Academic Journal
Study of GEM-based detectors spatial resolution
| العنوان: | Study of GEM-based detectors spatial resolution |
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| المؤلفون: | Kudryavtsev, V N, Maltsev, T V, Shekhtman, L I |
| المصدر: | Journal of Physics: Conference Series ; volume 1498, issue 1, page 012005 ; ISSN 1742-6588 1742-6596 |
| بيانات النشر: | IOP Publishing |
| سنة النشر: | 2020 |
| الوصف: | Gas Electron Multiplier (GEM) based coordinate detectors are used at different high energy physics centres and at Budker Institute of Nuclear Physics particularly. These detectors possess a spatial resolution in ten micron scale together with high rate capability up to 10 7 cm −2 s −1 . Thus, the precise investigation of best possible spatial resolution, achieved with GEM-detectors, is the subject of interest. The experimental data, accumulated by the moment, gives the possibility to compare it with the simulation results. The simulation of applied detector configurations includes transport of electrons through the detector and tracking of avalanche evolution inside the working volume, as well as obtaining signal distribution on the readout strips. The spatial resolution, obtained in the simulation of an individual detector, is found to be essentially better (the difference is about two standard deviations) than the experimental results. Further efforts to find out the reasons of the contradiction between the simulation and measurements were made. In particular, the simulation of complete experimental set-up (including tracking detectors) was performed. The results of individual detector simulation and the simulation of complete set-up were determined to generally coincide. |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | unknown |
| DOI: | 10.1088/1742-6596/1498/1/012005 |
| DOI: | 10.1088/1742-6596/1498/1/012005/pdf |
| الاتاحة: | http://dx.doi.org/10.1088/1742-6596/1498/1/012005 https://iopscience.iop.org/article/10.1088/1742-6596/1498/1/012005/pdf https://iopscience.iop.org/article/10.1088/1742-6596/1498/1/012005 |
| Rights: | http://creativecommons.org/licenses/by/3.0/ ; https://iopscience.iop.org/info/page/text-and-data-mining |
| رقم الانضمام: | edsbas.54F75FF2 |
| قاعدة البيانات: | BASE |
| DOI: | 10.1088/1742-6596/1498/1/012005 |
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