Tradespace Analysis Toolkit for Constellations

Overview

TAT-C is a mission engineering tool for early-stage (pre-Phase A) analysis and design of Earth science space missions. This Python language library provides the low-level library to model observing systems and analyze their performance.

Contents

• Installation
• Web Application
• Examples
• API Reference

Contact

Principal Investigator: Paul T. Grogan <pgrogan@stevens.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, and 80NSSC21K1515.

Current project team:

• PI: Paul T. Grogan <pgrogan@stevens.edu>

• I. Josue Tapia-Tamayo <itapiata@stevens.edu>

Project alumni:

• Isaac Feldman (2020-2022)

• Hayden Daly (2019-2021)

• Evan Abel (2019)

• Lindsay Portelli (2018)

• Matthew Sabatini (2017-2018)

• Sigfried Hache (2016-2017)