The Novel Observing Strategies Testbed (NOS-T) is a computational testbed for maturing technologies related to the NASA Novel Observing Strategies thrust.
Documentation: https://nost-tools.readthedocs.io
NOS-T tools is a collection of tools for the Novel Observing Strategies Testbed
(NOS-T). Installing nost-tools as an editable Python library requires pip
version 23 or greater (install via python -m pip install --upgrade pip).
To install nost-tools, run the following command from the project root
directory:
pip install -e .
Alternatively, to install supplemental libraries required for examples, run
pip install -e .[examples]
Principal Investigator: Paul T. Grogan paul.grogan@asu.edu
This material is based on work supported, in whole or in part, by the U.S. Department of Defense and National Aeronautics and Space Administration Earth Science Technology Office (NASA ESTO) through the Systems Engineering Research Center (SERC) under Contract No. W15QKN-18-D-0040. SERC is a federally funded University Affiliated Research Center managed by Stevens Institute of Technology. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the United States Department of Defense.
This research has made use of NASA Goddard Science Managed Cloud Environment (SMCE), which is a service of the Computational & Information Sciences and Technology Office at the NASA Goddard Space Flight Center.
Current project team:
- PI: Paul T. Grogan paul.grogan@asu.edu
Project alumni:
- Hayden Daly
- Matthew Brand
- Jerry Sellers
- Brian Chell
- Matthew LeVine
- Leigha Capra
- Theodore Sherman
- Alex Yucra Castaneda