/CTF_Explorer

Small application for exploring aliasing effects of CTF on data collection parameters

Primary LanguageJupyter NotebookMIT LicenseMIT

CTF_EXPLORER

A smallish application for exploring CTF aliasing effects due to data collection parameters as discussed here.

Requirements

It should be consistent across older versions of Python, but this was what I tested it using:

  • Python (Version >= 3.7.6)
  • numpy (Version >= 1.18.1)
  • IPython (Version >= 7.12.0)
  • ipywidgets (Version >= 7.5.1)
  • plotly (Version >= 4.8.1)
  • appmode (Version >= 0.8.0)

Usage

Binder

Just click the badge above to run a Binder instance of the application or you can install and run it locally on your system:

  1. git clone https://github.com/DustinMorado/CTF_Explorer.git
  2. cd CTF_Explorer
  3. conda env create -f environment.yml
  4. conda activate ctf-explorer
  5. jupyter notebook --no-browser
  6. Browse to http://localhost:8888/apps/CTF_Explorer.py

Licensing

Distributed under the MIT License please see LICENSE.txt for more information.