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| Main Authors: | , , , , , , , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2409.13933 |
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| _version_ | 1866913512069005312 |
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| author | Oli, Tupendra Olin-Ammentorp, Wilkie Wu, Xingfu Qian, Justin H. Sangwan, Vinod K. Hersam, Mark C. Habib, Salman Taylor, Valerie |
| author_facet | Oli, Tupendra Olin-Ammentorp, Wilkie Wu, Xingfu Qian, Justin H. Sangwan, Vinod K. Hersam, Mark C. Habib, Salman Taylor, Valerie |
| contents | As particle physics experiments evolve to achieve higher energies and resolutions, handling the massive data volumes produced by silicon pixel detectors, which are used for charged particle tracking, poses a significant challenge. To address the challenge of data transport from high resolution tracking systems, we investigate a support vector machine (SVM)-based data classification system designed to reject low-momentum particles in real-time. This SVM system achieves high accuracy through the use of a customized mixed kernel function, which is specifically adapted to the data recorded by a silicon tracker. Moreover, this custom kernel can be implemented using highly efficient, novel van der Waals heterojunction devices. This study demonstrates the co-design of circuits with applications that may be adapted to meet future device and processing needs in high-energy physics (HEP) collider experiments. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2409_13933 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Co-Design of 2D Heterojunctions for Data Filtering in Tracking Systems Oli, Tupendra Olin-Ammentorp, Wilkie Wu, Xingfu Qian, Justin H. Sangwan, Vinod K. Hersam, Mark C. Habib, Salman Taylor, Valerie Instrumentation and Detectors High Energy Physics - Experiment As particle physics experiments evolve to achieve higher energies and resolutions, handling the massive data volumes produced by silicon pixel detectors, which are used for charged particle tracking, poses a significant challenge. To address the challenge of data transport from high resolution tracking systems, we investigate a support vector machine (SVM)-based data classification system designed to reject low-momentum particles in real-time. This SVM system achieves high accuracy through the use of a customized mixed kernel function, which is specifically adapted to the data recorded by a silicon tracker. Moreover, this custom kernel can be implemented using highly efficient, novel van der Waals heterojunction devices. This study demonstrates the co-design of circuits with applications that may be adapted to meet future device and processing needs in high-energy physics (HEP) collider experiments. |
| title | Co-Design of 2D Heterojunctions for Data Filtering in Tracking Systems |
| topic | Instrumentation and Detectors High Energy Physics - Experiment |
| url | https://arxiv.org/abs/2409.13933 |