Hello! Welcome to pyssem 👋

pySSEM is a tool that investigates the evolution of the space objects population in Low Earth Orbit (LEO) by exploiting a new probabilistic source-sink model. The objective is to provide tools to understand the dynamics of the space environment and to predict the future distribution of space objects. This is an extension of MOCAT (MIT Orbital Capacity and Assessment Tool).


This is carried out through the long-term propagation of the proposed source-sink model, which globally takes into account different object species, such as active satellites, derelict satellites, debris, and additional subgroups. Since the Space Objects (SOs) are propagated as species, the information about single objects is missing, but it allows the model to be computationally fast and provide essential information about the projected future distribution of SOs in the space environment for long prediction horizons.

Me speaking on stage at React Summit about the future of Next.js
Me standing on stage at Reactathon delivering the keynote
Me and Guillermo Rauch on stage for Vercel Ship, answering questions from the Next.js community
Me, Lydia, and Delba filming the Next.js Conf keynote
My badge on top of a pile of badges from a Vercel meetup we held
Me standing on stage at SmashingConf giving a talk about my optimism for the web

This web app allows users to easily interact with Source-Sink Envrionmental Models (SSEMS) in order to try and aim for everyone to get involved in understanding what the future of space will be like.