Tradespace Analysis Toolkit for Constellations (TAT-C)

The Tradespace Analysis Toolkit for Constellations (TAT-C) provides low-level data structures and functions for systems engineering analysis and design of Earth-observing space missions suitable for pre-Phase A concept studies.

Documentation: https://tatc.readthedocs.io

Repository: https://github.com/code-lab-org/tatc

Installation

TAT-C uses the pip build system to manage dependencies. Install the tatc library in "editable" mode:

pip install -e .

Note: the following optional dependencies are available with bracket notation:

• pip install -e ".[dev]": for development (unit testing, coverage, and linting)
• pip install -e ".[docs]": for generating documentation
• pip install -e ".[examples]": for running optional examples
• pip install -e ".[osse]": for running optional observing system simulation experiment (OSSE) examples
• pip install -e ".[app]": for running the web application
• pip install -e ".[appdev]": for development (unit testing) of the web application

Multiple optional dependencies can be installed with a comma-separated list (e.g., pip install -e ".[dev,examples]")

Development Tools

Development tools are applicable when working with the source code.

Unit Tests

Run unit tests with:

python -m unittest

Optionally, run a test coverage report:

coverage run -m unittest

including html output:

coverage html

Documentation

Generate documentation from the docs directory using the command:

make html

Code Style

This project uses the black code style, applied from the project root:

black .

Contact

Paul T. Grogan paul.grogan@asu.edu

Acknowledgements

This project was supported in part by the National Aeronautics and Space Administration (NASA) Earth Science Division (ESD) Earth Science Technology Office (ESTO) Advanced Information Systems Technology (AIST) program under grant numbers: NNX17AE06G, 80NSSC17K0586, 80NSSC20K1118, 80NSSC21K1515, 80NSSC22K1705 and 80NSSC24K0575 and NASA Jet Propulsion Laboratory contracts: 1074657, 1689594, 1686623, 1705655.

Current Project Team

• PI: Paul T. Grogan paul.grogan@asu.edu
• I. Josue Tapia-Tamayo josue.tapia@asu.edu
• Suvan Kumar skuma208@asu.edu

Project Alumni

• Isaac Feldman
• Hayden Daly
• Lindsay Portelli
• Matthew Sabatini
• Evan Abel
• Sigfried Hache