On this episode on the Cold Star Project, hosted by Jason Kanigan, our guest is Dr. Moriba Jah. Dr. Jah had an amazing career as navigator of a number of NASA Mars missions, and is now Director, Computational Astronautical Sciences & Technologies, Oden Institute at the University of Texas at Austin.  

I was referred to Dr. Jah by Fred Kennedy, past director of the US Space Development Agency, as a person "leading the charge" on space traffic management.  

In our interview, we cover:  

the reason current collision detection equations are so lousy, and what we can do to improve them
how photoacoustic sensing can be improved and used to develop Resident Space Object (RSO) signatures
what we need to learn before machine learning/AI can be used to identify threatening behaviors or as a forensic tool after anomalous events
what credibility metrics are for collision prevention, what's missing, and why we need these
how Bayesian equations can be used to improve our space tracking data, orbital collision detection models and certainty
what curved space is, and what is challenging about modeling RSO travel within it
what we can investigate and build so we have a tool to estimate debris fields upon reentry--no models of which exist now.  


Notes: 

Dr. Moriba Jah's article on Wikipedia: https://en.wikipedia.org/wiki/Moriba_Jah 

Orekit database by CS Group (creator of which will be a guest on an upcoming episode): https://www.orekit.org/  

Playlist: https://coldstartech.com/play 

Subscribe: https://coldstartech.com/subs 

Talk to Cold Star Tech: https://coldstartech.com/bookcall  

Jason Kanigan is producing a weekday update series of short videos, called Make Space Boring. These cover who he's meeting and what he's studying in the space field. If you'd like to follow along, sign up here for updates by email: https://www.coldstartech/msb

Ver todos los episodios