An FPGA-based data acquisition system for directional dark matter detection
| Autor: | Catherine Nicoloff, Aravind Sridhar, Chen Yang, Martin C. Herbordt, James Battat, Jiayi Sheng |
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| Rok vydání: | 2017 |
| Předmět: |
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010308 nuclear & particles physics Computer science business.industry Detector Dark matter ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION STRIPS 01 natural sciences law.invention Data acquisition law 0103 physical sciences Field-programmable gate array business 010303 astronomy & astrophysics Sensitivity (electronics) Order of magnitude Computer hardware |
| Zdroj: | HPEC |
| DOI: | 10.1109/hpec.2017.8091079 |
| Popis: | Directional dark matter detection seeks to reconstruct the angular distribution of dark matter particles traveling through the laboratory. A directional detector with high spatial resolution has the potential to increase the sensitivity per unit volume by over two orders of magnitude, but requires the development of a high-channel-count, high-speed readout system. This paper describes an FPGA-based digital back-end system to handle a 16Gbps data stream from 103 independent detector channels sampled at 1 MHz. Results of an implementation of this system are presented, along with plans for future development. |
| Databáze: | OpenAIRE |
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