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Fragmentation modelling
Definition of fragmentation modelling
Fragmentation modelling is a critical analytical capability in the domain of space situational awareness and space domain awareness. It involves the computational simulation and analysis of scenarios where space objects, such as satellites or debris, disintegrate due to collisions, explosions, or other destructive events in orbit.
The purpose of fragmentation modelling is to predict the resultant distribution and trajectory of debris pieces generated by such an event. This modelling helps determine the potential impact on other orbital objects, assess collision risks, and enhance safety protocols in space operations.
Fragmentation modelling provides crucial data for decision-making in space traffic management and operational planning, including the design of mitigation strategies to minimize debris generation and potential collisions, thereby contributing to the long-term sustainability of space activities.
Operational value for risk assessment and response
Fragmentation modelling turns a destructive on orbit event into a quantifiable, time bounded risk picture by estimating how many fragments are created, where they will propagate, and which satellites or orbital regimes are most exposed.
It supports rapid post event response such as:
- prioritizing conjunction screening
- retasking sensors
- issuing operator advisories
- coordinating mitigation actions across constellations and stakeholders
Over the longer term, it informs debris mitigation and resilience planning by identifying the scenarios and architectures that most amplify collision risk and cascade effects.
Detection, cataloguing, and collision avoidance support with Look Up and SYNAPSE
Look Up uses SORASYS radars to detect and track debris in LEO with high reactivity, helping confirm fragmentation events and observe fragment populations that drive operational risk.
SYNAPSE fuses Look Up and external data to catalogue fragments, build object ID cards, and deliver rapid alerts and risk analytics via API or interface.
Together, they support collision avoidance with tailored maneuver recommendations and predictions with a 99.9% accuracy rate to protect fleets after a breakup event.
We deliver space situational awareness (SSA) and space domain awareness (SDA) solutions that help secure active satellites and ensure safe operations in the ever-growing expanse of space.