Deep Learning Based Impact Parameter Determination for the CBM Experiment
In this talk we presented a novel technique, based on Deep Learning, to determine the impact parameter of nuclear collisions at the CBM experiment. PointNet based Deep Learning models are trained on UrQMD followed by CBMRoot simulations of Au+Au collisions at 10 <i>A</i>GeV to reconstruc...
| 主要な著者: | , , , , |
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| フォーマット: | 論文 |
| 言語: | English |
| 出版事項: |
MDPI AG
2021-02-01
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| シリーズ: | Particles |
| 主題: | |
| オンライン･アクセス: | https://www.mdpi.com/2571-712X/4/1/6 |