26 October 1983 Optical Data Processor Using Computer Generated Hologram For High Energy Physics Experiments
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Abstract
In high energy physics experiments, pattern recognition in digital or analog data, is a current technical problem. Considerable effort is expended in these experiments in the development of real time and high speed decision making logic which is used as a rapid filter to enrich data samples with events of desired character. Optical processing techniques are a novel approach to this problem. It offers the advantage of parallel data treatment with a decision speed within 100 ns depending on the optoelectronic devices. A Prototype device was constructed in conjunction with a high energy physics experiment at Brookhaven National Laboratory in which the input data are transformed into an optical pattern through an array of LED's. The device is an incoherent correlator with a kinoform filter; The results are presented and discussed. Other applications are possible in which a computer generated hologram, like a kinoform, acts as an optical element which transforms points on a curve into parameters of that curve. This can solve a major problem in particle physics which is to recognize straight lines in parallel plate detectors. The recent progress and development of Ring Imaging Cerenkov Detectors need to detect a pattern on which the photons are disposed on a circle. It does appear that a great deal in the high energy physics will involve the production of jets. By driving light sources whose intensity is proportional to particle energy and by using a filter which contains geometrical informations, it is possible to calculate variables relating directly to jets, in real time.
© (1983) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
J. Gresser, P. Ambs, "Optical Data Processor Using Computer Generated Hologram For High Energy Physics Experiments", Proc. SPIE 0437, Intl Conf on Computer-Generated Holography, (26 October 1983); doi: 10.1117/12.937144; https://doi.org/10.1117/12.937144
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