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Improving the time resolution of the MRPC detector using deep-learning algorithms
| Content Provider | Scilit |
|---|---|
| Author | Wang, F. Han, D. Wang, Y. |
| Copyright Year | 2020 |
| Description | Journal: Journal of Instrumentation The multi-gap resistive plate chambers (MRPCs) will be used as the Time-of-Flight (ToF) system in the Solenoidal Large Intensity Device (SoLID). The time resolution required by the experiment for the MRPC system is 20 ps in order to make a 3 σ separation of the π/K created in the collisions. To achieve this goal, the whole system including the MRPC detector, the front-end electronics and the readout system will be upgraded. Based on the new system, a time reconstruction algorithm using a combined LSTM (ComLSTM) neural network is proposed. The best time resolution achieved with this algorithm in a cosmic ray test is 16.8 ps, which largely improves the timing ability of the MRPC detector and well satisfies the requirement of the SoLID. |
| Related Links | https://iopscience.iop.org/article/10.1088/1748-0221/15/09/C09033/pdf |
| Ending Page | C09033 |
| Page Count | 1 |
| Starting Page | C09033 |
| ISSN | 17480221 |
| e-ISSN | 17480221 |
| DOI | 10.1088/1748-0221/15/09/c09033 |
| Journal | Journal of Instrumentation |
| Issue Number | 9 |
| Volume Number | 15 |
| Language | English |
| Publisher | IOP Publishing |
| Publisher Date | 2020-09-01 |
| Access Restriction | Open |
| Subject Keyword | Journal: Journal of Instrumentation Nuclear Energy and Engineering Improving the Time |
| Content Type | Text |
| Resource Type | Article |
| Subject | Instrumentation Mathematical Physics |
