3D-FLOW OPRA for Level-1 Trigger: A Breakthrough Invention Capable of Extracting ALL Valuable Information from Radiation Providing a Very Powerful Tool to Discover New Particles, Reduce HEP Costs, Advance Science and Benefit Humanity

The 3D-Flow OPRA Level-1 Trigger system is capable of extracting ALL valuable information from radiation, which can save taxpayers millions of dollars in HEP experiments. Unlike the traditional Level-1 Trigger algorithm implementation in “cabled-logic”, or the CERN-CMS approach of executing 128 algorithms, or the costly lower performant FPGA approach, the 3D-Flow architecture allows the execution of billions of different algorithms like a generic processor but has the advantage over any Pentium, Hypercube, or other processor/architecture in that it can execute specialized instructions (or “OPRA steps” for an optimized Object Pattern Real-Time Recognition Algorithm) to identify particles with the capability to execute at each “step” up to 26 operations in less than 3 ns. The 3D-Flow performance is further increased by its bypass switch and North East West South communication channels with neighbors. The 3D-Flow pyramid provides reduction from thousands of input channels to one or a few output channels. A 3D-Flow system with 10,485 Gbps input bandwidth, 8,192 electronic input channels, 43,000 x 3D-Flow processors and the capability to execute up to 40 “OPRA steps” on each processor is technology-independent, feasible in a 36 cm cube of electronics consuming less than 5 kW at a cost of less than ${\$}$10.70 per channel. The 3D-Flow conceptual design allows the input data rate and the complexity of the real-time algorithm to increase satisfying the most stringent requirements, and can be used for tracking applications. It was proven feasible and functional in hardware using two FPGA chips in 2001 and two modular electronic boards in 2003, suitable to build 3D-Flow systems for detectors of any size. The inventor has faced many adversities and suppressions that have delayed its implementation. This caused a monetary burden on taxpayers and curbed the advancement of science that calls for an investigation to fix science as stated in October 2018 issue of Scientific American