Accurately modelling the atmosphere across a broad range of the electromagnetic spectrum is essential to many electro-optical and infrared physics simulations in complex environments (land, sea and air). However, detailed spectral models of the atmosphere are very large and rendering them in real-time leads to trade-offs between simulation speed and accuracy, potentially tarnishing the validity of the simulation. Infinite Studio is a collection of plugins powered by Unreal Engine, offering real-time performance and development tools for simulations in these complex environments within the visible and infrared wavebands. Infinite Studio utilises atmospheric models from the software package MODTRAN to render spectrally accurate atmospheres for simulation. This talk will cover the approximations that have been made in Infinite Studio to streamline and optimise the MODTRAN outputs without degrading the accuracy of the data. These approximations are useful for any application using MODTRAN’s atmospheric models which seeks to improve performance efficiency.

Creating valid computer models of photonic infrared cameras is crucial for many simulation applications in both civilian and defence settings. We used EMVA standard 1288 following the photon transfer technique to characterise six photonic infrared cameras from Teledyne FLIR. The six cameras spanned the short-wave infrared, mid-wave infrared, and long-wave infrared wavebands. The performance parameters of these cameras were imported into the Unreal Engine simulation program using Aurizn's “Infinite Studio” plugins to create six digital clones. We compared the simulated outputs with the measured results to validate Infinite Studio's camera model. Our comparison showed sub-percentage level agreement for the short-wave and mid-wave infrared cameras and showed agreement to the few-percent level for the long-wave cameras, proving the accuracy of the Infinite Studio suite of radiometric plugins for Unreal Engine. This talk will discuss the methods of characterising infrared cameras for use in simulations.