A systems-engineering software named LabVIEW was used for modelling & testing. LabVIEW is a development environment for a visual programming language, offering thousands of analysis functions.

One of the many reasons why my work was so impressive was the mathematical model created to accurately predict complex phenomena that relay pivotal diagnostic information on this system. The reason why this model is interesting is that it is essentially a work-around for modern instrumentation problems. On a plasma-scale, important phenomena like electron density can be as tiny as 10^-12/cm². In decimal notation, this figure would be 0.000000000001 electrons per cubic centimeter. My mathematical model could predict such phenomena with precision.

Python Anaconda was used to analyse recorded data, allowing for the smooth implmentation of systems engineering practices.

A high-quality plasma system with monumentally improved performance. To put the quality of this system into perspective, some of the most acclaimed plasma systems I studied could run for 3-6 hours on end before breaking down or being at high risk of breaking down. The plasma system I improved could run for much longer due to its unique implementation at atmospheric pressure.

An interesting aspect of such a system is its ability to maintain performance with relatively cheaper components at very high temperatures. The vibrational energy of electrons was suspected to be as far as 15,000K, yet the system temperature around the plasma remained safe-to-touch.

This system is currently under further research and is soon-to-be published formally in a Physics Journal.