Researchers create better radiation detector inspired by Tetris, using computational methods to pinpoint dispersed radiation sources.
Accurate beam angle reconstruction relies on AI-guided analysis of sensor signals, considering relative intensities and detection times in simulated systems.Researchers have devised an improved radiation detector, drawing inspiration from the popular game Tetris.The demonstration also showed how they might locate the source’s precise location by moving the sensor around to obtain several readings.
Tetris-inspired radiation mapping and directional detection using neural networks for predictive analysis with static Tetris detectors. However, the team discovered they could nearly equal the precision of the massive, costly systems by utilizing as few as four pixels grouped in the tetromino forms of the “The secret lies in the accurate computer reconstruction of the beams’ arrival angles, which depends on the relative intensities and times at which each sensor detects the signal. This reconstruction is done using an AI-guided analysis of simulated systems.
“The merit of using a small detector is in terms of engineering costs. Not only are the individual detector elements expensive, typically made of cadmium-zinc-telluride, or CZT, but all of the interconnections carrying information from those pixels also become much more complex,” said Ryotaro Okabe, a research student at MIT and the project lead, in a
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