Generation of fused environmental and compositional information

A method for compositional visualization, comprising:

• obtaining contextual information of an environment from a sensor;
• generating, at a particle generator, based, at least in part, on the contextual information, a first stream comprising one or more types of particles;
• receiving a second stream comprising one or more detectable products at a detector, wherein the second stream is generated by interaction of the first stream with the environment;
• transforming the received second stream into compositional data;
• and
• merging the compositional data with the contextual information of the sensor to generate a merged digital representation to guide re-positioning of the sensor, the particle generator, and the detector.

A deployable apparatus for compositional visualization, the deployable apparatus comprising:

• one or more processors;
• and
• memory including computer-executable instructions that, when executed by the one or more processors, cause the apparatus to:
• generate a model of an environment using contextual information collected by a sensor;
• generate measurements of one or more attributes of the environment using data obtained by a detector, wherein the detector is to detect a set of detectable products produced via interactions of a set of particles with the environment at a location identified based, at least in part, on the contextual information;
• combine the measurements of the one or more attributes with the model of the environment to generate a fused representation;
• and
• update the fused representation based, at least in part, on changes to the contextual information collected by the sensor.