Novel Observing Strategies Testbed (NOS-T)

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 Installation

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]

Contact

Principal Investigator: Paul T. Grogan paul.grogan@asu.edu

Acknowledgements

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
Research Scientist: Emmanuel M. Gonzalez emmanuelgonzalez@asu.edu

Project alumni:

Hayden Daly
Matthew Brand
Jerry Sellers
Brian Chell
Matthew LeVine
Leigha Capra
Theodore Sherman
Alex Yucra Castaneda

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