Using graph neural networks to reconstruct charged pion showers in the CMS High Granularity Calorimeter
文献类型：期刊论文
| 作者 | The CMS HGCAL and the CALICE AHCAL collaborations |
| 刊名 | JOURNAL OF INSTRUMENTATION
 |
| 出版日期 | 2024 |
| 卷号 | 19期号:11 |
| ISSN号 | 1748-0221 |
| DOI | 10.1088/1748-0221/19/11/P11025 |
| 文献子类 | Article |
| 源URL | [https://ir.ihep.ac.cn/handle/311005/305647]  |
| 专题 | 高能物理研究所_实验物理中心 |
| 推荐引用方式 GB/T 7714 | The CMS HGCAL and the CALICE AHCAL collaborations. Using graph neural networks to reconstruct charged pion showers in the CMS High Granularity Calorimeter[J]. JOURNAL OF INSTRUMENTATION,2024,19(11). |
| APA | The CMS HGCAL and the CALICE AHCAL collaborations.(2024).Using graph neural networks to reconstruct charged pion showers in the CMS High Granularity Calorimeter.JOURNAL OF INSTRUMENTATION,19(11). |
| MLA | The CMS HGCAL and the CALICE AHCAL collaborations."Using graph neural networks to reconstruct charged pion showers in the CMS High Granularity Calorimeter".JOURNAL OF INSTRUMENTATION 19.11(2024). |
入库方式： OAI收割
来源：高能物理研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。