TAITherm uses a multi-grid method for solving the heat transfer equations. This method allows the solver to efficiently converge in a small number of iterations for even finely meshed models. The solver runs in parallel using local or distributed memory, easily making use of multi-core workstations or HPC resources.

TAITherm takes all modes of heat transfer into account. Gain a full and accurate picture of the thermal interactions your product will undergo.

Place your sensor at any range, lookdown angle, and azimuth, whether at short range near ground or from aerial and satellite platforms. MuSES takes care of the rest, computing source radiance for both targets and backgrounds, direct, diffuse, and reflected solar, and spectral sources like sky radiance and water reflections. The source radiance is then spectrally attenuated back to the sensor location. Easily script up multiple ranges and LOS’s to build a complete library of band-specific contrast values.

Often probability of detection (POD) is computed for numerous ranges from target to sensor; with MuSES you can consider it done. But don’t stop there. MuSES enables your team to test low observables designs, examine operational profiles for vulnerable, high-contrast situations, and even plan the best times for execution. Because MuSES deals in reality, you get accurate POD metrics and can design, plan and develop systems with speed and confidence.

Observing individuals, ships, vehicles, and aircraft on the ground from satellites and aerial platforms requires accurate atmospheric attenuation along the sensor line of sight. MuSES employs calls to MODTRAN, the benchmark for physics-based atmospheric radiance computations, along with weather data and solar intensity to yield accurate renderings of ground-based assets. Solar loading, thermal shadows, and thermal lag are all computed over long time periods to accurately capture the temperature distribution and source radiances for the sensor wave band. Rendering with multi-bounce ray tracing yields physically accurate and realistic contrast metrics.

Using texture mapping, remote imagery can be used to impose a temperature distribution on terrains. This enables you to drive an aerial scenario with realistic terrain temperature distribution on a faceted background component. Targets can be placed on the terrain and rendered against complex, cluttered backgrounds.

MuSES includes the globes’ most advanced thermal solver, employed by the leading vehicle and aircraft OEMs to rapidly solve thermal management problems. Because many EO/IR signature challenges are rooted in thermal behavior, MuSES accurately simulates heat transfer and can thus be a virtual test platform for low observables kits or primary system analysis.

CoTherm facilitates the flow of information between CAE programs, enabling efficient and versatile coupling of complex processes. Once your process is developed, you can quickly and easily share it between teams or departments.

CoTherm eliminates scripting between coupling programs, which makes the process much easier. Run simulations and analyze the results using post- processing features such as the interactive heat map to solve problems in a fraction of the time that you would by using scripts.