Ultra-Fast Silicon Detectors
文献类型：影音
| 作者 | Prof.Hartmut Sadrozinski |
| 发表日期 | 2015-09-25 |
| 关键词 | 创新论坛238期 2015年 |
| 英文摘要 | Prof.Hartmut F.-W.Sadrozinski（Santa Cruz Institute for Particle Physics SCIPP，University of California Santa Cruz） His work has been centered on developing instruments optimized for locating charged particles with high precision. Over the course of his career he has improved tracking measurements of charged particles at very high rate in High Energy Particle Physics (HEP) and then translated the technology to Astrophysics and Medical Physics. The major paradigm changing contribution was the introduction of fast, low-power, radiation resistant readout electronics for silicon strip sensors, first at the electron-proton collider HERA at the DESY laboratory in Germany, then at the LHC where in 2012 we discovered the Higgs Boson, the last remaining piece of the Standard Model of Elementary Particle Physics. For the extension of the CERN particle physics program in the High-Luminosity LHC, he is developing novel radiation-hard and ultra-fast silicon sensors (UFSD). He successfully transferred the large-scale silicon strip detector technology from accelerator based physics into space in the large-scale silicon tracker of the Fermi mission. The development and testing of sensors and electronics which can survive the harsh radiation environment in space was a major success. Starting in 2001, he worked on technology transfer of large-scale HEP instrumentation into medical research and introduced the use of silicon strip sensors in Nanodosimetry and in Proton Computed Tomography. Their recently finished Phase II pCT head scanner funded by NIH is exceeding the expected data rate of 1 Million protons per second, and they are testing this new imaging modality in several hospitals. |
| 源URL | [http://ir.ihep.ac.cn/handle/311005/211586]  |
| 专题 | 高能物理研究所_管理与技术支持_多媒体_科技创新论坛 |
| 作者单位 | University of California Santa Cruz |
| 推荐引用方式 GB/T 7714 | Prof.Hartmut Sadrozinski. Ultra-Fast Silicon Detectors. 2015. |
入库方式： OAI收割
来源：高能物理研究所
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