A virtual FIR telescope

Far-InfraRed Emission Networks (FIRE-net) is a machine learning framework that aims to estimate the far-infrared (FIR) spectral energy distribution (SED) of a galaxy, based on the ultraviolet to mid-infrared (UV–MIR) SED.

FIR radiation is emitted by cold dust, and hence distinct from the UV–NIR SED which is emitted by stars. The FIR is very hard to observe, and currently no FIR space telescopes are available or even confirmed. By predicting it from the UV–MIR we can build a "virtual telescope", which can bridge the gap until the next FIR space mission.