167202 (2010)
This data was used with permission and is available for download: Joint Laboratory for Spintronics Research, Department of Physics and Astronomy, University of California, Riverside.
This software is provided "as is" and without any express or implied warranties, including, without limitation, the implied warranties of merchantibility and fitness for a particular purpose.